diff --git a/.coveragerc b/.coveragerc
index a220497a..62a3ede8 100644
--- a/.coveragerc
+++ b/.coveragerc
@@ -2,12 +2,8 @@
 omit =
     *__init__*
     */tests/*
-    model_data/temp_inputs.py
-    model_data/config.py
-    model_data/__init__.py
-    model_data/app.py
-    model_data/plotting/*
     recommendations/rdsap_tables.py
-    model_data/simulation_system/*
-    model_data/cleaner_app.py
+    */config.py
+    */app.py
+    */settings.py
     backend/app/*
\ No newline at end of file
diff --git a/.github/workflows/deploy_sap_model_lambda.yml b/.github/workflows/deploy_sap_model_lambda.yml
deleted file mode 100644
index fb4b8dde..00000000
--- a/.github/workflows/deploy_sap_model_lambda.yml
+++ /dev/null
@@ -1,81 +0,0 @@
-name: Sap Model Deploy
-
-on:
-  push:
-    branches: [ dev, prod ]
-
-jobs:
-  deploy:
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v3
-
-      - name: Set up Python
-        uses: actions/setup-python@v2
-        with:
-          python-version: 3.10.12
-
-      - name: Install Serverless and plugins
-        run: |
-          npm install -g serverless
-          npm install -g serverless-domain-manager
-
-      - name: AWS credentials for dev
-        if: github.ref == 'refs/heads/dev'
-        uses: aws-actions/configure-aws-credentials@v1
-        with:
-          aws-access-key-id: ${{ secrets.DEV_AWS_ACCESS_KEY_ID }}
-          aws-secret-access-key: ${{ secrets.DEV_AWS_SECRET_ACCESS_KEY }}
-          aws-region: eu-west-2
-
-      - name: AWS credentials for prod
-        if: github.ref == 'refs/heads/prod'
-        uses: aws-actions/configure-aws-credentials@v1
-        with:
-          aws-access-key-id: ${{ secrets.PROD_AWS_ACCESS_KEY_ID }}
-          aws-secret-access-key: ${{ secrets.PROD_AWS_SECRET_ACCESS_KEY }}
-          aws-region: eu-west-2
-
-      - name: Set domain name
-        id: set_domain
-        run: echo "::set-output name=domain::${{ secrets[format('{0}_DOMAIN_NAME', github.ref_name)] }}"
-
-      - name: Set ECR credentials
-        id: set_ecr_credentials
-        run: |
-          echo "::set-output name=ecr_uri::${{ secrets[format('{0}_SAP_MODEL_ECR_URI', github.ref_name)] }}"
-
-      - name: Setup Docker
-        uses: docker/setup-buildx-action@v1
-
-      - name: Login to ECR
-        run: |
-          aws ecr get-login-password --region eu-west-2 | docker login --username AWS --password-stdin ${{ steps.set_ecr_credentials.outputs.ecr_uri }}
-
-      # Building and pushing Docker image with caching
-      - name: Build and push Docker image
-        uses: docker/build-push-action@v3
-        with:
-          context: ./model_data/simulation_system
-          file: ./model_data/simulation_system/Dockerfiles/Dockerfile.prediction.lambda
-          push: true
-          tags: ${{ steps.set_ecr_credentials.outputs.ecr_uri }}:${{ github.sha }}
-          cache-from: type=gha
-          cache-to: type=gha,mode=max
-          platform: linux/amd64
-          provenance: false
-
-      - name: Deploy to AWS Lambda via Serverless
-        env:
-          RUNTIME_ENVIRONMENT: ${{ github.ref_name }}
-          MODEL_DIRECTORY_BUCKET: 'retrofit-model-directory-${{ github.ref_name }}'
-          PREDICTIONS_BUCKET: 'retrofit-sap-predictions-${{ github.ref_name }}'
-          DATA_BUCKET: 'retrofit-data-${{ github.ref_name }}'
-          DOMAIN_NAME: ${{ steps.set_domain.outputs.domain }}
-          ECR_URI: ${{ steps.set_ecr_credentials.outputs.ecr_uri }}
-          GITHUB_SHA: ${{ github.sha }}
-        run: |
-          # Deploy to AWS Lambda via Serverless
-          sls deploy --config sapmodel.serverless.yml --stage ${{ github.ref_name }} --verbose
diff --git a/.gitignore b/.gitignore
index 98db3e9a..6a580686 100644
--- a/.gitignore
+++ b/.gitignore
@@ -239,7 +239,8 @@ fabric.properties
 .idea/caches/build_file_checksums.ser
 
 # Locally stored data
-/model_data/local_data/*
+local_data/*
+/local_data/*
 
 *.DS_Store
 infrastructure/terraform/.terraform*
@@ -261,3 +262,6 @@ model_data/simulation_system/predictions/
 
 .idea/Model.iml
 .idea/misc.iml
+
+adhoc
+adhoc/*
\ No newline at end of file
diff --git a/.idea/Model.iml b/.idea/Model.iml
index b03b31b1..4413bb06 100644
--- a/.idea/Model.iml
+++ b/.idea/Model.iml
@@ -7,7 +7,14 @@
       <sourceFolder url="file://$MODULE_DIR$/open_uprn" isTestSource="false" />
       <sourceFolder url="file://$MODULE_DIR$/recommendations" isTestSource="false" />
     </content>
-    <orderEntry type="jdk" jdkName="Python 3.10 (model_data)" jdkType="Python SDK" />
+    <orderEntry type="jdk" jdkName="Python 3.10 (backend)" jdkType="Python SDK" />
     <orderEntry type="sourceFolder" forTests="false" />
   </component>
+  <component name="PyNamespacePackagesService">
+    <option name="namespacePackageFolders">
+      <list>
+        <option value="$MODULE_DIR$/local_data" />
+      </list>
+    </option>
+  </component>
 </module>
\ No newline at end of file
diff --git a/.idea/misc.xml b/.idea/misc.xml
index ca0e1cd9..3b05c6ac 100644
--- a/.idea/misc.xml
+++ b/.idea/misc.xml
@@ -1,6 +1,6 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <project version="4">
-  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.10 (model_data)" project-jdk-type="Python SDK" />
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.10 (backend)" project-jdk-type="Python SDK" />
   <component name="PythonCompatibilityInspectionAdvertiser">
     <option name="version" value="3" />
   </component>
diff --git a/model_data/BaseUtility.py b/BaseUtility.py
similarity index 97%
rename from model_data/BaseUtility.py
rename to BaseUtility.py
index beece742..bd2f091e 100644
--- a/model_data/BaseUtility.py
+++ b/BaseUtility.py
@@ -43,7 +43,9 @@ class Definitions:
         # contained within the first of these multiple entries is being provided. As there are no restrictions on the 
         # value in this first field it means that sometimes the first field in a multiple entry description field may 
         # contain a ‘null’ value. A resolution to correct these anomalies will be considered for future data releases.
-        "NULL"
+        "NULL",
+        # We sometimes see fields populated with just an empty string.
+        ""
     }
 
     DATA_ANOMALY_SUBSTRINGS = {
diff --git a/backend/Property.py b/backend/Property.py
index 2358cbc2..2a201b97 100644
--- a/backend/Property.py
+++ b/backend/Property.py
@@ -1,9 +1,22 @@
 from datetime import datetime
 import re
+import os
+import pandas as pd
+
+from etl.epc.DataProcessor import DataProcessor
+from etl.epc_clean.epc_attributes.all_cleaners import all_cleaner_map
+from utils.logger import setup_logger
+from utils.s3 import read_dataframe_from_s3_parquet
 from epc_api.client import EpcClient
-from model_data.config import EPC_AUTH_TOKEN
-from model_data.BaseUtility import Definitions
+from BaseUtility import Definitions
 from recommendations.rdsap_tables import england_wales_age_band_lookup
+from recommendations.recommendation_utils import estimate_floors, estimate_perimeter, get_wall_type, estimate_wall_area
+
+ENVIRONMENT = os.environ.get('ENVIRONMENT', 'dev')
+EPC_AUTH_TOKEN = os.environ.get('EPC_AUTH_TOKEN')
+DATA_BUCKET = os.environ.get('DATA_BUCKET', 'retrofit-data-dev' if ENVIRONMENT == 'dev' else None)
+
+logger = setup_logger()
 
 
 class Property(Definitions):
@@ -30,17 +43,27 @@ class Property(Definitions):
     lighting = None
 
     coordinates = None
-    age_band = None
 
     def __init__(self, id, postcode, address1, epc_client=None, data=None):
         self.id = id
         self.postcode = postcode
         self.address1 = address1
         self.data = data
+        self.old_data = None
+        self.property_dimensions = None
+
+        self.uprn = None
         self.full_sap_epc = None
-        self.in_conservation_area = None
+        self.in_conservation_area, self.is_listed, self.is_heritage = None, None, None
+        self.restricted_measures = False
         self.year_built = None
         self.number_of_rooms = None
+        self.age_band = None
+        self.construction_age_band = None
+        self.number_of_floors = None
+        self.perimeter = None
+        self.wall_type = None
+        self.floor_type = None
 
         self.energy = None
         self.ventilation = None
@@ -83,9 +106,14 @@ class Property(Definitions):
             ]
             if len(newest_response) > 1:
                 raise Exception("More than one result found for this address - investigate me")
+
+            # We'll keep old EPCs in case it contains information, not present on the newest one
+            self.old_data = [epc for epc in response["rows"] if epc["lmk-key"] != newest_response[0]["lmk-key"]]
+
             response["rows"] = newest_response
 
         self.data = response["rows"][0]
+        self.uprn = int(self.data["uprn"])
 
     def set_coordinates(self, coordinates):
         """
@@ -127,7 +155,7 @@ class Property(Definitions):
         """
 
         ventilation = self.data["mechanical-ventilation"]
-        # perform some simple cleaning - when checking 300k properties, the only unique values were
+        # perform some simple cleaning - when checking 300k epc, the only unique values were
         # {'', 'mechanical, supply and extract', 'NO DATA!', 'natural', 'mechanical, extract only'}
         if ventilation in self.DATA_ANOMALY_MATCHES or ventilation in [""]:
             ventilation = None
@@ -145,7 +173,7 @@ class Property(Definitions):
         - solar_pv
         This is based on the "photo-supply" field in the EPC data.
 
-        When checking 100k properties, either the value was "" or a stringified number
+        When checking 100k epc, either the value was "" or a stringified number
         """
 
         solar_pv = self.data["photo-supply"]
@@ -244,11 +272,10 @@ class Property(Definitions):
         self.set_count_variables()
         self.set_heat_loss_corridor()
         self.set_mains_gas()
-        self.set_floor_height()
-        self.set_wall_area()
-        self.set_floor_area()
         self.set_age_band()
 
+        self.set_basic_property_dimensions()
+
         for description, attribute in cleaned.items():
 
             if self.data[description] in self.DATA_ANOMALY_MATCHES:
@@ -262,10 +289,19 @@ class Property(Definitions):
             attributes = [
                 x for x in cleaned[description] if x["original_description"] == self.data[description]
             ]
-            if len(attributes) != 1:
+            if len(attributes) > 1:
                 raise ValueError("Either No attributes or multiple found for %s" % description)
+
+            if len(attributes) == 0:
+                # We attempt to perform the clean on the fly
+                cleaner_cls = all_cleaner_map[description]
+                attributes = [cleaner_cls(self.data[description]).process()]
+
             setattr(self, self.ATTRIBUTE_MAP[description], attributes[0])
 
+        self.set_wall_type()
+        self.set_floor_type()
+
     def set_age_band(self):
         """
         Sets a cleaned version of the age band of the property given the EPC data
@@ -275,14 +311,20 @@ class Property(Definitions):
         if not self.data:
             raise ValueError("Property does not contain data")
 
-        self.age_band = england_wales_age_band_lookup[self.data["construction-age-band"]]
+        self.construction_age_band = DataProcessor.clean_construction_age_band(self.data["construction-age-band"])
+        self.age_band = england_wales_age_band_lookup.get(self.construction_age_band)
 
-    def set_is_in_conservation_area(self, in_conservation_area):
+    def set_spatial(self, spatial: pd.DataFrame):
         """
         Sets whether the property is in a conservation area given the output of the ConservationAreaClient
-        :param in_conservation_area:  string value, indicating whether the property is in a conservation area
+        :param spatial:  Dataframe, containing the spatial data for the property
         """
-        self.in_conservation_area = in_conservation_area
+        self.in_conservation_area = spatial["conservation_status"].values[0]
+        self.is_listed = spatial["is_listed_building"].values[0]
+        self.is_heritage = spatial["is_heritage_building"].values[0]
+
+        if self.in_conservation_area is True | self.is_listed is True | self.is_heritage is True:
+            self.restricted_measures = True
 
     def set_year_built(self):
         """
@@ -349,17 +391,6 @@ class Property(Definitions):
         else:
             self.mains_gas = map[self.data["mains-gas-flag"]]
 
-    def set_floor_height(self):
-        """
-        Sets the floor height of the property
-        :return:
-        """
-
-        if self.data["floor-height"] == "" or self.data["floor-height"] in self.DATA_ANOMALY_MATCHES:
-            self.floor_height = None
-        else:
-            self.floor_height = float(self.data["floor-height"])
-
     def _clean_upload_data(self, to_update):
         for k, v in to_update.items():
             if v in self.DATA_ANOMALY_MATCHES:
@@ -443,21 +474,210 @@ class Property(Definitions):
 
         return property_details_epc
 
-    def set_wall_area(self):
-        """
-        This method is placeholder
-        It implements our floor area model to produce an estimate of the property's insulatable wall area
-        """
-
-        import random
-        self.insulation_wall_area = random.uniform(60, 100)
-
-    def set_floor_area(self):
-        """
-        Sets the floor area based on the EPC data
+    def get_spatial_data(self, uprn_filenames):
 
         """
-        # We don't know the number of floors at the moment so we're going to assume 1
-        # however this is something we'll need to use Verisk data for
+        Given a property's UPRN, this method will pull the associated spatial data from s3
+        :return:
+        """
+
+        if self.uprn is None:
+            raise ValueError("URPN is not set, run search_address_epc")
+
+        # We get the file name for the uprn
+        filtered_df = uprn_filenames[(uprn_filenames['lower'] <= self.uprn) & (uprn_filenames['upper'] >= self.uprn)]
+        if filtered_df.empty:
+            logger.warning("Could not find file containing UPRNS")
+            return None
+
+        filename = filtered_df.iloc[0]['filenames']
+
+        spatial_data = read_dataframe_from_s3_parquet(
+            bucket_name=DATA_BUCKET, file_key=f"spatial/{filename}"
+        )
+
+        spatial = spatial_data[spatial_data["UPRN"] == self.uprn]
+
+        # Pull out spatial features
+        self.set_spatial(spatial)
+
+    def _filter_property_dimensions(self, property_dimensions):
+        """
+        Will filter the property dimensions dataframe to only include the relevant rows for the property
+        :param property_dimensions:
+        :return: filtered property dimensions dataframe
+        """
+
+        result = property_dimensions[(property_dimensions["PROPERTY_TYPE"] == self.data["property-type"])]
+
+        if self.construction_age_band is not None and self.construction_age_band not in self.DATA_ANOMALY_MATCHES:
+            result = result[(result["CONSTRUCTION_AGE_BAND"] == self.construction_age_band)]
+
+        if self.data["built-form"] not in self.DATA_ANOMALY_MATCHES and self.data["built-form"] in result["BUILT_FORM"]:
+            result = result[(result["BUILT_FORM"] == self.data["built-form"])]
+
+        return result[["NUMBER_HABITABLE_ROOMS", "TOTAL_FLOOR_AREA", "FLOOR_HEIGHT"]].mean()
+
+    def set_basic_property_dimensions(self):
+        """
+        This method sets the number of floors of the property, using a simple approach based on an estimate for
+        average room size, number of rooms and total floor area
+
+        It sets the perimeter of the property, using a simple approach based on an estimate for average room size,
+        number of rooms and total floor area
+
+        Also sets floor area, number of rooms, using backup cleaned values if this data is not present, based on
+        medians across the EPC data
+        :return:
+        """
 
         self.floor_area = float(self.data["total-floor-area"])
+
+        if not self.data["number-habitable-rooms"] or (
+            self.data["floor-height"] == "" or self.data["floor-height"] in self.DATA_ANOMALY_MATCHES
+        ):
+            if self.property_dimensions is None:
+                property_dimensions = read_dataframe_from_s3_parquet(
+                    bucket_name=DATA_BUCKET, file_key=f"property_dimensions/{self.data['local-authority']}.parquet"
+                )
+                self.property_dimensions = self._filter_property_dimensions(property_dimensions)
+
+        if not self.data["number-habitable-rooms"]:
+            self.number_of_rooms = float(self.property_dimensions["NUMBER_HABITABLE_ROOMS"].round())
+        else:
+            self.number_of_rooms = float(self.data["number-habitable-rooms"])
+
+        if self.data["property-type"] == "House":
+            self.number_of_floors = estimate_floors(self.floor_area, self.number_of_rooms)
+        elif self.data["property-type"] == "Flat":
+            self.number_of_floors = 1
+        else:
+            raise NotImplementedError("Implement me")
+
+        if self.data["floor-height"] == "" or self.data["floor-height"] in self.DATA_ANOMALY_MATCHES:
+            self.floor_height = float(self.property_dimensions["FLOOR_HEIGHT"].round(2))
+        else:
+            self.floor_height = float(self.data["floor-height"])
+
+        self.perimeter = estimate_perimeter(
+            self.floor_area / self.number_of_floors, self.number_of_rooms / self.number_of_floors
+        )
+
+        self.insulation_wall_area = estimate_wall_area(
+            num_floors=self.number_of_floors, floor_height=self.floor_height, perimeter=self.perimeter
+        )
+
+    def set_wall_type(self):
+        """
+        This method sets the wall type of the property, using a simple approach based on the wall description
+        :return:
+        """
+        self.wall_type = get_wall_type(**self.walls)
+
+    def set_floor_type(self):
+        """
+        This method sets the floor type of the property, which is used for calculating u-values
+        :return:
+        """
+        self.floor_type = "suspended" if self.floor["is_suspended"] else "solid"
+
+    @staticmethod
+    def _extract_component(component_data, component_rename_cols, component_drop_cols, rename_prefix=None):
+        for k in component_rename_cols:
+            component_data[f"{rename_prefix}_{k}"] = component_data[k]
+
+        component_data = {
+            k: v for k, v in component_data.items() if k not in component_drop_cols + component_rename_cols
+        }
+
+        return component_data
+
+    def get_model_data(self):
+        """
+        This method extracts cleaned data from the property object, which is used in our machine learning models
+
+        This will use many of the cleaned properties, extracted from the epc data, or methods in DataProcessor.
+
+        For future iterations of this, we probably want to implement a singular method in DataProcessor, which can
+        be used in the etl code and in here
+
+        :return: dictionary of model data to be scored in the model
+        """
+
+        drop_cols = ["original_description", "clean_description"]
+        insulation_drop_cols = ["thermal_transmittance_unit", "is_assumed", "is_valid"]
+        insulation_rename_cols = ["thermal_transmittance", "insulation_thickness"]
+
+        walls = self._extract_component(self.walls, insulation_rename_cols, insulation_drop_cols + drop_cols, "walls")
+        roof = self._extract_component(self.roof, insulation_rename_cols, insulation_drop_cols + drop_cols, "roof")
+        floor = self._extract_component(self.floor, insulation_rename_cols, insulation_drop_cols + drop_cols, "floor")
+
+        windows = self._extract_component(self.windows, [], drop_cols + ["no_data"])
+        fuel = self._extract_component(self.main_fuel, ["tariff_type"], drop_cols + ["tariff_type"], "main-fuel")
+        main_heating = self._extract_component(self.main_heating, [], drop_cols + ["has_assumed"])
+        main_heating_controls = self._extract_component(self.main_heating_controls, [], drop_cols)
+        hotwater = self._extract_component(self.hotwater, ["tariff_type"], drop_cols + ['assumed'], "hotwater")
+
+        # We'll need to clean second heating
+        second_heating = self.data["secondheat-description"]
+
+        epc_raw_columns = [
+            'TRANSACTION_TYPE',
+            'ENERGY_TARIFF',
+            'PROPERTY_TYPE',
+            'UPRN',
+            'NUMBER_OPEN_FIREPLACES',
+            'FIXED_LIGHTING_OUTLETS_COUNT',
+            'MULTI_GLAZE_PROPORTION',
+            'MECHANICAL_VENTILATION',
+            'PHOTO_SUPPLY',
+            'LOW_ENERGY_LIGHTING',
+            'SOLAR_WATER_HEATING_FLAG',
+            'GLAZED_TYPE',
+            'CONSTITUENCY',
+            'NUMBER_HEATED_ROOMS',
+            'EXTENSION_COUNT',
+        ]
+        epc_raw_data = {
+            k: self.data[k.lower().replace("_", "-")] for k in epc_raw_columns
+        }
+
+        built_form_cleaning_map = {
+            "Flat": "Mid-Terrace",
+            "House": "Semi-Detached",
+            "Bungalow": "Detached",
+            "Maisonette": "Mid-Terrace"
+        }
+
+        built_form = self.data["built-form"]
+        if built_form in self.DATA_ANOMALY_MATCHES:
+            # TODO: If built form isn't captured, we use the most common value for that property type - we shall
+            #       improve this methodology
+            built_form = built_form_cleaning_map.get(self.data["property-type"])
+            if not built_form:
+                raise NotImplementedError("Not handled this property type when cleaning built form")
+
+        property_data = {
+            **walls,
+            **roof,
+            **floor,
+            **fuel,
+            **main_heating,
+            **main_heating_controls,
+            **hotwater,
+            **windows,
+            "SECONDHEAT_DESCRIPTION": second_heating,
+            "DAYS_TO": DataProcessor.calculate_days_to(self.data["lodgement-date"]),
+            "SAP": float(self.data["current-energy-efficiency"]),
+            "CARBON": float(self.data["co2-emissions-current"]),
+            "HEAT_DEMAND": float(self.data["energy-consumption-current"]),
+            "estimated_perimeter": self.perimeter,
+            "CONSTRUCTION_AGE_BAND": self.construction_age_band,
+            "FLOOR_HEIGHT": self.floor_height,
+            "NUMBER_HABITABLE_ROOMS": self.number_of_rooms,
+            "TOTAL_FLOOR_AREA": self.floor_area,
+            **epc_raw_data,
+            "BUILT_FORM": built_form,
+        }
+
+        return property_data
diff --git a/backend/app/db/functions/materials_functions.py b/backend/app/db/functions/materials_functions.py
index a9995cf4..f3c2f316 100644
--- a/backend/app/db/functions/materials_functions.py
+++ b/backend/app/db/functions/materials_functions.py
@@ -1,10 +1,17 @@
 from backend.app.db.models.materials import Material
+from functools import lru_cache
 
 
+@lru_cache(maxsize=128)
 def get_materials(session):
     """
     This function will retrieve all materials from the database.
     :return: A list of Material objects if successful, an empty list otherwise.
+
+
+    TODO: It might not be the best choice to store the materials data in a database table since thi
+          table probably won't be very large and won't be updated that often. It might be better to
+          store this data in s3 load it into memory when the app starts up. We will test this
     """
 
     materials = session.query(Material).filter(Material.is_active).all()
diff --git a/backend/app/db/models/materials.py b/backend/app/db/models/materials.py
index 00430b1c..09d7369d 100644
--- a/backend/app/db/models/materials.py
+++ b/backend/app/db/models/materials.py
@@ -12,6 +12,7 @@ class MaterialType(enum.Enum):
     solid_floor_insulation = "solid_floor_insulation"
     external_wall_insulation = "external_wall_insulation"
     internal_wall_insulation = "internal_wall_insulation"
+    cavity_wall_insulation = "cavity_wall_insulation"
 
 
 class DepthUnit(enum.Enum):
diff --git a/backend/app/plan/router.py b/backend/app/plan/router.py
index a8ad04a7..50801b64 100644
--- a/backend/app/plan/router.py
+++ b/backend/app/plan/router.py
@@ -1,50 +1,41 @@
-from collections import defaultdict
-from fastapi import APIRouter, Depends
-from backend.app.db.models.portfolio import rating_lookup
-from backend.app.dependencies import validate_token
-from backend.app.plan.schemas import PlanTriggerRequest
-from backend.app.utils import read_csv_from_s3
-from backend.app.config import get_settings
-from backend.Property import Property
-from epc_api.client import EpcClient
-from utils.logger import setup_logger
-from utils.s3 import read_from_s3
-from recommendations.FloorRecommendations import FloorRecommendations
-from recommendations.WallRecommendations import WallRecommendations
-from recommendations.config import UPGRADES_MAP
-from utils.uvalue_estimates import classify_decile_newvalues
-from backend.app.db.utils import row2dict
-from starlette.responses import Response
-from sqlalchemy.orm import sessionmaker
-from sqlalchemy.exc import IntegrityError, OperationalError
 from datetime import datetime
+
 import pandas as pd
-import msgpack
+from epc_api.client import EpcClient
+from fastapi import APIRouter, Depends
+from sqlalchemy.exc import IntegrityError, OperationalError
+from sqlalchemy.orm import sessionmaker
+from starlette.responses import Response
 
-# model apis
-from backend.ml_models.sap_change_model.api import SAPChangeModelAPI
-
-# database interaction functions
-from backend.app.db.functions.property_functions import (
-    create_property, create_property_targets, update_property_data, create_property_details_epc
-)
+from backend.app.config import get_settings
+from backend.app.db.connection import db_engine
 from backend.app.db.functions.materials_functions import get_materials
+from backend.app.db.functions.portfolio_functions import aggregate_portfolio_recommendations
+from backend.app.db.functions.property_functions import (
+    create_property, create_property_details_epc, create_property_targets, update_property_data
+)
 from backend.app.db.functions.recommendations_functions import (
     create_plan, create_plan_recommendations, upload_recommendations
 )
-from backend.app.db.functions.portfolio_functions import aggregate_portfolio_recommendations
-from backend.app.db.connection import db_engine
+from backend.app.db.models.portfolio import rating_lookup
+from backend.app.dependencies import validate_token
+from backend.app.plan.schemas import PlanTriggerRequest
+from backend.app.plan.utils import (
+    create_recommendation_scoring_data, filter_materials, get_cleaned, insert_temp_recommendation_id
+)
+from backend.app.utils import epc_to_sap_lower_bound, read_csv_from_s3, read_parquet_from_s3
 
-from model_data.optimiser.GainOptimiser import GainOptimiser
-from model_data.optimiser.CostOptimiser import CostOptimiser
-from backend.app.utils import epc_to_sap_lower_bound, read_parquet_from_s3
-from model_data.optimiser.optimiser_functions import prepare_input_measures
-from model_data.simulation_system.core.DataProcessor import DataProcessor
-from model_data.simulation_system.core.Settings import COLUMNS_TO_MERGE_ON
-
-# TODO: This is placeholder until data is stored in DB
-from backend.app.plan.uvalue_estimates_walls import uvalue_estimates_walls
-from backend.app.plan.uvalue_estimates_floors import uvalue_estimates_floors
+from backend.ml_models.sap_change_model.api import SAPChangeModelAPI
+from backend.Property import Property
+from etl.epc.DataProcessor import DataProcessor
+from etl.epc.settings import COLUMNS_TO_MERGE_ON
+from recommendations.FloorRecommendations import FloorRecommendations
+from recommendations.optimiser.CostOptimiser import CostOptimiser
+from recommendations.optimiser.GainOptimiser import GainOptimiser
+from recommendations.optimiser.optimiser_functions import prepare_input_measures
+from recommendations.WallRecommendations import WallRecommendations
+from utils.logger import setup_logger
+from utils.s3 import read_dataframe_from_s3_parquet
 
 logger = setup_logger()
 
@@ -55,147 +46,25 @@ router = APIRouter(
     responses={404: {"description": "Not found"}}
 )
 
-# TODO: Load this data from db
-open_uprn_data = [
-    {'UPRN': 6032920, 'X_COORDINATE': 535110.0, 'Y_COORDINATE': 181819.0, 'LATITUDE': 51.5191407,
-     'LONGITUDE': -0.0540506},
-    {'UPRN': 6038625, 'X_COORDINATE': 535374.0, 'Y_COORDINATE': 182784.0, 'LATITUDE': 51.5277492,
-     'LONGITUDE': -0.0498772},
-    {'UPRN': 34153991, 'X_COORDINATE': 523238.74, 'Y_COORDINATE': 178003.02, 'LATITUDE': 51.4875579,
-     'LONGITUDE': -0.226392},
-    {'UPRN': 10008299676, 'X_COORDINATE': 533285.0, 'Y_COORDINATE': 184711.0, 'LATITUDE': 51.5455629,
-     'LONGITUDE': -0.0792445},
-    {'UPRN': 10008299677, 'X_COORDINATE': 533285.0, 'Y_COORDINATE': 184711.0, 'LATITUDE': 51.5455629,
-     'LONGITUDE': -0.0792445},
-    {'UPRN': 100021039066, 'X_COORDINATE': 535506.0, 'Y_COORDINATE': 185624.0, 'LATITUDE': 51.5532385,
-     'LONGITUDE': -0.0468833},
-    {'UPRN': 100021226060, 'X_COORDINATE': 529247.0, 'Y_COORDINATE': 187959.0, 'LATITUDE': 51.5756908,
-     'LONGITUDE': -0.1362513},
-    {'UPRN': 200003489276, 'X_COORDINATE': 533210.0, 'Y_COORDINATE': 179442.0, 'LATITUDE': 51.4982309,
-     'LONGITUDE': -0.0823165}
-]
-
-in_conservation_area_data = [
-    {'uprn': 6032920, 'is_in_conservation_area': 'not_in_conservation_area'},
-    {'uprn': 6038625, 'is_in_conservation_area': 'not_in_conservation_area'},
-    {'uprn': 34153991, 'is_in_conservation_area': 'unknown'},
-    {'uprn': 10008299676, 'is_in_conservation_area': 'in_conservation_area'},
-    {'uprn': 10008299677, 'is_in_conservation_area': 'in_conservation_area'},
-    {'uprn': 100021039066, 'is_in_conservation_area': 'not_in_conservation_area'},
-    {'uprn': 100021226060, 'is_in_conservation_area': 'in_conservation_area'},
-    {'uprn': 200003489276, 'is_in_conservation_area': 'in_conservation_area'}
-]
-
-# TODO: db
-floors_decile_data = {
-    'decile_labels': ['Decile 1', 'Decile 2', 'Decile 3', 'Decile 4', 'Decile 5', 'Decile 6', 'Decile 7', 'Decile 8',
-                      'Decile 9', 'Decile 10'], 'decile_boundaries': [6., 50., 56., 69., 77.6, 87., 98., 112.,
-                                                                      127., 150., 2279.]}
-
-walls_decile_data = {
-    'decile_labels': ['Decile 1', 'Decile 2', 'Decile 3', 'Decile 4', 'Decile 5', 'Decile 6', 'Decile 7', 'Decile 8',
-                      'Decile 9', 'Decile 10'], 'decile_boundaries': [6., 49., 51., 55., 64., 71., 76., 83., 96.,
-                                                                      120., 2279.]}
-
-
-def filter_materials(materials):
-    materials_by_type = defaultdict(list)
-
-    for material in materials:
-        material = row2dict(material)
-        material_type = material["type"]
-        materials_by_type[material_type].append(material)
-
-    # Optionally, you can convert the defaultdict to a normal dict if desired
-    materials_by_type = dict(materials_by_type)
-
-    return materials_by_type
-
-
-def insert_temp_recommendation_id(property_recommendations):
-    """
-    Creates a temporary recommendation id which is needed for
-    filtering recommendations between default and no, after the optimiser has been
-    run
-    :param property_recommendations:  nested list of recommendations, grouped by data_types
-    :return: Updated recommendations_to_upload, where where recommendation has a "recommendation_id"
-             integer inserted
-    """
-    idx = 0
-
-    for recs in property_recommendations:
-        for rec in recs:
-            rec["recommendation_id"] = idx
-            idx += 1
-
-    return property_recommendations
-
-
-def get_cleaned():
-    """
-    This function will retrieve the cleaned dataset from s3 which has the cleaned
-    descriptions for the epc dataset
-
-    This data is stored in MessagePack format and therefore needs to be decoded
-    :return:
-    """
-
-    cleaned = read_from_s3(
-        s3_file_name="cleaned_epc_data/cleaned.bson",
-        bucket_name="retrofit-data-{environment}".format(environment=get_settings().ENVIRONMENT)
-    )
-
-    cleaned = msgpack.unpackb(cleaned, raw=False)
-
-    return cleaned
-
-
-def create_recommendation_scoring_data(
-    property: Property,
-    recommendation: dict,
-    starting_epc_data: pd.DataFrame,
-    ending_epc_data: pd.DataFrame,
-    fixed_data: pd.DataFrame,
-):
-    """
-    This wrapper function prepares data to be passed to the sap model api
-    :return:
-    """
-
-    scoring_dict = {
-        "UPRN": property.data["uprn"],
-        "id": "+".join([str(property.id), str(recommendation["recommendation_id"])]),
-        "LOCAL_AUTHORITY": property.data["local-authority"],
-        **starting_epc_data.to_dict("records")[0],
-        **ending_epc_data.to_dict("records")[0],
-        **fixed_data.to_dict("records")[0]
-    }
-
-    # We update the description to indicate it's insulated
-    if recommendation["type"] == "wall_insulation":
-        scoring_dict["WALLS_DESCRIPTION_ENDING"] = UPGRADES_MAP[property.walls["clean_description"]]
-    elif recommendation["type"] == "floor_insulation":
-        scoring_dict["FLOOR_DESCRIPTION_ENDING"] = UPGRADES_MAP[property.floor["clean_description"]]
-    else:
-        raise NotImplementedError("Implement me")
-
-    return scoring_dict
-
 
 @router.post("/trigger")
 async def trigger_plan(body: PlanTriggerRequest):
     logger.info("Connecting to db")
     session = sessionmaker(bind=db_engine)()
-    created_at = datetime.now().strftime("%Y-%m-%d-%H-%M-%S")
+    created_at = datetime.now().isoformat()
 
     try:
         session.begin()
         logger.info("Getting the inputs")
-        # Read in the trigger file from s3
-        bucket_name = get_settings().PLAN_TRIGGER_BUCKET
         epc_client = EpcClient(auth_token=get_settings().EPC_AUTH_TOKEN)
+        plan_input = read_csv_from_s3(bucket_name=get_settings().PLAN_TRIGGER_BUCKET, filepath=body.trigger_file_path)
+        uprn_filenames = read_dataframe_from_s3_parquet(
+            bucket_name=get_settings().DATA_BUCKET, file_key="spatial/filename_meta.parquet"
+        )
+        cleaning_data = read_parquet_from_s3(
+            bucket_name=get_settings().DATA_BUCKET, file_key="sap_change_model/cleaning_dataset.parquet",
+        )
 
-        plan_input = read_csv_from_s3(bucket_name=bucket_name, filepath=body.trigger_file_path)
         input_properties = []
         for config in plan_input:
             # We validate each record in the file. If the record is NOT valid, we need to handle this accordingly
@@ -228,32 +97,21 @@ async def trigger_plan(body: PlanTriggerRequest):
         if not input_properties:
             return Response(status_code=204)
 
-        logger.info("Getting EPC, coordinates and conservation area data")
+        logger.info("Getting EPC, and spatial data")
         for p in input_properties:
             p.search_address_epc()
             p.set_year_built()
-
-            coordinate_data = [x for x in open_uprn_data if x['UPRN'] == int(p.data['uprn'])][0]
-            p.set_coordinates(coordinate_data)
-
-            in_conservation_area = [x for x in in_conservation_area_data if x['uprn'] == int(p.data['uprn'])][0].get(
-                "is_in_conservation_area"
-            )
-            p.set_is_in_conservation_area(in_conservation_area)
+            p.get_spatial_data(uprn_filenames)
 
         # The materials data could be cached or local so we don't need to make
         # consistent requests to the backend for
         # the same data
-        # TODO: It might not be the best choice to store the materials data in a database table since thi
-        #       table probably won't be very large and won't be updated that often. It might be better to
-        #       store this data in s3 load it into memory when the app starts up. We will test this
-
         logger.info("Reading in materials and cleaned datasets")
         materials = get_materials(session)
         materials_by_type = filter_materials(materials)
         cleaned = get_cleaned()
 
-        logger.info("Getting components and properties recommendations")
+        logger.info("Getting components and epc recommendations")
 
         # TODO: Move this to a class. We probably want a Recommender class which takes the injects the optimisers
         #      in as a dependency and then the optimisers can take the input measures in as part of the setup() method
@@ -263,34 +121,13 @@ async def trigger_plan(body: PlanTriggerRequest):
         for p in input_properties:
             property_recommendations = []
 
-            # For each property, classiy floor area decide
-            total_floor_area_group_decile = classify_decile_newvalues(
-                decile_boundaries=floors_decile_data["decile_boundaries"],
-                decile_labels=floors_decile_data["decile_labels"],
-                new_values=[float(p.data["total-floor-area"])],
-            )[0]
-
             # Property recommendations
             p.get_components(cleaned)
 
-            # This is placeholder, until the full dataset is loaded into the database and we just make a read to the
-            # database
-            floors_u_value_estimate = [
-                x for x in uvalue_estimates_floors
-                if (x['local-authority'] == p.data["local-authority"]) &
-                   (x['property-type'] == p.data["property-type"]) &
-                   (x['built-form'] == p.data["built-form"]) &
-                   (x['floor-energy-eff'] == p.data["floor-energy-eff"] if p.data[
-                                                                               "floor-energy-eff"] != 'N/A' else True) &
-                   (x['floor-env-eff'] == p.data["floor-env-eff"] if p.data["floor-env-eff"] != 'N/A' else True)
-            ]
-
             # Floor recommendations
             floor_recommender = FloorRecommendations(
                 property_instance=p,
-                uvalue_estimates=floors_u_value_estimate,
-                total_floor_area_group_decile=total_floor_area_group_decile,
-                materials=materials_by_type["suspended_floor_insulation"] + materials_by_type["solid_floor_insulation"],
+                materials=materials_by_type["floor"],
             )
             floor_recommender.recommend()
 
@@ -298,30 +135,10 @@ async def trigger_plan(body: PlanTriggerRequest):
                 property_recommendations.append(floor_recommender.recommendations)
 
             # Wall recommendations
-            # We would make this u-value query directly to the database
-            total_floor_area_group_decile = classify_decile_newvalues(
-                decile_boundaries=walls_decile_data["decile_boundaries"],
-                decile_labels=walls_decile_data["decile_labels"],
-                new_values=[float(p.data["total-floor-area"])],
-            )[0]
-
-            # This is placeholder, until the full dataset is loaded into the database and we just make a read to the
-            # database
-            walls_u_value_estimate = [
-                x for x in uvalue_estimates_walls
-                if (x['local-authority'] == p.data["local-authority"]) &
-                   (x['property-type'] == p.data["property-type"]) &
-                   (x['built-form'] == p.data["built-form"]) &
-                   (x['walls-energy-eff'] == p.data["walls-energy-eff"] if p.data[
-                                                                               "walls-energy-eff"] != 'N/A' else True) &
-                   (x['walls-env-eff'] == p.data["walls-env-eff"] if p.data["walls-env-eff"] != 'N/A' else True)
-            ]
 
             wall_recomender = WallRecommendations(
                 property_instance=p,
-                uvalue_estimates=walls_u_value_estimate,
-                total_floor_area_group_decile=total_floor_area_group_decile,
-                materials=materials_by_type["external_wall_insulation"] + materials_by_type["internal_wall_insulation"]
+                materials=materials_by_type["walls"]
             )
             wall_recomender.recommend()
 
@@ -337,12 +154,8 @@ async def trigger_plan(body: PlanTriggerRequest):
             recommendations[p.id] = property_recommendations
 
             # Finally, we'll prepare data for predicting the impact on SAP
-            # TODO: We should use the cleaned data from get_components in the data rather than the raw
-            #       values. We should create a method in Property which takes the EPC data and inserts the cleaned
-            #       data
-
             data_processor = DataProcessor(None, newdata=True)
-            data_processor.insert_data(pd.DataFrame([p.data.copy()]))
+            data_processor.insert_data(pd.DataFrame([p.get_model_data()]))
             data_processor.pre_process()
 
             starting_epc_data = data_processor.get_component_features(suffix="_STARTING")
@@ -350,10 +163,10 @@ async def trigger_plan(body: PlanTriggerRequest):
             fixed_data = data_processor.get_fixed_features()
 
             # We update the ending record with the recommended updates and we set lodgement date to today
-            ending_epc_data["LODGEMENT_DATE_ENDING"] = created_at
+            ending_epc_data["DAYS_TO_ENDING"] = data_processor.calculate_days_to(created_at)
 
             for recommendations_by_type in property_recommendations:
-                for rec in recommendations_by_type:
+                for i, rec in enumerate(recommendations_by_type):
                     scoring_dict = create_recommendation_scoring_data(
                         property=p,
                         recommendation=rec,
@@ -370,15 +183,6 @@ async def trigger_plan(body: PlanTriggerRequest):
         logger.info("Preparing data for scoring in sap change api")
         recommendations_scoring_data = pd.DataFrame(recommendations_scoring_data)
 
-        # Clean the data
-        logger.info("Reading in cleaning dataset from s3")
-        cleaning_data = read_parquet_from_s3(
-            bucket_name=get_settings().DATA_BUCKET,
-            file_key="sap_change_model/cleaning_dataset.parquet",
-        ).rename(columns={"local-authority": "LOCAL_AUTHORITY"})
-
-        # Merge the cleaning data onto recommendations_scoring_data
-
         # Perform the same cleaning as in the model
         recommendations_scoring_data = DataProcessor.apply_averages_cleaning(
             data_to_clean=recommendations_scoring_data,
@@ -386,6 +190,13 @@ async def trigger_plan(body: PlanTriggerRequest):
             cols_to_merge_on=COLUMNS_TO_MERGE_ON + ["LOCAL_AUTHORITY"]
         ).drop(columns=["LOCAL_AUTHORITY"])
 
+        recommendations_scoring_data = DataProcessor.clean_missings_after_description_process(
+            recommendations_scoring_data, [
+                c for c in recommendations_scoring_data.columns if
+                ("thermal_transmittance" in c) or ("insulation_thickness" in c)
+            ]
+        )
+
         sap_change_model_api = SAPChangeModelAPI(portfolio_id=body.portfolio_id, timestamp=created_at)
         file_location = sap_change_model_api.upload_scoring_data(
             df=recommendations_scoring_data, bucket=get_settings().DATA_BUCKET
@@ -396,14 +207,17 @@ async def trigger_plan(body: PlanTriggerRequest):
 
         # Retrieve the predictions
         predictions = pd.DataFrame(
-            read_csv_from_s3(bucket_name=get_settings().PREDICTIONS_BUCKET, filepath=response["storage_filepath"])
+            read_parquet_from_s3(
+                bucket_name=get_settings().PREDICTIONS_BUCKET,
+                file_key=response["storage_filepath"].split(get_settings().PREDICTIONS_BUCKET + "/")[1]
+            )
         )
 
-        predictions["RDSAP_CHANGE"] = predictions["RDSAP_CHANGE"].astype(float).round(1)
+        predictions["predictions"] = predictions["predictions"].astype(float).round(1)
         predictions[['property_id', 'recommendation_id']] = predictions['id'].str.split('+', expand=True)
 
         # Insert the predictions into the recommendations and run the optimiser
-        logger.info("Storing recommendations")
+        logger.info("Optimising recommendations")
         for property_id in recommendations.keys():
 
             property = [p for p in input_properties if p.id == property_id][0]
@@ -411,9 +225,11 @@ async def trigger_plan(body: PlanTriggerRequest):
 
             for recommendations_by_type in recommendations[property_id]:
                 for rec in recommendations_by_type:
-                    rec["sap_points"] = property_predictions[property_predictions["recommendation_id"] == str(
+                    new_sap = property_predictions[property_predictions["recommendation_id"] == str(
                         rec["recommendation_id"]
-                    )]["RDSAP_CHANGE"].values[0]
+                    )]["predictions"].values[0]
+
+                    rec["sap_points"] = new_sap - float(property.data["current-energy-efficiency"])
 
                     if rec["sap_points"] is None:
                         raise ValueError("Sap points missing")
@@ -451,8 +267,6 @@ async def trigger_plan(body: PlanTriggerRequest):
             final_recommendations = [
                 rec for recommendations_by_type in final_recommendations for rec in recommendations_by_type
             ]
-            # We update recommendations[property_id]
-
             recommendations[property_id] = final_recommendations
 
         # 1) the property data
diff --git a/backend/app/plan/temp_script_for_flight.py b/backend/app/plan/temp_script_for_flight.py
new file mode 100644
index 00000000..9170b4c1
--- /dev/null
+++ b/backend/app/plan/temp_script_for_flight.py
@@ -0,0 +1,176 @@
+from datetime import datetime
+
+import pandas as pd
+from epc_api.client import EpcClient
+from fastapi import APIRouter, Depends
+from sqlalchemy.exc import IntegrityError, OperationalError
+from sqlalchemy.orm import sessionmaker
+from starlette.responses import Response
+
+from backend.app.config import get_settings
+from backend.app.db.connection import db_engine
+from backend.app.db.functions.materials_functions import get_materials
+from backend.app.db.functions.portfolio_functions import aggregate_portfolio_recommendations
+from backend.app.db.functions.property_functions import (
+    create_property, create_property_details_epc, create_property_targets, update_property_data
+)
+from backend.app.db.functions.recommendations_functions import (
+    create_plan, create_plan_recommendations, upload_recommendations
+)
+from backend.app.db.models.portfolio import rating_lookup
+from backend.app.dependencies import validate_token
+from backend.app.plan.schemas import PlanTriggerRequest
+from backend.app.plan.utils import (
+    create_recommendation_scoring_data, filter_materials, get_cleaned, insert_temp_recommendation_id
+)
+from backend.app.utils import epc_to_sap_lower_bound, read_csv_from_s3, read_parquet_from_s3
+
+from backend.ml_models.sap_change_model.api import SAPChangeModelAPI
+from backend.Property import Property
+from etl.epc.DataProcessor import DataProcessor
+from etl.epc.settings import COLUMNS_TO_MERGE_ON
+from recommendations.FloorRecommendations import FloorRecommendations
+from recommendations.optimiser.CostOptimiser import CostOptimiser
+from recommendations.optimiser.GainOptimiser import GainOptimiser
+from recommendations.optimiser.optimiser_functions import prepare_input_measures
+from recommendations.WallRecommendations import WallRecommendations
+from utils.logger import setup_logger
+from utils.s3 import read_dataframe_from_s3_parquet
+
+logger = setup_logger()
+
+import pickle
+
+with open('local_data.pickle', 'rb') as f:
+    local_data = pickle.load(f)
+
+with open("property_dimensions.pickle", "rb") as f:
+    property_dimensions = pickle.load(f)
+
+with open("sap_change_dataset.pickle", "rb") as f:
+    sap_change_dataset = pickle.load(f)
+
+created_at = datetime.now().strftime("%Y-%m-%d-%H-%M-%S")
+
+plan_input = local_data["plan_input"]
+uprn_filenames = local_data["uprn_filenames"]
+local_property_data = local_data["local_property_data"]
+materials = local_data["materials"]
+materials_by_type = filter_materials(materials)
+cleaned = local_data["cleaned"]
+cleaning_data = local_data["cleaning_data"]
+
+# Need to find some proper materials
+materials_by_type["walls"] += [
+    {'id': 4, 'type': 'cavity_wall_insulation', 'description': 'Example Material 1',
+     'depths': None,
+     'depth_unit': None, 'cost': 20,
+     'cost_unit': 'gbp_sq_meter', 'r_value_per_mm': 0.0278, 'r_value_unit': 'square_meter_kelvin_per_watt',
+     'thermal_conductivity': 0.036, 'thermal_conductivity_unit': 'watt_per_meter_kelvin',
+     'link': None, 'created_at': None, 'is_active': True},
+    {'id': 10, 'type': "cavity_wall_insulation", 'description': 'Example Material 2',
+     'depths': None, 'depth_unit': None, 'cost': 25, 'cost_unit': 'gbp_sq_meter',
+     'r_value_per_mm': 0.02631579, 'r_value_unit': 'square_meter_kelvin_per_watt', 'thermal_conductivity': 0.038,
+     'thermal_conductivity_unit': 'watt_per_meter_kelvin',
+     'link': None,
+     'created_at': None, 'is_active': True}
+]
+
+epc_client = EpcClient(auth_token="NO-TOKEN")
+
+input_properties = []
+for i, config in enumerate(plan_input):
+    property_id = local_property_data[i]["id"]
+    input_properties.append(
+        Property(
+            postcode=config['postcode'],
+            address1=config['address'],
+            epc_client=epc_client,
+            id=property_id
+        )
+    )
+
+logger.info("Getting EPC, and spatial data")
+for i, p in enumerate(input_properties):
+    p.data = local_property_data[i]["data"]
+    p.uprn = local_property_data[i]["uprn"]
+    p.id = local_property_data[i]["id"]
+    p.full_sap_epc = local_property_data[i]["full_sap_epc"]
+    p.old_data = local_property_data[i]["old_data"]
+    p.is_listed = False
+    p.in_conservation_area = False
+    p.is_heritage = False
+
+    p.set_year_built()
+
+    # TODO: TESTING
+    p.data['number-habitable-rooms'] = 3
+
+recommendations = {}
+recommendations_scoring_data = []
+
+for p in input_properties:
+    property_recommendations = []
+
+    # Property recommendations
+    p.get_components(cleaned)
+
+    # Floor recommendations
+    floor_recommender = FloorRecommendations(
+        property_instance=p,
+        materials=materials_by_type["floor"],
+    )
+    floor_recommender.recommend()
+
+    if floor_recommender.recommendations:
+        property_recommendations.append(floor_recommender.recommendations)
+
+    # Wall recommendations
+
+    wall_recomender = WallRecommendations(
+        property_instance=p,
+        materials=materials_by_type["walls"]
+    )
+    wall_recomender.recommend()
+
+    if wall_recomender.recommendations:
+        property_recommendations.append(wall_recomender.recommendations)
+
+    # We insert temporary ids into the recommendations which is important for the optimiser later
+    property_recommendations = insert_temp_recommendation_id(property_recommendations)
+
+    if not property_recommendations:
+        continue
+
+    recommendations[p.id] = property_recommendations
+
+    # Finally, we'll prepare data for predicting the impact on SAP
+    # TODO: We should use the cleaned data from get_components in the data rather than the raw
+    #       values. We should create a method in Property which takes the EPC data and inserts the cleaned
+    #       data
+
+    data_processor = DataProcessor(None, newdata=True)
+    data_processor.insert_data(pd.DataFrame([p.data.copy()]))
+    data_processor.pre_process()
+
+    starting_epc_data = data_processor.get_component_features(suffix="_STARTING")
+    ending_epc_data = data_processor.get_component_features(suffix="_ENDING")
+    fixed_data = data_processor.get_fixed_features()
+
+    # We update the ending record with the recommended updates and we set lodgement date to today
+    ending_epc_data["LODGEMENT_DATE_ENDING"] = created_at
+
+    for recommendations_by_type in property_recommendations:
+        for rec in recommendations_by_type:
+            scoring_dict = create_recommendation_scoring_data(
+                property=p,
+                recommendation=rec,
+                starting_epc_data=starting_epc_data,
+                ending_epc_data=ending_epc_data,
+                fixed_data=fixed_data,
+            )
+
+            recommendations_scoring_data.append(scoring_dict)
+
+# cleanup
+del data_processor
diff --git a/backend/app/plan/utils.py b/backend/app/plan/utils.py
new file mode 100644
index 00000000..2e5f204a
--- /dev/null
+++ b/backend/app/plan/utils.py
@@ -0,0 +1,187 @@
+import pandas as pd
+from backend.Property import Property
+from collections import defaultdict
+from utils.s3 import read_from_s3
+
+from recommendations.config import UPGRADES_MAP
+from recommendations.recommendation_utils import get_wall_u_value, get_floor_u_value, get_roof_u_value
+
+from backend.app.db.utils import row2dict
+from backend.app.config import get_settings
+import msgpack
+
+
+def filter_materials(materials):
+    materials_by_type = defaultdict(list)
+
+    mapping = {
+        "walls": ["internal_wall_insulation", "external_wall_insulation", "cavity_wall_insulation"],
+        "floor": ["suspended_floor_insulation", "solid_floor_insulation"]
+    }
+
+    materials = [row2dict(material) for material in materials]
+
+    for component, types in mapping.items():
+        materials_by_type[component] = [part for part in materials if part["type"] in types]
+
+    return dict(materials_by_type)
+
+
+def insert_temp_recommendation_id(property_recommendations):
+    """
+    Creates a temporary recommendation id which is needed for
+    filtering recommendations between default and no, after the optimiser has been
+    run
+    :param property_recommendations:  nested list of recommendations, grouped by data_types
+    :return: Updated recommendations_to_upload, where where recommendation has a "recommendation_id"
+             integer inserted
+    """
+    idx = 0
+
+    for recs in property_recommendations:
+        for rec in recs:
+            rec["recommendation_id"] = idx
+            idx += 1
+
+    return property_recommendations
+
+
+def get_cleaned():
+    """
+    This function will retrieve the cleaned dataset from s3 which has the cleaned
+    descriptions for the epc dataset
+
+    This data is stored in MessagePack format and therefore needs to be decoded
+    :return:
+    """
+
+    cleaned = read_from_s3(
+        s3_file_name="cleaned_epc_data/cleaned.bson",
+        bucket_name="retrofit-data-{environment}".format(environment=get_settings().ENVIRONMENT)
+    )
+
+    cleaned = msgpack.unpackb(cleaned, raw=False)
+
+    return cleaned
+
+
+def create_recommendation_scoring_data(
+    property: Property,
+    recommendation: dict,
+    starting_epc_data: pd.DataFrame,
+    ending_epc_data: pd.DataFrame,
+    fixed_data: pd.DataFrame,
+):
+    """
+    This wrapper function prepares data to be passed to the sap model api
+    :return:
+    """
+
+    scoring_dict = {
+        "UPRN": property.data["uprn"],
+        "id": "+".join([str(property.id), str(recommendation["recommendation_id"])]),
+        "LOCAL_AUTHORITY": property.data["local-authority"],
+        **starting_epc_data.to_dict("records")[0],
+        **ending_epc_data.to_dict("records")[0],
+        **fixed_data.to_dict("records")[0]
+    }
+
+    # Set staring u-values if we don't have them
+    if not scoring_dict["walls_thermal_transmittance"]:
+        scoring_dict["walls_thermal_transmittance"] = get_wall_u_value(
+            clean_description=property.walls["clean_description"],
+            age_band=property.age_band,
+            is_granite_or_whinstone=property.walls["is_granite_or_whinstone"],
+            is_sandstone_or_limestone=property.walls["is_sandstone_or_limestone"]
+        )
+
+    if not scoring_dict["floor_thermal_transmittance"]:
+        scoring_dict["floor_thermal_transmittance"] = get_floor_u_value(
+            floor_type=property.floor_type,
+            area=property.floor_area,
+            perimeter=property.perimeter,
+            wall_type=property.wall_type,
+            insulation_thickness=property.floor["insulation_thickness"],
+            age_band=property.age_band,
+        )
+
+    if not scoring_dict["roof_thermal_transmittance"]:
+        scoring_dict["roof_thermal_transmittance"] = get_roof_u_value(
+            insulation_thickness=property.roof["insulation_thickness"],
+            has_dwelling_above=property.roof["has_dwelling_above"],
+            is_loft=property.roof["is_loft"],
+            is_roof_room=property.roof["is_roof_room"],
+            is_thatched=property.roof["is_thatched"],
+            age_band=property.age_band,
+            is_flat=property.roof["is_flat"],
+            is_pitched=property.roof["is_pitched"],
+            is_at_rafters=property.roof["is_at_rafters"],
+        )
+
+    for col in [
+        "walls_insulation_thickness", "floor_insulation_thickness", "roof_insulation_thickness"
+    ]:
+        if scoring_dict[col] is None:
+            scoring_dict[col] = "none"
+
+    # We update the description to indicate it's insulated
+    if recommendation["type"] == "wall_insulation":
+        # The upgrade made here is to the u-value of the walls and the description of the
+        # insulation thickness
+        scoring_dict["walls_thermal_transmittance_ENDING"] = recommendation["new_u_value"]
+        scoring_dict["walls_insulation_thickness_ENDING"] = "above average"
+    else:
+        if not scoring_dict["walls_thermal_transmittance_ENDING"]:
+            scoring_dict["walls_thermal_transmittance_ENDING"] = get_wall_u_value(
+                clean_description=property.walls["clean_description"],
+                age_band=property.age_band,
+                is_granite_or_whinstone=property.walls["is_granite_or_whinstone"],
+                is_sandstone_or_limestone=property.walls["is_sandstone_or_limestone"]
+            )
+
+        if scoring_dict["walls_insulation_thickness_ENDING"] is None:
+            scoring_dict["walls_insulation_thickness_ENDING"] = "none"
+
+    # Update description to indicate it's insulate
+    if recommendation["type"] == "floor_insulation":
+
+        if len(recommendation["parts"]) > 1:
+            raise NotImplementedError("Have more than 1 floor insulation part - handle this case")
+
+        scoring_dict["floor_thermal_transmittance_ENDING"] = recommendation["new_u_value"]
+        # We don't really see above average for this in the training data
+        scoring_dict["floor_insulation_thickness_ENDING"] = "average"
+    else:
+        if not scoring_dict["floor_thermal_transmittance_ENDING"]:
+            scoring_dict["floor_thermal_transmittance_ENDING"] = get_floor_u_value(
+                floor_type=property.floor_type,
+                area=property.floor_area,
+                perimeter=property.perimeter,
+                wall_type=property.wall_type,
+                insulation_thickness=property.floor["insulation_thickness"],
+                age_band=property.age_band,
+            )
+
+        if scoring_dict["floor_insulation_thickness_ENDING"] is None:
+            scoring_dict["floor_insulation_thickness_ENDING"] = "none"
+
+    if recommendation["type"] not in ["wall_insulation", "floor_insulation"]:
+        raise NotImplementedError("Implement me")
+
+    if not scoring_dict["roof_thermal_transmittance_ENDING"]:
+        scoring_dict["roof_thermal_transmittance_ENDING"] = get_roof_u_value(
+            insulation_thickness=property.roof["insulation_thickness"],
+            has_dwelling_above=property.roof["has_dwelling_above"],
+            is_loft=property.roof["is_loft"],
+            is_roof_room=property.roof["is_roof_room"],
+            is_thatched=property.roof["is_thatched"],
+            age_band=property.age_band,
+            is_flat=property.roof["is_flat"],
+            is_pitched=property.roof["is_pitched"],
+            is_at_rafters=property.roof["is_at_rafters"],
+        )
+
+        if scoring_dict["roof_insulation_thickness_ENDING"] is None:
+            scoring_dict["roof_insulation_thickness_ENDING"] = "none"
+
+    return scoring_dict
diff --git a/backend/app/plan/uvalue_estimates_floors.py b/backend/app/plan/uvalue_estimates_floors.py
deleted file mode 100644
index cba31508..00000000
--- a/backend/app/plan/uvalue_estimates_floors.py
+++ /dev/null
@@ -1,3707 +0,0 @@
-uvalue_estimates_floors = [
-    {'local-authority': 'E09000012', 'property-type': 'Bungalow', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.14, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Bungalow', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.17, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Bungalow', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.09, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.34, 'n_samples': 3},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.35, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.38, 'n_samples': 7},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.43, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.38, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.38, 'n_samples': 7},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.39, 'n_samples': 5},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.43, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.32, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.38, 'n_samples': 3},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.33, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.35, 'n_samples': 24},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.35, 'n_samples': 14},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.31, 'n_samples': 11},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.38, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.35, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.41, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.38, 'n_samples': 5},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': None, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.41500000000000004, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': None, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.39, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.45, 'n_samples': 3},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.44, 'n_samples': 3},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.33, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.44, 'n_samples': 3},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.34, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.33, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.39, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1',
-     'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7',
-     'median_thermal_transmittance': 0.22, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-     'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.25, 'n_samples': 67},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.24, 'n_samples': 25},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.23, 'n_samples': 23},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.24, 'n_samples': 26},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.25, 'n_samples': 24},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.24, 'n_samples': 23},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.25, 'n_samples': 23},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.25, 'n_samples': 11},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.235, 'n_samples': 10},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.26, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.25, 'n_samples': 10},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.29, 'n_samples': 5},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.25, 'n_samples': 5},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.25, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.25, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.24, 'n_samples': 7},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.22999999999999998, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.3, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.24, 'n_samples': 27},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.25, 'n_samples': 11},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.26, 'n_samples': 17},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.24, 'n_samples': 12},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.24, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.25, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.23, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.25, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.26, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.25, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.235, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.25, 'n_samples': 10},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.25, 'n_samples': 7},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.25, 'n_samples': 5},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.26, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.25, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.22, 'n_samples': 9},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.24, 'n_samples': 3},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.24, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.22, 'n_samples': 7},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.22, 'n_samples': 3},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.24, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.215, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-     'median_thermal_transmittance': 0.67, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.55, 'n_samples': 3},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.58, 'n_samples': 5},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.56, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.47, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.56, 'n_samples': 3},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.51, 'n_samples': 3},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.5449999999999999, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.66, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.56, 'n_samples': 3},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.6, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.48, 'n_samples': 5},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.6, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.46, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.58, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.515, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.58, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.625, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.46, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.6, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.6, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.46, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.69, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.64, 'n_samples': 25},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.58, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.7, 'n_samples': 3},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.515, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.57, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.57, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.57, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.67, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.57, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.57, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.08, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.125, 'n_samples': 156},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.13, 'n_samples': 152},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.13, 'n_samples': 193},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.15, 'n_samples': 134},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.13, 'n_samples': 133},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.13, 'n_samples': 117},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.13, 'n_samples': 149},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.13, 'n_samples': 66},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.13, 'n_samples': 50},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.15, 'n_samples': 13},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.18, 'n_samples': 36},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.135, 'n_samples': 10},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.13, 'n_samples': 13},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.1, 'n_samples': 26},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.13, 'n_samples': 9},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.1, 'n_samples': 24},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.1, 'n_samples': 21},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.095, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.10500000000000001, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.11, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.18, 'n_samples': 103},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.135, 'n_samples': 88},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.14, 'n_samples': 73},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.12, 'n_samples': 60},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.135, 'n_samples': 40},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.12, 'n_samples': 39},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.14, 'n_samples': 29},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.11, 'n_samples': 29},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.17, 'n_samples': 12},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.1, 'n_samples': 10},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.15, 'n_samples': 12},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.12, 'n_samples': 17},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.15, 'n_samples': 42},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.14500000000000002, 'n_samples': 63},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.15, 'n_samples': 43},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.16, 'n_samples': 19},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.15, 'n_samples': 48},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.14, 'n_samples': 13},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.15, 'n_samples': 13},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.15, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.14,
-     'n_samples': 19}, {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                        'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2',
-                        'median_thermal_transmittance': 0.12, 'n_samples': 20},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.125,
-     'n_samples': 20}, {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                        'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                        'median_thermal_transmittance': 0.12, 'n_samples': 21},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.125,
-     'n_samples': 12}, {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                        'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                        'median_thermal_transmittance': 0.13, 'n_samples': 23},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.125,
-     'n_samples': 20}, {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                        'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-                        'median_thermal_transmittance': 0.12, 'n_samples': 18},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.14,
-     'n_samples': 3}, {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                       'median_thermal_transmittance': 0.18, 'n_samples': 3},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.945, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 1.73, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.98, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 1.73, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.78, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.99, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.74, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.72, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 1.05, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 1.04, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.2, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 1.2, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.74, 'n_samples': 7},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 1.2, 'n_samples': 196},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.78, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.78, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Average',
-     'floor-env-eff': 'Average', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.35, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Average',
-     'floor-env-eff': 'Average', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.33, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.2, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.21, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.29, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.21, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.29, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.265, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.23, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.24, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.21, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.47, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.5, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.5, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.68, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.15, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.14, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.155, 'n_samples': 12},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.165, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.14, 'n_samples': 10},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.15, 'n_samples': 20},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.14, 'n_samples': 10},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.15, 'n_samples': 28},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.18,
-     'n_samples': 4}, {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7',
-                       'median_thermal_transmittance': 0.19, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.18,
-     'n_samples': 2}, {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                       'median_thermal_transmittance': 0.18, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.14,
-     'n_samples': 2}, {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9',
-                       'median_thermal_transmittance': 0.14, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.14, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.1, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.18, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.11, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.135, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.13, 'n_samples': 10},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.13, 'n_samples': 52},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.13, 'n_samples': 32},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.14500000000000002, 'n_samples': 28},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.13, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.115, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.13, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.11, 'n_samples': 10},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.11, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.14, 'n_samples': 60},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.14, 'n_samples': 78},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.125, 'n_samples': 72},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.18, 'n_samples': 90},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.11, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.11, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.11, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.12, 'n_samples': 32},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.12, 'n_samples': 104},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.11,
-     'n_samples': 2}, {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3',
-                       'median_thermal_transmittance': 0.11, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.19,
-     'n_samples': 2}, {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                       'median_thermal_transmittance': 0.15, 'n_samples': 12},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.15,
-     'n_samples': 12}, {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-                        'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-                        'median_thermal_transmittance': 0.14, 'n_samples': 14},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.155,
-     'n_samples': 16}, {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-                        'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                        'median_thermal_transmittance': 0.15, 'n_samples': 22},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.02, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Average',
-     'floor-env-eff': 'Average', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.34, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Average',
-     'floor-env-eff': 'Average', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.43, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Average',
-     'floor-env-eff': 'Average', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.43, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Average',
-     'floor-env-eff': 'Average', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.43, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Average',
-     'floor-env-eff': 'Average', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.4, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Average',
-     'floor-env-eff': 'Average', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.31, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-     'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.235, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.23, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.22, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.225, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.22, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.215, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.22999999999999998, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.24, 'n_samples': 10},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.25, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.24, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.3, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.255, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.235, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.26, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.24, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.23, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.25, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.21, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.21, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.21, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.47, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.55, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.56, 'n_samples': 22},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.08, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.14, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.175, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.18, 'n_samples': 10},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.15, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.15, 'n_samples': 12},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.15, 'n_samples': 42},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.14500000000000002, 'n_samples': 48},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.13, 'n_samples': 42},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.16, 'n_samples': 122},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.12, 'n_samples': 18},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.2, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.1, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.09, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.15, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.135, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.165, 'n_samples': 12},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.1, 'n_samples': 26},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.15, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.14, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.09, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.13, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.11, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.12, 'n_samples': 16},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.2, 'n_samples': 34},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.11, 'n_samples': 24},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.17, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.16499999999999998, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.16499999999999998, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.18, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.15, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.18, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.15, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.15, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.11, 'n_samples': 14},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.19, 'n_samples': 10},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.13,
-     'n_samples': 2}, {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Poor',
-                       'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7',
-                       'median_thermal_transmittance': 1.2, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.76, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.86, 'n_samples': 8},
-    {'local-authority': 'E09000013', 'property-type': 'Bungalow', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Bungalow', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.14, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Bungalow', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.15, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Bungalow', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.15, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Bungalow', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.15, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Bungalow', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.15, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Bungalow', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.15,
-     'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.35, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.44, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.36, 'n_samples': 3},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.36, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.32999999999999996, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.31, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.42, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.33, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.32, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.4, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.32, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.31, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': None, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.4, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.355, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.38, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.39, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.42, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.38, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9',
-     'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.24, 'n_samples': 32},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.22499999999999998, 'n_samples': 8},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.24, 'n_samples': 9},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.22, 'n_samples': 8},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.24, 'n_samples': 5},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.25, 'n_samples': 8},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.25, 'n_samples': 12},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.22999999999999998, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.23, 'n_samples': 11},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.21, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.29, 'n_samples': 3},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.25, 'n_samples': 7},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.25, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.24, 'n_samples': 3},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.23, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.25, 'n_samples': 3},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.22, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.22, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.255, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.26, 'n_samples': 12},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.23, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.3, 'n_samples': 3},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.25, 'n_samples': 3},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.25, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.22, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.235, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.25, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': None, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.26, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.3, 'n_samples': 3},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.21, 'n_samples': 3},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.22, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.25, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.25, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.25, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.25, 'n_samples': 7},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.28500000000000003, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.27, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.28, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.3, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.52, 'n_samples': 3},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.59, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.56, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.66, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.575, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.46, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.46, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.67, 'n_samples': 9},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': None, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.66, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.59, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.2, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.16, 'n_samples': 99},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.13, 'n_samples': 50},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.14, 'n_samples': 56},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.135, 'n_samples': 36},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.12, 'n_samples': 36},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.16, 'n_samples': 43},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.125, 'n_samples': 38},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.125, 'n_samples': 18},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.12, 'n_samples': 17},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.17, 'n_samples': 13},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.15,
-     'n_samples': 1}, {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5',
-                       'median_thermal_transmittance': 0.175, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.195,
-     'n_samples': 2}, {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7',
-                       'median_thermal_transmittance': 0.15, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.16, 'n_samples': 7},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.115, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.15, 'n_samples': 13},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.15, 'n_samples': 7},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.14, 'n_samples': 14},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.13, 'n_samples': 9},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.13, 'n_samples': 5},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.13, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.11, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.19, 'n_samples': 26},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.15, 'n_samples': 37},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.15, 'n_samples': 33},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.14, 'n_samples': 13},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.14, 'n_samples': 13},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.2, 'n_samples': 22},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.2, 'n_samples': 16},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.19, 'n_samples': 7},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.11, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.16, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.14, 'n_samples': 16},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.15, 'n_samples': 11},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.14, 'n_samples': 18},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.14, 'n_samples': 10},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.19, 'n_samples': 28},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.15, 'n_samples': 12},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.2, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.19, 'n_samples': 18},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.15,
-     'n_samples': 36}, {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                        'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2',
-                        'median_thermal_transmittance': 0.15, 'n_samples': 7},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.15,
-     'n_samples': 13}, {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                        'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                        'median_thermal_transmittance': 0.15, 'n_samples': 17},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.15,
-     'n_samples': 10}, {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                        'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                        'median_thermal_transmittance': 0.15, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.15,
-     'n_samples': 8}, {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-                       'median_thermal_transmittance': 0.16, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.15,
-     'n_samples': 2}, {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-                       'floor-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3',
-                       'median_thermal_transmittance': 0.975, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': None, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 1.78, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 1.2, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 1.78, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Average',
-     'floor-env-eff': 'Average', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.36, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Average',
-     'floor-env-eff': 'Average', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.4, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Average',
-     'floor-env-eff': 'Average', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.32, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.21, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.23, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.24, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.23, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.25, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.21, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.25, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.22, 'n_samples': 24},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.22, 'n_samples': 12},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.23, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.46, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.49, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.47, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.13, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.13, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.12, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.14500000000000002, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.2, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.15000000000000002, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.135, 'n_samples': 12},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.15, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.1, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.14, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.14, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.15, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.13, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.13, 'n_samples': 42},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.19, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.15, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.14, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.15, 'n_samples': 8},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.16, 'n_samples': 10},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.12, 'n_samples': 18},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.12, 'n_samples': 80},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.13, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.15, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.15, 'n_samples': 22},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.15, 'n_samples': 60},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.13,
-     'n_samples': 2}, {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                       'median_thermal_transmittance': 0.15, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.14,
-     'n_samples': 8}, {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-                       'median_thermal_transmittance': 0.155, 'n_samples': 8},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-     'median_thermal_transmittance': 0.14500000000000002, 'n_samples': 26},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.2, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Average',
-     'floor-env-eff': 'Average', 'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.42, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Average',
-     'floor-env-eff': 'Average', 'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.42, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Average',
-     'floor-env-eff': 'Average', 'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.36, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Average',
-     'floor-env-eff': 'Average', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.36, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.28, 'n_samples': 20},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.21, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.23, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3',
-     'median_thermal_transmittance': 0.5700000000000001, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-     'median_thermal_transmittance': 0.48, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.52, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.57, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.46, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.2, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.16499999999999998, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.165, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.13, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.09, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.115, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.09, 'n_samples': 14},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.09, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.19, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.19, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.2, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.19, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.17, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.2, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.12, 'n_samples': 12},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.14, 'n_samples': 10},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.11, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.13, 'n_samples': 16},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.11, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.16,
-     'n_samples': 6}, {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                       'median_thermal_transmittance': 0.12, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.13,
-     'n_samples': 2}, {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9',
-                       'median_thermal_transmittance': 0.12, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'Bungalow', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Bungalow', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.16, 'n_samples': 12},
-    {'local-authority': 'E09000014', 'property-type': 'Bungalow', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.12, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Bungalow', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.14, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Bungalow', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.17, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Bungalow', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.19, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Bungalow', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.19, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Bungalow', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.14, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Bungalow', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.11, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Bungalow', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.12,
-     'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.37, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.395, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.43, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.42, 'n_samples': 3},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.4, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.35, 'n_samples': 5},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.43, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.38, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.39, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.36, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.38, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.34, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.35, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.34, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.34, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.32, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.22, 'n_samples': 26},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.235, 'n_samples': 16},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.24, 'n_samples': 7},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.26, 'n_samples': 12},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.23, 'n_samples': 9},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.25, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.265, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.3, 'n_samples': 3},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.25, 'n_samples': 7},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.22, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.21, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.21, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.25, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.22, 'n_samples': 3},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.21, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.21, 'n_samples': 7},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.21, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.21, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.21, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.21, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.27, 'n_samples': 10},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.21, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.24, 'n_samples': 7},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.21, 'n_samples': 5},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.21, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.25, 'n_samples': 3},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.21, 'n_samples': 3},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.21, 'n_samples': 3},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.21, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.21, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.26, 'n_samples': 9},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': None, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.25, 'n_samples': 5},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.25, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.29, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': None, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.26, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.26, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.25, 'n_samples': 5},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.24, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.25, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.23, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.24, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.25, 'n_samples': 5},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.22, 'n_samples': 8},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.22, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.7, 'n_samples': 33},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.5, 'n_samples': 7},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.6, 'n_samples': 5},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.535, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.7, 'n_samples': 3},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.7, 'n_samples': 3},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.5, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.55, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.64, 'n_samples': 3},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.56, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': None, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.46, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.59, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.7, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.13, 'n_samples': 83},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.12, 'n_samples': 43},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.12, 'n_samples': 53},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.12, 'n_samples': 124},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.13, 'n_samples': 52},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.13, 'n_samples': 54},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.14, 'n_samples': 55},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.13, 'n_samples': 43},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.13, 'n_samples': 24},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.2, 'n_samples': 8},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.18,
-     'n_samples': 3}, {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1',
-                       'median_thermal_transmittance': 0.15, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.18, 'n_samples': 5},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.14, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.16, 'n_samples': 9},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.15, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.16499999999999998, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.15, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.08, 'n_samples': 5},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.14500000000000002, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.16499999999999998, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.15, 'n_samples': 42},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.15, 'n_samples': 9},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.15, 'n_samples': 11},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.15, 'n_samples': 29},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.15, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.15, 'n_samples': 10},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.14500000000000002, 'n_samples': 10},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.15, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.17, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.16, 'n_samples': 5},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.16, 'n_samples': 10},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.13, 'n_samples': 11},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.11, 'n_samples': 9},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.1, 'n_samples': 3},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.13, 'n_samples': 7},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.18, 'n_samples': 3},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.12, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.12, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.12,
-     'n_samples': 19}, {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                        'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2',
-                        'median_thermal_transmittance': 0.12000000000000001, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3',
-     'median_thermal_transmittance': 0.14500000000000002, 'n_samples': 8},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.12,
-     'n_samples': 13}, {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                        'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                        'median_thermal_transmittance': 0.16, 'n_samples': 11},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.12,
-     'n_samples': 10}, {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                        'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-                        'median_thermal_transmittance': 0.11, 'n_samples': 10},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.11,
-     'n_samples': 2}, {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-                       'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1',
-                       'median_thermal_transmittance': 1.2, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 1.2, 'n_samples': 3},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 1.39, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 1.84, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.2, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.2, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 1.2, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 1.2, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.2, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 1.2,
-     'n_samples': 1}, {'local-authority': 'E09000014', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-                       'floor-env-eff': 'Very Poor', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5',
-                       'median_thermal_transmittance': 1.2, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Average',
-     'floor-env-eff': 'Average', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.32, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.25, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.23, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.21, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.21, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.21, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.26, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.24, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.26, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.21, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.24, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.26, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.25, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.23, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.25, 'n_samples': 16},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.6, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.54, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.51, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.19, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.16, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.13, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.125, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.12, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.11, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.12, 'n_samples': 22},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.15, 'n_samples': 106},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.15, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.11, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.12, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.15, 'n_samples': 14},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.13, 'n_samples': 8},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.12, 'n_samples': 24},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.13, 'n_samples': 28},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.18, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.15, 'n_samples': 8},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.11, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.14, 'n_samples': 10},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.11, 'n_samples': 20},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.15, 'n_samples': 24},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.15, 'n_samples': 62},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.18, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.175, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.14, 'n_samples': 40},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.12, 'n_samples': 10},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.15,
-     'n_samples': 4}, {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                       'median_thermal_transmittance': 0.14, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.13,
-     'n_samples': 10}, {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-                        'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-                        'median_thermal_transmittance': 0.12, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.13,
-     'n_samples': 24}, {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-                        'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                        'median_thermal_transmittance': 0.15, 'n_samples': 52},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 1.1,
-     'n_samples': 2}, {'local-authority': 'E09000014', 'property-type': 'House', 'floor-energy-eff': 'Very Poor',
-                       'floor-env-eff': 'Very Poor', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                       'median_thermal_transmittance': 0.87, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Average',
-     'floor-env-eff': 'Average', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.34, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Average',
-     'floor-env-eff': 'Average', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.4, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Average',
-     'floor-env-eff': 'Average', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.43, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.3, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.25, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.3, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.29, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.265, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.25, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.245, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.21, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.29, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.29, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.2, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.7, 'n_samples': 26},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.7, 'n_samples': 8},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.7, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.665, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.14500000000000002, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.15, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.11, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.11, 'n_samples': 10},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.15, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.16, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.15, 'n_samples': 14},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.2, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.15, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.15, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.15, 'n_samples': 16},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.09, 'n_samples': 10},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.15, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.2, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.2, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.2, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.155, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.18, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.12, 'n_samples': 18},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.07,
-     'n_samples': 6}, {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7',
-                       'median_thermal_transmittance': 0.095, 'n_samples': 8},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.16,
-     'n_samples': 6}, {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Poor',
-                       'floor-env-eff': 'Very Poor', 'built-form': '', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9',
-                       'median_thermal_transmittance': 0.72, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 1.2, 'n_samples': 68},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.74, 'n_samples': 64},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.72, 'n_samples': 24},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 1.13, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Bungalow', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.48, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.38, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.38, 'n_samples': 6},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.43, 'n_samples': 6},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.37, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.44, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.45, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.4, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.34, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.33, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.39, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.44, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.25, 'n_samples': 10},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.25, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.25, 'n_samples': 15},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.25, 'n_samples': 19},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.25, 'n_samples': 11},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.25, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.25, 'n_samples': 6},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.25, 'n_samples': 18},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.25, 'n_samples': 11},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.25, 'n_samples': 5},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.25, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.25, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.25, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.25, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.23, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.22, 'n_samples': 6},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.22, 'n_samples': 3},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.22, 'n_samples': 3},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.25, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.22999999999999998, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.25, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.21, 'n_samples': 3},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.21, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.25, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.22, 'n_samples': 3},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.21, 'n_samples': 5},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.28, 'n_samples': 3},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.25, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.25, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.28, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.28, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.21, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.25, 'n_samples': 3},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.25, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.25, 'n_samples': 17},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.25, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.25, 'n_samples': 11},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.25, 'n_samples': 6},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.25, 'n_samples': 12},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.25, 'n_samples': 11},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.25, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.25, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.225, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.25, 'n_samples': 3},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.25, 'n_samples': 3},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.25, 'n_samples': 7},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.21, 'n_samples': 14},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.21, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.25, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.62, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.65, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.63, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.56, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.7, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.6, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.61, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.13, 'n_samples': 52},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.13, 'n_samples': 85},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.14, 'n_samples': 100},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.14, 'n_samples': 118},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.13, 'n_samples': 86},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.12, 'n_samples': 117},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.13, 'n_samples': 69},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.13, 'n_samples': 75},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.14, 'n_samples': 30},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.135, 'n_samples': 10},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.08,
-     'n_samples': 1}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2',
-                       'median_thermal_transmittance': 0.14, 'n_samples': 17},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.1,
-     'n_samples': 11}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                        'floor-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace',
-                        'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                        'median_thermal_transmittance': 0.15, 'n_samples': 11},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.15,
-     'n_samples': 3}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                       'median_thermal_transmittance': 0.15, 'n_samples': 7},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.1,
-     'n_samples': 9}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-                       'median_thermal_transmittance': 0.125, 'n_samples': 18},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.135,
-     'n_samples': 8}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                       'median_thermal_transmittance': 0.125, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.18,
-     'n_samples': 4}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2',
-                       'median_thermal_transmittance': 0.155, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.19,
-     'n_samples': 3}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                       'median_thermal_transmittance': 0.15, 'n_samples': 6},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.1,
-     'n_samples': 2}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                       'median_thermal_transmittance': 0.155, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.14,
-     'n_samples': 2}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-                       'median_thermal_transmittance': 0.13, 'n_samples': 3},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.175, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.2, 'n_samples': 6},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.1, 'n_samples': 12},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.1, 'n_samples': 9},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.14, 'n_samples': 12},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.07, 'n_samples': 9},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.08, 'n_samples': 15},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.12, 'n_samples': 9},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.12, 'n_samples': 10},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.14, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.13, 'n_samples': 23},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.12, 'n_samples': 132},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.1, 'n_samples': 33},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.12, 'n_samples': 48},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.08, 'n_samples': 34},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.12, 'n_samples': 27},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.1, 'n_samples': 39},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.11, 'n_samples': 17},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.15, 'n_samples': 32},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.15, 'n_samples': 5},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.15000000000000002, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.14, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.15, 'n_samples': 32},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.18, 'n_samples': 42},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.13, 'n_samples': 42},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.13, 'n_samples': 28},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.13, 'n_samples': 34},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.125, 'n_samples': 20},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.135, 'n_samples': 10},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.18, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.185,
-     'n_samples': 14}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                        'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2',
-                        'median_thermal_transmittance': 0.15, 'n_samples': 50},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.15,
-     'n_samples': 31}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                        'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                        'median_thermal_transmittance': 0.16, 'n_samples': 25},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.15,
-     'n_samples': 27}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                        'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                        'median_thermal_transmittance': 0.11, 'n_samples': 19},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.15,
-     'n_samples': 23}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                        'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-                        'median_thermal_transmittance': 0.14, 'n_samples': 31},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.12,
-     'n_samples': 2}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                       'median_thermal_transmittance': 0.18, 'n_samples': 5},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.0, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 1.0, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.86, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 1.0, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 1.2, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.94, 'n_samples': 17},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.94, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 1.09, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.75, 'n_samples': 12},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 1.09, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 1.3, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 1.27, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 1.2, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 1.2, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.2, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Average',
-     'floor-env-eff': 'Average', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.41, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.23, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.22, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.3, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.2, 'n_samples': 10},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.2, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.24, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.24, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.24, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.21, 'n_samples': 16},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.21, 'n_samples': 10},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.49, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.49, 'n_samples': 10},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.16, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.14, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.12, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.14, 'n_samples': 6},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.19, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.15, 'n_samples': 6},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.16,
-     'n_samples': 8}, {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                       'median_thermal_transmittance': 0.16, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.15, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.14, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.115, 'n_samples': 12},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.12, 'n_samples': 30},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.13, 'n_samples': 32},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.18, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.11, 'n_samples': 6},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.05, 'n_samples': 60},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.135, 'n_samples': 56},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.13, 'n_samples': 62},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.12, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.15, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.18, 'n_samples': 6},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.125, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.18, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': None,
-     'n_samples': 2}, {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                       'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.12,
-     'n_samples': 10}, {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-                        'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9',
-                        'median_thermal_transmittance': 0.12, 'n_samples': 12},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.14,
-     'n_samples': 2}, {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Poor',
-                       'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                       'median_thermal_transmittance': 0.75, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.26, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.1, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-     'median_thermal_transmittance': 1.0050000000000001, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.23, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.23, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.2, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.235, 'n_samples': 12},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.21, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.22, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.24, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.15, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.13, 'n_samples': 18},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.13, 'n_samples': 34},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.13, 'n_samples': 32},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.13, 'n_samples': 38},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.15, 'n_samples': 54},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.15, 'n_samples': 6},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.2,
-     'n_samples': 4}, {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9',
-                       'median_thermal_transmittance': 0.2, 'n_samples': 6},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.2,
-     'n_samples': 2}, {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                       'median_thermal_transmittance': 0.2, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.17,
-     'n_samples': 2}, {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-                       'median_thermal_transmittance': 0.13, 'n_samples': 6},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.2,
-     'n_samples': 2}, {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                       'median_thermal_transmittance': 0.11, 'n_samples': 10},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.2, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.2, 'n_samples': 6},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.2, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.11, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.15, 'n_samples': 28},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.14, 'n_samples': 6},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.14, 'n_samples': 6},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.2, 'n_samples': 12},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.2, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.15, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.13, 'n_samples': 38},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.13, 'n_samples': 60},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.13, 'n_samples': 24},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.15, 'n_samples': 26},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.13, 'n_samples': 44},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.15, 'n_samples': 54},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.15, 'n_samples': 20},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.11,
-     'n_samples': 10}, {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-                        'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                        'median_thermal_transmittance': 0.15, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.2,
-     'n_samples': 2}, {'local-authority': 'E09000030', 'property-type': 'Bungalow', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1',
-                       'median_thermal_transmittance': 0.13, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.33, 'n_samples': 3},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.33, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.39, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.31, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.37, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.37, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.34, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.37, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Average', 'floor-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.33, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.25, 'n_samples': 21},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.25, 'n_samples': 9},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.21, 'n_samples': 19},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.22999999999999998, 'n_samples': 12},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.21, 'n_samples': 5},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.215, 'n_samples': 14},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.24, 'n_samples': 11},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.22, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.24, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.245, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.235, 'n_samples': 6},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.21, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.28, 'n_samples': 3},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.24, 'n_samples': 5},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.24, 'n_samples': 3},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.235, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.22, 'n_samples': 13},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.24, 'n_samples': 11},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.225, 'n_samples': 6},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.24, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.22, 'n_samples': 3},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.22, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.22, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.22, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.22, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.235, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.22, 'n_samples': 3},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.235, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.21, 'n_samples': 7},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.21, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.23, 'n_samples': 5},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.22999999999999998, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.26, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.6, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.47, 'n_samples': 6},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.49, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.47, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.53, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.7, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.51, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.51, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.55, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.51, 'n_samples': 8},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.12, 'n_samples': 156},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.12, 'n_samples': 127},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.13, 'n_samples': 144},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.12, 'n_samples': 124},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.1, 'n_samples': 112},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.12, 'n_samples': 62},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.13, 'n_samples': 94},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.11, 'n_samples': 45},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.1, 'n_samples': 19},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.13, 'n_samples': 3},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.15,
-     'n_samples': 1}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3',
-                       'median_thermal_transmittance': 0.09, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.17,
-     'n_samples': 3}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7',
-                       'median_thermal_transmittance': 0.1, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.15,
-     'n_samples': 2}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2',
-                       'median_thermal_transmittance': 0.15, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.15,
-     'n_samples': 6}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                       'median_thermal_transmittance': 0.15, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.15,
-     'n_samples': 2}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7',
-                       'median_thermal_transmittance': 0.15, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.15,
-     'n_samples': 1}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1',
-                       'median_thermal_transmittance': 0.15, 'n_samples': 22},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.15, 'n_samples': 8},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.15, 'n_samples': 22},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.08, 'n_samples': 28},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.15, 'n_samples': 22},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.11, 'n_samples': 17},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.1, 'n_samples': 29},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.12, 'n_samples': 17},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.135, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.15, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.13, 'n_samples': 53},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.13, 'n_samples': 68},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.1, 'n_samples': 26},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.13, 'n_samples': 41},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.13, 'n_samples': 33},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.15, 'n_samples': 23},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.11, 'n_samples': 37},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.15, 'n_samples': 12},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.13, 'n_samples': 12},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.165, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.2, 'n_samples': 17},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.16, 'n_samples': 38},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.15, 'n_samples': 11},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.15, 'n_samples': 26},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.15, 'n_samples': 13},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.16, 'n_samples': 13},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.13, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.18, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.17,
-     'n_samples': 17}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                        'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2',
-                        'median_thermal_transmittance': 0.17, 'n_samples': 11},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.17,
-     'n_samples': 9}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                       'median_thermal_transmittance': 0.19, 'n_samples': 6},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.12,
-     'n_samples': 7}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                       'median_thermal_transmittance': 0.15, 'n_samples': 12},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.14,
-     'n_samples': 6}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-                       'median_thermal_transmittance': 0.11, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.11,
-     'n_samples': 11}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Good',
-                        'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                        'median_thermal_transmittance': 0.1, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.2, 'n_samples': 17},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 1.2, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.8, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 1.2, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 1.2, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 1.2, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.74, 'n_samples': 5},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'floor-energy-eff': 'Very Poor',
-     'floor-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 1.2, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.28, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.23, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.21, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.21, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.25, 'n_samples': 6},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.23, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.25, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.15, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.11, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.11, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.13, 'n_samples': 6},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.12, 'n_samples': 6},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.12, 'n_samples': 14},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.11, 'n_samples': 18},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.12, 'n_samples': 10},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.16, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.12, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.12, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.13, 'n_samples': 26},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.13, 'n_samples': 34},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.15, 'n_samples': 8},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.1, 'n_samples': 10},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.2, 'n_samples': 6},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.12, 'n_samples': 20},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.12, 'n_samples': 18},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.16,
-     'n_samples': 2}, {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3',
-                       'median_thermal_transmittance': 0.12, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.17,
-     'n_samples': 2}, {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7',
-                       'median_thermal_transmittance': 0.16, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.2,
-     'n_samples': 8}, {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-                       'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9',
-                       'median_thermal_transmittance': 0.19, 'n_samples': 24},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.15,
-     'n_samples': 14}, {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Average',
-                        'floor-env-eff': 'Average', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                        'median_thermal_transmittance': 0.33, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.25, 'n_samples': 10},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.25, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.23, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.24, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.22, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Good', 'floor-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.25, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Poor', 'floor-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.7, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.19, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.19, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.155, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.18, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.18, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.18, 'n_samples': 6},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.1, 'n_samples': 34},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.18, 'n_samples': 22},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.15, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.15, 'n_samples': 8},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.15, 'n_samples': 10},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.2, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.165, 'n_samples': 16},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.17, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.15, 'n_samples': 6},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.15, 'n_samples': 6},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.15, 'n_samples': 30},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.16, 'n_samples': 28},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.16, 'n_samples': 12},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'floor-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.15,
-     'n_samples': 2}
-]
diff --git a/backend/app/plan/uvalue_estimates_walls.py b/backend/app/plan/uvalue_estimates_walls.py
deleted file mode 100644
index edf114ce..00000000
--- a/backend/app/plan/uvalue_estimates_walls.py
+++ /dev/null
@@ -1,4003 +0,0 @@
-uvalue_estimates_walls = [
-    {'local-authority': 'E09000012', 'property-type': 'Bungalow', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.27, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Bungalow', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.15, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Bungalow', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.24, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1',
-     'median_thermal_transmittance': 0.71, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2',
-     'median_thermal_transmittance': 0.8, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3',
-     'median_thermal_transmittance': 0.71, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-     'median_thermal_transmittance': 0.96, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5',
-     'median_thermal_transmittance': 0.73, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-     'median_thermal_transmittance': 0.98, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9',
-     'median_thermal_transmittance': 0.95, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.85, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.9, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.85, 'n_samples': 3},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.865, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.825, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.87, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.745, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.78, 'n_samples': 3},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.83, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.62, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.78, 'n_samples': 21},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 1.0, 'n_samples': 12},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 1.0, 'n_samples': 129},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 1.0, 'n_samples': 93},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 1.0, 'n_samples': 26},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.84, 'n_samples': 55},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 1.0, 'n_samples': 94},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 1.0, 'n_samples': 57},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 1.0, 'n_samples': 49},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.0, 'n_samples': 29},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.93, 'n_samples': 24},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.97, 'n_samples': 3},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.62, 'n_samples': 7},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.68, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.88, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1',
-     'median_thermal_transmittance': 0.38, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3',
-     'median_thermal_transmittance': 0.44999999999999996, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5',
-     'median_thermal_transmittance': 0.57, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-     'median_thermal_transmittance': 0.49, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-     'median_thermal_transmittance': 0.43, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.31, 'n_samples': 79},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.31, 'n_samples': 31},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.31, 'n_samples': 33},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.34, 'n_samples': 23},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.31, 'n_samples': 48},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.315, 'n_samples': 16},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.3, 'n_samples': 17},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.33, 'n_samples': 28},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.37, 'n_samples': 19},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.32, 'n_samples': 19},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.38, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.5, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.39, 'n_samples': 17},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.33, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.31, 'n_samples': 5},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.57, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.34, 'n_samples': 103},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.48, 'n_samples': 54},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.42, 'n_samples': 28},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.37, 'n_samples': 20},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.34, 'n_samples': 20},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.355, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.345, 'n_samples': 16},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.35, 'n_samples': 9},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.32, 'n_samples': 7},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.39, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': None, 'n_samples': 3},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.32, 'n_samples': 7},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': None, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.33, 'n_samples': 7},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.345, 'n_samples': 10},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.5, 'n_samples': 17},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.3, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.305, 'n_samples': 7},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.3, 'n_samples': 18},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.43, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.54, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.41, 'n_samples': 10},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.47, 'n_samples': 23},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.34, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.42, 'n_samples': 14},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.31, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.31, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-     'median_thermal_transmittance': 1.07, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-     'median_thermal_transmittance': 1.19, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.55, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 1.06, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 1.255, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 1.09, 'n_samples': 25},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 1.42, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 1.06, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 1.26, 'n_samples': 3},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.55, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 1.21, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.43, 'n_samples': 3},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 1.51, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 1.51, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 1.28, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.4, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.35, 'n_samples': 287},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 1.35, 'n_samples': 110},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 1.35, 'n_samples': 84},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 1.35, 'n_samples': 74},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 1.38, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 1.35, 'n_samples': 48},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 1.35, 'n_samples': 48},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 1.35, 'n_samples': 49},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.35, 'n_samples': 14},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': None, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 1.13, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 1.32, 'n_samples': 20},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 1.49, 'n_samples': 62},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 1.33, 'n_samples': 61},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 1.45, 'n_samples': 25},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.51, 'n_samples': 14},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 1.51, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 1.51, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 1.51, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 1.51, 'n_samples': 3},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 1.01, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 1.2850000000000001, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.36, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.21, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.23, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.24, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.24, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.18, 'n_samples': 577},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.19, 'n_samples': 649},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.18, 'n_samples': 541},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.19, 'n_samples': 567},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.19, 'n_samples': 548},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.18, 'n_samples': 689},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.18, 'n_samples': 695},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.18, 'n_samples': 578},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.19, 'n_samples': 463},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.18, 'n_samples': 218},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.22,
-     'n_samples': 4}, {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                       'median_thermal_transmittance': 0.16, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.22,
-     'n_samples': 2}, {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1',
-                       'median_thermal_transmittance': 0.22, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.19,
-     'n_samples': 1}, {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1',
-                       'median_thermal_transmittance': 0.2, 'n_samples': 116},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.18, 'n_samples': 45},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.17, 'n_samples': 44},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.18, 'n_samples': 67},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.16, 'n_samples': 130},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.18, 'n_samples': 89},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.165, 'n_samples': 92},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.16, 'n_samples': 158},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.16, 'n_samples': 136},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.17, 'n_samples': 52},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.19, 'n_samples': 249},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.17, 'n_samples': 369},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.17, 'n_samples': 179},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.17, 'n_samples': 145},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.17, 'n_samples': 199},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.18, 'n_samples': 191},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.18, 'n_samples': 162},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.17, 'n_samples': 107},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.17, 'n_samples': 106},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.22, 'n_samples': 41},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.22, 'n_samples': 15},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.2, 'n_samples': 67},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.24, 'n_samples': 66},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.21, 'n_samples': 158},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.21, 'n_samples': 185},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.21, 'n_samples': 142},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.22, 'n_samples': 166},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.22, 'n_samples': 168},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.21, 'n_samples': 111},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.2, 'n_samples': 65},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.19,
-     'n_samples': 70}, {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2',
-                        'median_thermal_transmittance': 0.22, 'n_samples': 93},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.21,
-     'n_samples': 39}, {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                        'median_thermal_transmittance': 0.18, 'n_samples': 58},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.21,
-     'n_samples': 47}, {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                        'median_thermal_transmittance': 0.21, 'n_samples': 86},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.18,
-     'n_samples': 48}, {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-                        'median_thermal_transmittance': 0.18, 'n_samples': 69},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.22,
-     'n_samples': 63}, {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                        'median_thermal_transmittance': 0.18, 'n_samples': 59},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.72, 'n_samples': 5},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 1.81, 'n_samples': 3},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 1.96, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 1.67, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 1.96, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.65, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 2.1,
-     'n_samples': 1}, {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-                       'walls-env-eff': 'Very Poor', 'built-form': 'End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3',
-                       'median_thermal_transmittance': 2.0, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 1.62, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.91, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 1.7, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 1.7, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 2.045, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 2.02, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 1.76, 'n_samples': 1},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.74, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 2.2350000000000003, 'n_samples': 64},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 2.0, 'n_samples': 100},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 1.87, 'n_samples': 145},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 1.92,
-     'n_samples': 2}, {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Average',
-                       'walls-env-eff': 'Average', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                       'median_thermal_transmittance': 0.64, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Average',
-     'walls-env-eff': 'Average', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.68,
-     'n_samples': 2}, {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Average',
-                       'walls-env-eff': 'Average', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                       'median_thermal_transmittance': 0.71, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Average',
-     'walls-env-eff': 'Average', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.73, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.3, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.3, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.44, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.57, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.55, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.32, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.435, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.305, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.35, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.45000000000000007, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 1.15, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.58, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 1.15, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 1.15, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.175, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.13, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.16, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.17, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.2, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.27, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.21, 'n_samples': 14},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.17, 'n_samples': 14},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.19, 'n_samples': 48},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.2,
-     'n_samples': 4}, {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1',
-                       'median_thermal_transmittance': 0.12, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.24,
-     'n_samples': 6}, {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2',
-                       'median_thermal_transmittance': 0.18, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.2, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.14, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.185, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.2, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.18, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.195, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.19, 'n_samples': 42},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.2, 'n_samples': 78},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.18, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.20500000000000002, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.23, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.18, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.13, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.18, 'n_samples': 18},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.18, 'n_samples': 96},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.16, 'n_samples': 194},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.21, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.13, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.13, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.22, 'n_samples': 132},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.18,
-     'n_samples': 2}, {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                       'median_thermal_transmittance': 0.15, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.25,
-     'n_samples': 4}, {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-                       'median_thermal_transmittance': 0.195, 'n_samples': 20},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.22,
-     'n_samples': 10}, {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                        'median_thermal_transmittance': 0.18, 'n_samples': 44},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.72, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 1.72, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.76, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.64, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'House', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 2.1,
-     'n_samples': 2}, {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Average',
-                       'walls-env-eff': 'Average', 'built-form': 'Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1',
-                       'median_thermal_transmittance': 0.61, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Average',
-     'walls-env-eff': 'Average', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.74, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Average',
-     'walls-env-eff': 'Average', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.94, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Average',
-     'walls-env-eff': 'Average', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.7849999999999999, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Average',
-     'walls-env-eff': 'Average', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.87, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Average',
-     'walls-env-eff': 'Average', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.66, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Average',
-     'walls-env-eff': 'Average', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.61, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Average',
-     'walls-env-eff': 'Average', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.68, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Average',
-     'walls-env-eff': 'Average', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.7, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7',
-     'median_thermal_transmittance': 0.47, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-     'median_thermal_transmittance': 0.4, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-     'median_thermal_transmittance': 0.44, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.54, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.32, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.37, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.3, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.33, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.3, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.52, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.43, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.48, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.305, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.39, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.44, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.5, 'n_samples': 26},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': None, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 1.01, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 1.44, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 1.18, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 1.12, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 1.08, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.35, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 1.04, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 1.24, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.32, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 1.53, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.17, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.26, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.25, 'n_samples': 14},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.17, 'n_samples': 20},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.23, 'n_samples': 12},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.22, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.24, 'n_samples': 10},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.19, 'n_samples': 30},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.19, 'n_samples': 84},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.18, 'n_samples': 104},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.18, 'n_samples': 190},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.26, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.29, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.21, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.21, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.2, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.195, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.22, 'n_samples': 22},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.18, 'n_samples': 46},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.255, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.29, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.14, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.225, 'n_samples': 12},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.28, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.195, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.18, 'n_samples': 16},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.18, 'n_samples': 64},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.19, 'n_samples': 50},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.25, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.12, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.12, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.29, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.2, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.135, 'n_samples': 8},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.19, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.21, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.15, 'n_samples': 6},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.19, 'n_samples': 44},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.17,
-     'n_samples': 2}, {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5',
-                       'median_thermal_transmittance': 0.17, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.21,
-     'n_samples': 4}, {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                       'median_thermal_transmittance': 0.21000000000000002, 'n_samples': 4},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 1.72, 'n_samples': 2},
-    {'local-authority': 'E09000012', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 1.69, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Bungalow', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Bungalow', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.25, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Bungalow', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.15, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Bungalow', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.22, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Bungalow', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.18, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Bungalow', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.17, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Bungalow', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.17,
-     'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.87, 'n_samples': 12},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.68, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.77, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.63, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.8, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.93, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.98, 'n_samples': 54},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.98, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.95, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.69, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.98, 'n_samples': 28},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': None, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.675, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.63, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.92, 'n_samples': 3},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1',
-     'median_thermal_transmittance': 0.28, 'n_samples': 18},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2',
-     'median_thermal_transmittance': 0.28, 'n_samples': 12},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3',
-     'median_thermal_transmittance': 0.28, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-     'median_thermal_transmittance': 0.28, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5',
-     'median_thermal_transmittance': 0.28, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-     'median_thermal_transmittance': 0.28, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.31, 'n_samples': 56},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.32, 'n_samples': 9},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.455, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.3, 'n_samples': 13},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.31, 'n_samples': 3},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.385, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.33, 'n_samples': 5},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.39, 'n_samples': 11},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.495, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.3, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.33, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.32, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.31, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.51, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.51, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.33, 'n_samples': 24},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.3, 'n_samples': 18},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.54, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.3, 'n_samples': 11},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.35, 'n_samples': 3},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.3, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.41, 'n_samples': 5},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.36, 'n_samples': 3},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': None, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.35, 'n_samples': 3},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.51, 'n_samples': 3},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.305, 'n_samples': 7},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.38, 'n_samples': 8},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.37, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.34, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.4, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.33, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.31, 'n_samples': 15},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.31, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.33, 'n_samples': 3},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.39, 'n_samples': 3},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.45, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1',
-     'median_thermal_transmittance': 1.2349999999999999, 'n_samples': 8},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.41, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 1.52, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 1.4, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 1.35, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 1.03, 'n_samples': 3},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': None, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 1.46, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 1.32, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.25, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.2, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.2, 'n_samples': 423},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.21, 'n_samples': 303},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.2, 'n_samples': 286},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.2, 'n_samples': 374},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.18, 'n_samples': 127},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.22, 'n_samples': 356},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.21, 'n_samples': 148},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.19, 'n_samples': 346},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.19, 'n_samples': 137},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.2, 'n_samples': 226},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.25,
-     'n_samples': 1}, {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1',
-                       'median_thermal_transmittance': 0.21, 'n_samples': 46},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.21,
-     'n_samples': 13}, {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace',
-                        'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                        'median_thermal_transmittance': 0.215, 'n_samples': 8},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.21,
-     'n_samples': 15}, {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace',
-                        'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                        'median_thermal_transmittance': 0.21, 'n_samples': 55},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.21,
-     'n_samples': 25}, {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace',
-                        'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-                        'median_thermal_transmittance': 0.21, 'n_samples': 44},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.21,
-     'n_samples': 14}, {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace',
-                        'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                        'median_thermal_transmittance': 0.22, 'n_samples': 3},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.26, 'n_samples': 47},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.14, 'n_samples': 3},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.21, 'n_samples': 15},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.28, 'n_samples': 36},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.2, 'n_samples': 38},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.22, 'n_samples': 30},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.21, 'n_samples': 92},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.26, 'n_samples': 14},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.27, 'n_samples': 30},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.21, 'n_samples': 11},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.21, 'n_samples': 87},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.21, 'n_samples': 161},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.21, 'n_samples': 160},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.19, 'n_samples': 80},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.2, 'n_samples': 41},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.21, 'n_samples': 119},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.2, 'n_samples': 131},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.2, 'n_samples': 91},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.21, 'n_samples': 25},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.2, 'n_samples': 91},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.16, 'n_samples': 22},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.15, 'n_samples': 44},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.2, 'n_samples': 19},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.18, 'n_samples': 47},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.16, 'n_samples': 56},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.16, 'n_samples': 63},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.16, 'n_samples': 104},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.16, 'n_samples': 76},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.2,
-     'n_samples': 86}, {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2',
-                        'median_thermal_transmittance': 0.195, 'n_samples': 18},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.19,
-     'n_samples': 52}, {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                        'median_thermal_transmittance': 0.21, 'n_samples': 34},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.23,
-     'n_samples': 31}, {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                        'median_thermal_transmittance': 0.2, 'n_samples': 64},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.2,
-     'n_samples': 57}, {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-                        'median_thermal_transmittance': 0.19, 'n_samples': 84},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.2,
-     'n_samples': 39}, {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                        'median_thermal_transmittance': 0.22, 'n_samples': 54},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.805, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 11.26, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 2.05, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 2.02, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 2.1, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 2.1, 'n_samples': 1},
-    {'local-authority': 'E09000013', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 1.95,
-     'n_samples': 1}, {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Average',
-                       'walls-env-eff': 'Average', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                       'median_thermal_transmittance': 0.72, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.3, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.31, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.53, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.39, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.59, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.39, 'n_samples': 12},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.39, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.33, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.39, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.31, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 1.11, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.1, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.19, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.3050000000000002, 'n_samples': 8},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.16, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.21000000000000002, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.29, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.14, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.18, 'n_samples': 14},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.26, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.15, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.21, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.22000000000000003, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.19, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.19, 'n_samples': 50},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.2, 'n_samples': 8},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.27, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.20500000000000002, 'n_samples': 8},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.18, 'n_samples': 10},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.18, 'n_samples': 96},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.18, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.12, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.2, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.2, 'n_samples': 106},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.16,
-     'n_samples': 2}, {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5',
-                       'median_thermal_transmittance': 0.28, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.16,
-     'n_samples': 2}, {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-                       'median_thermal_transmittance': 0.24, 'n_samples': 10},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.18,
-     'n_samples': 4}, {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                       'median_thermal_transmittance': 0.19, 'n_samples': 28},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 2.1, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.75, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'House', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.86, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Average',
-     'walls-env-eff': 'Average', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Average',
-     'walls-env-eff': 'Average', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.83, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-     'median_thermal_transmittance': 0.26, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5',
-     'median_thermal_transmittance': 0.26, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.3, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.3, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.3, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.3, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.3, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.335, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.42, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.33, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.57, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.3, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.41, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 1.05, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.25, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.25, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.22, 'n_samples': 20},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.27, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.28, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.26, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.25, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.16, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.2, 'n_samples': 12},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.27, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.2, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.19, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.21, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.13, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.185, 'n_samples': 12},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.185, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.19, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.20500000000000002, 'n_samples': 4},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.12, 'n_samples': 6},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.16, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.19, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.17, 'n_samples': 18},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.18, 'n_samples': 8},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.17, 'n_samples': 26},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.25,
-     'n_samples': 10}, {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5',
-                        'median_thermal_transmittance': 0.16, 'n_samples': 2},
-    {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.245,
-     'n_samples': 4}, {'local-authority': 'E09000013', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                       'median_thermal_transmittance': 0.225, 'n_samples': 8},
-    {'local-authority': 'E09000014', 'property-type': 'Bungalow', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.3, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Bungalow', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.21, 'n_samples': 10},
-    {'local-authority': 'E09000014', 'property-type': 'Bungalow', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.215, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Bungalow', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.14, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Bungalow', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.28, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Bungalow', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.26, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Bungalow', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.26, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Bungalow', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.26, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Bungalow', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Bungalow', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.13, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Bungalow', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.16,
-     'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.74, 'n_samples': 31},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.81, 'n_samples': 8},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.69, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.71, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.915, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.69, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.64, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.91, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.64, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.71, 'n_samples': 28},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.7, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.61, 'n_samples': 12},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.64, 'n_samples': 3},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': None, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.83, 'n_samples': 14},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.7, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.62, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.7, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1',
-     'median_thermal_transmittance': 0.26, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2',
-     'median_thermal_transmittance': 0.26, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.6, 'n_samples': 97},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.44, 'n_samples': 27},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.3, 'n_samples': 12},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.52, 'n_samples': 7},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.58, 'n_samples': 9},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.37, 'n_samples': 9},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.33999999999999997, 'n_samples': 10},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.4, 'n_samples': 5},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.46, 'n_samples': 7},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.36, 'n_samples': 5},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.39, 'n_samples': 5},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.31, 'n_samples': 8},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.31, 'n_samples': 11},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.39, 'n_samples': 15},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.4, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.44, 'n_samples': 17},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.4, 'n_samples': 16},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.55, 'n_samples': 8},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.33, 'n_samples': 5},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.49, 'n_samples': 15},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.32, 'n_samples': 9},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.35, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.31, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.45, 'n_samples': 18},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.33, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.51, 'n_samples': 30},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.33999999999999997, 'n_samples': 16},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.32, 'n_samples': 3},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': None, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.305, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.3, 'n_samples': 13},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.32, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.32, 'n_samples': 3},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': None, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.44, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.32, 'n_samples': 3},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.3, 'n_samples': 3},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.33, 'n_samples': 5},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.325, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.32, 'n_samples': 14},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.35, 'n_samples': 5},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.19, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 1.36, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 1.39, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.39, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.28, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.15, 'n_samples': 11},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 1.58, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 1.55, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 1.36, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.41, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 1.37, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 1.41, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 1.41, 'n_samples': 3},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 1.41, 'n_samples': 3},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.24, 'n_samples': 12},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.26, 'n_samples': 301},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.26, 'n_samples': 386},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.25, 'n_samples': 201},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.26, 'n_samples': 197},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.26, 'n_samples': 446},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.25, 'n_samples': 288},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.19, 'n_samples': 181},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.19, 'n_samples': 215},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.18, 'n_samples': 160},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.18, 'n_samples': 101},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.27,
-     'n_samples': 4}, {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2',
-                       'median_thermal_transmittance': 0.23, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.25,
-     'n_samples': 1}, {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                       'median_thermal_transmittance': 0.25, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.28,
-     'n_samples': 3}, {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                       'median_thermal_transmittance': 0.25, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.225, 'n_samples': 18},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.2, 'n_samples': 16},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.19, 'n_samples': 18},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.2, 'n_samples': 43},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.2, 'n_samples': 30},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.19, 'n_samples': 13},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.2, 'n_samples': 17},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.185, 'n_samples': 24},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.18, 'n_samples': 19},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.16, 'n_samples': 17},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.195, 'n_samples': 60},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.19, 'n_samples': 77},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.17, 'n_samples': 58},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.19, 'n_samples': 86},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.19, 'n_samples': 118},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.18, 'n_samples': 46},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.18, 'n_samples': 51},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.18, 'n_samples': 22},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.16, 'n_samples': 12},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.16, 'n_samples': 21},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.25, 'n_samples': 114},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.26, 'n_samples': 20},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.23, 'n_samples': 57},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.19, 'n_samples': 39},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.2, 'n_samples': 41},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.2, 'n_samples': 69},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.225, 'n_samples': 36},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.22, 'n_samples': 35},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.20500000000000002, 'n_samples': 41},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.21, 'n_samples': 36},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.22,
-     'n_samples': 62}, {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2',
-                        'median_thermal_transmittance': 0.22, 'n_samples': 19},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.22,
-     'n_samples': 38}, {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                        'median_thermal_transmittance': 0.22, 'n_samples': 37},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.19,
-     'n_samples': 52}, {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                        'median_thermal_transmittance': 0.19, 'n_samples': 65},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.18,
-     'n_samples': 29}, {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-                        'median_thermal_transmittance': 0.25, 'n_samples': 38},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.22,
-     'n_samples': 12}, {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                        'median_thermal_transmittance': 0.19, 'n_samples': 14},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 1.82, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 1.64, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.92, 'n_samples': 3},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.9, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 2.09, 'n_samples': 3},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 1.65, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 1.96, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 2.05, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 2.05, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.72,
-     'n_samples': 1}, {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-                       'walls-env-eff': 'Very Poor', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                       'median_thermal_transmittance': 2.03, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 1.77,
-     'n_samples': 1}, {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-                       'walls-env-eff': 'Very Poor', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                       'median_thermal_transmittance': 1.68, 'n_samples': 1},
-    {'local-authority': 'E09000014', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 2.1,
-     'n_samples': 2}, {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Average',
-                       'walls-env-eff': 'Average', 'built-form': 'End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                       'median_thermal_transmittance': 0.69, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Average',
-     'walls-env-eff': 'Average', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.97, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Average',
-     'walls-env-eff': 'Average', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.71, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.3, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.315, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.38, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.3, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.435, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.27, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.3, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.1949999999999998, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.415, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.17, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.25, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.18, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.22000000000000003, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.2, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.175, 'n_samples': 8},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.17, 'n_samples': 134},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.27,
-     'n_samples': 4}, {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                       'median_thermal_transmittance': 0.18, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.22, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.25, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.2, 'n_samples': 14},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.17, 'n_samples': 12},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.175, 'n_samples': 52},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.18, 'n_samples': 10},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.22, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.22, 'n_samples': 26},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.16, 'n_samples': 90},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.29, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.18, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.18, 'n_samples': 14},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.16, 'n_samples': 40},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.19,
-     'n_samples': 4}, {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5',
-                       'median_thermal_transmittance': 0.18, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.17,
-     'n_samples': 8}, {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9',
-                       'median_thermal_transmittance': 0.22000000000000003, 'n_samples': 8},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.19,
-     'n_samples': 84}, {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Poor',
-                        'walls-env-eff': 'Very Poor', 'built-form': 'End-Terrace', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9',
-                        'median_thermal_transmittance': 1.87, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'House', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 1.69,
-     'n_samples': 2}, {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Average',
-                       'walls-env-eff': 'Average', 'built-form': '', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                       'median_thermal_transmittance': 1.0, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Average',
-     'walls-env-eff': 'Average', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.77, 'n_samples': 10},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Average',
-     'walls-env-eff': 'Average', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.82, 'n_samples': 18},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Average',
-     'walls-env-eff': 'Average', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.7, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.6, 'n_samples': 58},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.3, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.6, 'n_samples': 124},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.39, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.35, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.3, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.31, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.32, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.31, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.31, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.41000000000000003, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.3, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.28, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-     'median_thermal_transmittance': 1.17, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 1.41, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.26, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.28, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.195, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.27, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.16, 'n_samples': 8},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.155, 'n_samples': 16},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.22, 'n_samples': 26},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.24,
-     'n_samples': 2}, {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1',
-                       'median_thermal_transmittance': 0.24, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.19, 'n_samples': 14},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.25, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.18, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.2, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.19, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.24, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.21000000000000002, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.2, 'n_samples': 14},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.21500000000000002, 'n_samples': 12},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.27, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.2, 'n_samples': 18},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.275, 'n_samples': 4},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.27, 'n_samples': 8},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.18, 'n_samples': 18},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.17, 'n_samples': 54},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.25,
-     'n_samples': 2}, {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                       'median_thermal_transmittance': 0.17, 'n_samples': 6},
-    {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.18,
-     'n_samples': 8}, {'local-authority': 'E09000014', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9',
-                       'median_thermal_transmittance': 0.195, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'Bungalow', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 1.17, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.75, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.97, 'n_samples': 3},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.87, 'n_samples': 3},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.905, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 1.0, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.98, 'n_samples': 5},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.97, 'n_samples': 15},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.83, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.61, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.67, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.95, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.96, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.62, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.92, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.96, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.62, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.63, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.97, 'n_samples': 10},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.97, 'n_samples': 40},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.96, 'n_samples': 176},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.65, 'n_samples': 24},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.97, 'n_samples': 31},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.97, 'n_samples': 17},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.42, 'n_samples': 23},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.42, 'n_samples': 21},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.31, 'n_samples': 3},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.5, 'n_samples': 36},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.42, 'n_samples': 52},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.3, 'n_samples': 61},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.3, 'n_samples': 5},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.42, 'n_samples': 97},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.42, 'n_samples': 153},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.33999999999999997, 'n_samples': 6},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.35, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.35, 'n_samples': 9},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.35, 'n_samples': 3},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.35, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.35, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.35, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.35, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.35, 'n_samples': 3},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.35, 'n_samples': 5},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.35, 'n_samples': 9},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.35, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.33, 'n_samples': 40},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.385, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.45, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.57, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.34, 'n_samples': 55},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.52, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.395, 'n_samples': 12},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.43, 'n_samples': 16},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.31, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.37, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.49, 'n_samples': 3},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.35, 'n_samples': 15},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.31, 'n_samples': 10},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.51, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.31, 'n_samples': 220},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.31, 'n_samples': 3},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.35, 'n_samples': 11},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.32, 'n_samples': 76},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.33, 'n_samples': 85},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.31, 'n_samples': 46},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.31, 'n_samples': 38},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.35, 'n_samples': 49},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.35, 'n_samples': 55},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.35, 'n_samples': 52},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.3, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.3, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.32, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.34, 'n_samples': 6},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.42, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.35, 'n_samples': 5},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.45999999999999996, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.35, 'n_samples': 6},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.06, 'n_samples': 11},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 1.06, 'n_samples': 16},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 1.06, 'n_samples': 24},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 1.06, 'n_samples': 48},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 1.06, 'n_samples': 11},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 1.06, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 1.06, 'n_samples': 7},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 1.1800000000000002, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 1.06, 'n_samples': 18},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.06, 'n_samples': 153},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 1.34, 'n_samples': 9},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 1.34, 'n_samples': 9},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 1.27, 'n_samples': 20},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.33, 'n_samples': 11},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 1.4, 'n_samples': 22},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 1.11, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 1.08, 'n_samples': 9},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 1.19, 'n_samples': 12},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.18, 'n_samples': 52},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 1.49, 'n_samples': 6},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 1.04, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 1.13, 'n_samples': 194},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 1.41, 'n_samples': 6},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 1.13, 'n_samples': 188},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 1.11, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 1.045, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.37, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 1.16, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 1.16, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 1.16, 'n_samples': 3},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.12, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 1.03, 'n_samples': 176},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 1.53, 'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.06, 'n_samples': 9},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.19, 'n_samples': 389},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.18, 'n_samples': 666},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.16, 'n_samples': 341},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.17, 'n_samples': 535},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.18, 'n_samples': 691},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.18, 'n_samples': 643},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.17, 'n_samples': 353},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.18, 'n_samples': 478},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.18, 'n_samples': 381},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.16, 'n_samples': 222},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.2,
-     'n_samples': 4}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2',
-                       'median_thermal_transmittance': 0.15, 'n_samples': 55},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.15,
-     'n_samples': 29}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace',
-                        'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                        'median_thermal_transmittance': 0.195, 'n_samples': 48},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.18,
-     'n_samples': 29}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace',
-                        'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                        'median_thermal_transmittance': 0.18, 'n_samples': 15},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.18,
-     'n_samples': 34}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace',
-                        'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-                        'median_thermal_transmittance': 0.15, 'n_samples': 41},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.15,
-     'n_samples': 38}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace',
-                        'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                        'median_thermal_transmittance': 0.15, 'n_samples': 46},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.18,
-     'n_samples': 10}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace',
-                        'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2',
-                        'median_thermal_transmittance': 0.2, 'n_samples': 24},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.195,
-     'n_samples': 2}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                       'median_thermal_transmittance': 0.2, 'n_samples': 7},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.18,
-     'n_samples': 19}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace',
-                        'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                        'median_thermal_transmittance': 0.18, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.18,
-     'n_samples': 6}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9',
-                       'median_thermal_transmittance': 0.19, 'n_samples': 5},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.22, 'n_samples': 21},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.18, 'n_samples': 30},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.23, 'n_samples': 30},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.17, 'n_samples': 70},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.2, 'n_samples': 70},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.21, 'n_samples': 76},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.25, 'n_samples': 15},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.2, 'n_samples': 81},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.18, 'n_samples': 77},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.16, 'n_samples': 41},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.14, 'n_samples': 72},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.2, 'n_samples': 100},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.17, 'n_samples': 181},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.17, 'n_samples': 143},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.16, 'n_samples': 120},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.14, 'n_samples': 188},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.18, 'n_samples': 76},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.16, 'n_samples': 145},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.16, 'n_samples': 139},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.17, 'n_samples': 51},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.29, 'n_samples': 22},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.14500000000000002, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.165, 'n_samples': 64},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.22, 'n_samples': 174},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.19, 'n_samples': 205},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.18, 'n_samples': 200},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.14, 'n_samples': 149},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.2, 'n_samples': 127},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.21, 'n_samples': 129},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.19, 'n_samples': 56},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.15,
-     'n_samples': 60}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2',
-                        'median_thermal_transmittance': 0.155, 'n_samples': 174},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.15,
-     'n_samples': 44}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                        'median_thermal_transmittance': 0.15, 'n_samples': 108},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.155,
-     'n_samples': 96}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                        'median_thermal_transmittance': 0.22, 'n_samples': 135},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7',
-     'median_thermal_transmittance': 0.20500000000000002, 'n_samples': 84},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.21,
-     'n_samples': 80}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9',
-                        'median_thermal_transmittance': 0.15, 'n_samples': 107},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.15,
-     'n_samples': 43}, {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-                        'walls-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1',
-                        'median_thermal_transmittance': 2.1, 'n_samples': 22},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 2.1, 'n_samples': 12},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 2.1, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 2.1, 'n_samples': 14},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 2.1, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 2.1, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 2.1, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 2.1, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 1.96, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 2.03, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 2.09,
-     'n_samples': 1},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.3, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.29, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.33499999999999996, 'n_samples': 12},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.33, 'n_samples': 16},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.32, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.55, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.55, 'n_samples': 6},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.12, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.15, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.17, 'n_samples': 12},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.24,
-     'n_samples': 8}, {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                       'median_thermal_transmittance': 0.24, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.27, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.23, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.16, 'n_samples': 14},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.18, 'n_samples': 64},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.2, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.29, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.23, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.15, 'n_samples': 58},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.16, 'n_samples': 132},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.16, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.14, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.15, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.225, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.19, 'n_samples': 32},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.2,
-     'n_samples': 2}, {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                       'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': None,
-     'n_samples': 2}, {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9',
-                       'median_thermal_transmittance': 0.21, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.16,
-     'n_samples': 14}, {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Poor',
-                        'walls-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                        'median_thermal_transmittance': 1.92, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'House', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 2.1,
-     'n_samples': 8}, {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Average',
-                       'walls-env-eff': 'Average', 'built-form': 'Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9',
-                       'median_thermal_transmittance': 0.68, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9',
-     'median_thermal_transmittance': 0.29, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.3, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.35, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': None, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.45, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.33, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.17, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.17, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.18, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': '', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.18, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.3, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.2, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.2, 'n_samples': 6},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.21, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.21, 'n_samples': 30},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.21, 'n_samples': 50},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.21, 'n_samples': 66},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.15, 'n_samples': 110},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9',
-     'median_thermal_transmittance': 0.14500000000000002, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.135,
-     'n_samples': 8}, {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-                       'median_thermal_transmittance': 0.15, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.15,
-     'n_samples': 8}, {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                       'median_thermal_transmittance': 0.14, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.2, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.22499999999999998, 'n_samples': 12},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.28, 'n_samples': 6},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.28, 'n_samples': 8},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.20500000000000002, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.2, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.2, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.16, 'n_samples': 22},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.16, 'n_samples': 28},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.22, 'n_samples': 22},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.18, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.2, 'n_samples': 14},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.12, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.2, 'n_samples': 40},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.255, 'n_samples': 4},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.2, 'n_samples': 100},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.2, 'n_samples': 10},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.2, 'n_samples': 86},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.19, 'n_samples': 92},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.2,
-     'n_samples': 8}, {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                       'median_thermal_transmittance': 0.2, 'n_samples': 2},
-    {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.17,
-     'n_samples': 2}, {'local-authority': 'E09000028', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9',
-                       'median_thermal_transmittance': 0.22, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Bungalow', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.3, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.7, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.78, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.86, 'n_samples': 3},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.64, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.93, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.7, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.9, 'n_samples': 38},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.66, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.79, 'n_samples': 26},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.83, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.67, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.875, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.84, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.89, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.67, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Average', 'walls-env-eff': 'Average',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.7, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.41, 'n_samples': 46},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.34, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.43, 'n_samples': 9},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.495, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.375, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.31, 'n_samples': 8},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.42, 'n_samples': 3},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.405, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.45, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.38, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.49, 'n_samples': 12},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.42, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.35, 'n_samples': 6},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.35, 'n_samples': 8},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.35, 'n_samples': 5},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.32, 'n_samples': 6},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.32, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.38, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.52, 'n_samples': 45},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.52, 'n_samples': 42},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.35, 'n_samples': 13},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.36, 'n_samples': 9},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.33999999999999997, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.58, 'n_samples': 19},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.6, 'n_samples': 12},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.36, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.54, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.3, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.37, 'n_samples': 12},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.35, 'n_samples': 30},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.35, 'n_samples': 19},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.35, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.345, 'n_samples': 6},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.37, 'n_samples': 12},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.33, 'n_samples': 3},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.43, 'n_samples': 9},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.33, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.395, 'n_samples': 6},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 1.09, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 1.08, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': None, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.19, 'n_samples': 403},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.18, 'n_samples': 908},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.19, 'n_samples': 593},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.19, 'n_samples': 416},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.17, 'n_samples': 530},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.17, 'n_samples': 550},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.18, 'n_samples': 311},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.17, 'n_samples': 451},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.19, 'n_samples': 260},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.21, 'n_samples': 74},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.19,
-     'n_samples': 9}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2',
-                       'median_thermal_transmittance': 0.19, 'n_samples': 5},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.2,
-     'n_samples': 16}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace',
-                        'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                        'median_thermal_transmittance': 0.29, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.29,
-     'n_samples': 6}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                       'median_thermal_transmittance': 0.19, 'n_samples': 11},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.19,
-     'n_samples': 6}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-                       'median_thermal_transmittance': 0.21, 'n_samples': 7},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.19,
-     'n_samples': 19}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Enclosed End-Terrace',
-                        'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                        'median_thermal_transmittance': 0.22, 'n_samples': 6},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.19,
-     'n_samples': 19}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace',
-                        'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2',
-                        'median_thermal_transmittance': 0.19, 'n_samples': 28},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.13,
-     'n_samples': 19}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace',
-                        'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                        'median_thermal_transmittance': 0.19, 'n_samples': 14},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.19,
-     'n_samples': 9}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                       'median_thermal_transmittance': 0.19, 'n_samples': 15},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.19,
-     'n_samples': 9}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-                       'median_thermal_transmittance': 0.18, 'n_samples': 10},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.19,
-     'n_samples': 15}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Enclosed Mid-Terrace',
-                        'number-habitable-rooms': '', 'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                        'median_thermal_transmittance': 0.2, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.19, 'n_samples': 65},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.18, 'n_samples': 67},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.19, 'n_samples': 72},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.16, 'n_samples': 132},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.175, 'n_samples': 472},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.16, 'n_samples': 141},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.18, 'n_samples': 70},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.18, 'n_samples': 76},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.16, 'n_samples': 177},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.2, 'n_samples': 23},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.155, 'n_samples': 154},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.19, 'n_samples': 719},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.15, 'n_samples': 167},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.19, 'n_samples': 157},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.2, 'n_samples': 149},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.18, 'n_samples': 124},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.21, 'n_samples': 128},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.19, 'n_samples': 104},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.18, 'n_samples': 82},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.2, 'n_samples': 33},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': None, 'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.14, 'n_samples': 20},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.24, 'n_samples': 21},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.16, 'n_samples': 65},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': 0.19, 'n_samples': 178},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.18, 'n_samples': 154},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.21, 'n_samples': 102},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.14500000000000002, 'n_samples': 128},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.2, 'n_samples': 75},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.07, 'n_samples': 33},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1',
-     'median_thermal_transmittance': 0.20500000000000002, 'n_samples': 50},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.2,
-     'n_samples': 82}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 3',
-                        'median_thermal_transmittance': 0.21, 'n_samples': 50},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.21,
-     'n_samples': 87}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 5',
-                        'median_thermal_transmittance': 0.195, 'n_samples': 70},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.21,
-     'n_samples': 26}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7',
-                        'median_thermal_transmittance': 0.22, 'n_samples': 27},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.22,
-     'n_samples': 63}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9',
-                        'median_thermal_transmittance': 0.21, 'n_samples': 46},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.21,
-     'n_samples': 30}, {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-                        'walls-env-eff': 'Very Poor', 'built-form': 'Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 1',
-                        'median_thermal_transmittance': 1.745, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 2.37, 'n_samples': 45},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 2.98, 'n_samples': 81},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 2.4, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'Flat', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 2.1,
-     'n_samples': 1},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.33, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.3, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 1.52, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.06, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.21, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.15, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.175, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.21, 'n_samples': 6},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.16, 'n_samples': 16},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.17, 'n_samples': 30},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.24, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.23, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.19, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.17, 'n_samples': 30},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.185, 'n_samples': 48},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.18, 'n_samples': 10},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.28, 'n_samples': 6},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.18, 'n_samples': 38},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.26,
-     'n_samples': 4}, {'local-authority': 'E09000030', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 4',
-                       'median_thermal_transmittance': 0.18, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.17,
-     'n_samples': 2}, {'local-authority': 'E09000030', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-                       'median_thermal_transmittance': 0.23, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.23,
-     'n_samples': 10}, {'local-authority': 'E09000030', 'property-type': 'House', 'walls-energy-eff': 'Very Good',
-                        'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                        'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10',
-                        'median_thermal_transmittance': 0.19, 'n_samples': 40},
-    {'local-authority': 'E09000030', 'property-type': 'House', 'walls-energy-eff': 'Very Poor',
-     'walls-env-eff': 'Very Poor', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 1.67, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Average',
-     'walls-env-eff': 'Average', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.63, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Average',
-     'walls-env-eff': 'Average', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.99, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Average',
-     'walls-env-eff': 'Average', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.7, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.48, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': 0.32, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.31, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.32, 'n_samples': 6},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.38, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 5', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Good', 'walls-env-eff': 'Good',
-     'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Poor', 'walls-env-eff': 'Poor',
-     'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 1.14, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 1', 'median_thermal_transmittance': 0.2, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.22499999999999998, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.16, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.21, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.19, 'n_samples': 40},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Detached', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.18, 'n_samples': 118},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.21, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.23, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'End-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.19, 'n_samples': 18},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 2', 'median_thermal_transmittance': 0.21, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 4', 'median_thermal_transmittance': 0.18, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 6', 'median_thermal_transmittance': 0.22999999999999998, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.21, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.22, 'n_samples': 22},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Mid-Terrace', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.195, 'n_samples': 4},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 3', 'median_thermal_transmittance': None, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.26, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 8', 'median_thermal_transmittance': 0.2, 'n_samples': 10},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 9', 'median_thermal_transmittance': 0.23, 'n_samples': 30},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'NO DATA!', 'number-habitable-rooms': '', 'number-heated-rooms': '',
-     'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.22, 'n_samples': 52},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 7', 'median_thermal_transmittance': 0.17,
-     'n_samples': 2}, {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-                       'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 8',
-                       'median_thermal_transmittance': 0.17, 'n_samples': 2},
-    {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Good',
-     'walls-env-eff': 'Very Good', 'built-form': 'Semi-Detached', 'number-habitable-rooms': '',
-     'number-heated-rooms': '', 'total-floor-area_group': 'Decile 10', 'median_thermal_transmittance': 0.18,
-     'n_samples': 2}, {'local-authority': 'E09000030', 'property-type': 'Maisonette', 'walls-energy-eff': 'Very Poor',
-                       'walls-env-eff': 'Very Poor', 'built-form': 'NO DATA!', 'number-habitable-rooms': '',
-                       'number-heated-rooms': '', 'total-floor-area_group': 'Decile 6',
-                       'median_thermal_transmittance': 2.1, 'n_samples': 2}
-]
diff --git a/backend/app/utils.py b/backend/app/utils.py
index 7099eba1..b4ba1bb9 100644
--- a/backend/app/utils.py
+++ b/backend/app/utils.py
@@ -79,17 +79,17 @@ def sap_to_epc(sap_points: int):
     if sap_points <= 0 or sap_points > 100:
         raise ValueError("SAP points should be between 1 and 100.")
 
-    if sap_points > 91:
+    if sap_points >= 92:
         return "A"
-    elif sap_points > 80:
+    elif sap_points >= 81:
         return "B"
-    elif sap_points > 69:
+    elif sap_points >= 69:
         return "C"
-    elif sap_points > 55:
+    elif sap_points >= 55:
         return "D"
-    elif sap_points > 39:
+    elif sap_points >= 39:
         return "E"
-    elif sap_points > 21:
+    elif sap_points >= 21:
         return "F"
     else:
         return "G"
@@ -108,13 +108,13 @@ def epc_to_sap_lower_bound(epc: str):
     elif epc == "B":
         return 81
     elif epc == "C":
-        return 70
+        return 69
     elif epc == "D":
-        return 56
+        return 55
     elif epc == "E":
-        return 40
+        return 39
     elif epc == "F":
-        return 22
+        return 21
     elif epc == "G":
         return 1
     else:
diff --git a/backend/ml_models/sap_change_model/api.py b/backend/ml_models/sap_change_model/api.py
index fd15ccd1..2eb7d706 100644
--- a/backend/ml_models/sap_change_model/api.py
+++ b/backend/ml_models/sap_change_model/api.py
@@ -62,14 +62,14 @@ class SAPChangeModelAPI:
         logger.info("Making request to sap change api")
         url = f"{self.base_url}/sapmodel/predict"
         payload = {
-            "file_location": f"s3://retrofit-data-dev/{file_location}",
+            "file_location": file_location,
             "property_id": "",  # This should get removed
             "portfolio_id": self.portfolio_id,
             "created_at": self.timestamp
         }
 
         try:
-            response = requests.post(url, json=payload, headers={"Content-Type": "application/json"})
+            response = requests.post(url, json=payload, headers={"Content-Type": "application/json"}, timeout=120)
 
             # Check if the response status code is 2xx (success)
             response.raise_for_status()
diff --git a/backend/requirements/base.txt b/backend/requirements/base.txt
index ce43ce0a..7a925030 100644
--- a/backend/requirements/base.txt
+++ b/backend/requirements/base.txt
@@ -34,4 +34,5 @@ pytz==2023.3
 mip==1.15.0
 boto3==1.28.3
 pandas==1.5.3
-pyarrow==12.0.1
\ No newline at end of file
+pyarrow==12.0.1
+textblob
\ No newline at end of file
diff --git a/backend/tests/test_property.py b/backend/tests/test_property.py
index 8d392bab..76a299fc 100644
--- a/backend/tests/test_property.py
+++ b/backend/tests/test_property.py
@@ -1,15 +1,17 @@
 import pytest
-import pandas as pd
 from unittest.mock import Mock
 from epc_api.client import EpcClient
 from backend.Property import Property
-from open_uprn.OpenUprnClient import OpenUprnClient
-from model_data.EpcClean import EpcClean
+from etl.epc_clean.EpcClean import EpcClean
 
 # Define some test data
 mock_epc_response = {
     "rows": [
         {
+            "lmk-key": 1,
+            "uprn": 1,
+            "number-habitable-rooms": 5,
+            "property-type": "House",
             "inspection-date": "2023-06-01",
             "some-other-key": "some-value",
             "roof-description": "Roof Description",
@@ -34,6 +36,10 @@ mock_epc_response = {
             "construction-age-band": "England and Wales: 1967-1975"
         },
         {
+            "lmk-key": 2,
+            "uprn": 2,
+            "number-habitable-rooms": 5,
+            "property-type": "House",
             "inspection-date": "2023-05-01",
             "some-other-key": "some-other-value",
             "roof-description": "Roof Description",
@@ -63,6 +69,10 @@ mock_epc_response = {
 mock_epc_response_dupe = {
     'rows': [
         {
+            "lmk-key": 1,
+            "uprn": 1,
+            "number-habitable-rooms": 5,
+            "property-type": "House",
             'inspection-date': '2023-06-01', 'some-other-key': 'some-value', 'roof-description': 'Roof Description',
             'walls-description': 'Walls Description', 'windows-description': 'Windows Description',
             'mainheat-description': 'Main Heating Description', 'hotwater-description': 'Hot Water Description',
@@ -83,6 +93,10 @@ mock_epc_response_dupe = {
             "construction-age-band": "England and Wales: 1967-1975"
         },
         {
+            "lmk-key": 2,
+            "uprn": 2,
+            "number-habitable-rooms": 5,
+            "property-type": "House",
             'inspection-date': '2023-05-01', 'some-other-key': 'some-other-value',
             'roof-description': 'Roof Description', 'walls-description': 'Walls Description',
             'windows-description': 'Windows Description', 'mainheat-description': 'Main Heating Description',
@@ -104,6 +118,10 @@ mock_epc_response_dupe = {
             "construction-age-band": "England and Wales: 1967-1975"
         },
         {
+            "lmk-key": 3,
+            "uprn": 3,
+            "number-habitable-rooms": 5,
+            "property-type": "House",
             'inspection-date': '2023-06-01', 'some-other-key': 'duplicate-date',
             'roof-description': 'Roof Description',
             'walls-description': 'Walls Description', 'windows-description': 'Windows Description',
@@ -130,7 +148,7 @@ mock_epc_response_dupe = {
 
 class TestProperty:
     @pytest.fixture(autouse=True)
-    def property_instance(self, mock_epc_client, mock_open_uprn_client, mock_cleaner):
+    def property_instance(self, mock_epc_client, mock_cleaner):
         property_instance = Property(1, "AB12CD", "Test Address", epc_client=mock_epc_client)
         return property_instance
 
@@ -141,29 +159,18 @@ class TestProperty:
 
     @pytest.fixture
     def mock_epc_client(self):
-        mock_epc_client = Mock(spec=EpcClient())
+        mock_epc_client = Mock(spec=EpcClient(auth_token="mocked_auth_token"))
         mock_epc_client.domestic.search.return_value = mock_epc_response.copy()
         mock_epc_client.auth_token = "mocked_auth_token"
         return mock_epc_client
 
     @pytest.fixture
     def mock_epc_client_dupe_data(self):
-        mock_epc_client_dupe_data = Mock(spec=EpcClient())
+        mock_epc_client_dupe_data = Mock(spec=EpcClient(auth_token="mocked_auth_token"))
         mock_epc_client_dupe_data.domestic.search.return_value = mock_epc_response_dupe.copy()
         mock_epc_client_dupe_data.auth_token = "mocked_auth_token"
         return mock_epc_client_dupe_data
 
-    @pytest.fixture
-    def mock_open_uprn_client(self):
-        mock_open_uprn_client = Mock(spec=OpenUprnClient(path=None, uprns=[12345]))
-        mock_open_uprn_client.data = pd.DataFrame(
-            [
-                {"UPRN": 12345, "longitude": 1.2345, "latitude": 2.3456},
-                {"UPRN": 12346, "longitude": 3.4567, "latitude": 4.5678}
-            ]
-        )
-        return mock_open_uprn_client
-
     @pytest.fixture
     def mock_cleaner(self):
         lighting_averages = [
@@ -186,9 +193,22 @@ class TestProperty:
         )
 
         mock_cleaner = Mock(spec=cleaner_spec)
+
+        walls_data = {
+            "original_description": "Walls Description",
+            "is_cavity_wall": True,
+            "is_solid_brick": False,
+            "is_timber_frame": False,
+            "is_system_built": False,
+            "is_park_home": False,
+            "is_cob": False,
+            "is_sandstone_or_limestone": False,
+            "is_granite_or_whinstone": False,
+        }
+
         mock_cleaner.cleaned = {
             "roof-description": [{"original_description": "Roof Description"}],
-            "walls-description": [{"original_description": "Walls Description"}],
+            "walls-description": [walls_data],
             "windows-description": [{"original_description": "Windows Description"}],
             "mainheat-description": [{"original_description": "Main Heating Description"}],
             "hotwater-description": [{"original_description": "Hot Water Description"}],
@@ -201,10 +221,10 @@ class TestProperty:
         # Should be mocked auth token
         assert inst1.epc_client.auth_token == "mocked_auth_token"
 
-        inst2 = Property(3, "AB12CD", "Test Address")
+        inst2 = Property(3, "AB12CD", "Test Address", epc_client=mock_epc_client)
         assert inst2.epc_client.auth_token
 
-        inst3 = Property(4, "AB12CD", "Test Address", data={"some": "data"})
+        inst3 = Property(4, "AB12CD", "Test Address", data={"some": "data"}, epc_client=mock_epc_client)
         assert inst3.data == {"some": "data"}
 
         data = inst3.search_address_epc()
@@ -227,11 +247,23 @@ class TestProperty:
 
         # Verify that the components are set correctly
         assert property_instance.roof == {"original_description": "Roof Description"}
-        assert property_instance.walls == {"original_description": "Walls Description"}
+        assert property_instance.walls == {
+            "original_description": "Walls Description",
+            "is_cavity_wall": True,
+            "is_solid_brick": False,
+            "is_timber_frame": False,
+            "is_system_built": False,
+            "is_park_home": False,
+            "is_cob": False,
+            "is_sandstone_or_limestone": False,
+            "is_granite_or_whinstone": False,
+        }
         assert property_instance.windows == {"original_description": "Windows Description"}
         assert property_instance.main_heating == {"original_description": "Main Heating Description"}
         assert property_instance.hotwater == {"original_description": "Hot Water Description"}
 
+        assert property_instance.wall_type == "cavity"
+
     def test_get_components_without_cleaned_data(self, property_instance, mock_cleaner):
         # Modify the mock EpcClean to not have cleaned data
         mock_cleaner.cleaned = {}
diff --git a/land_registry/__init__.py b/backend/tests/test_sap_model_prep.py
similarity index 100%
rename from land_registry/__init__.py
rename to backend/tests/test_sap_model_prep.py
diff --git a/conservation_areas/app.py b/conservation_areas/app.py
deleted file mode 100644
index 1038bcfe..00000000
--- a/conservation_areas/app.py
+++ /dev/null
@@ -1,51 +0,0 @@
-"""
-This application reads in the open uprn data from a static location and loads it into
-our database for querying from other services
-"""
-
-import os
-from conservation_areas.ConservationAreaClient import ConservationAreaClient
-from datatypes.datatypes import OpenUprnCoordinateData
-
-
-def app():
-    conservation_area_client = ConservationAreaClient(
-        historic_england_path=os.path.abspath(
-            os.path.dirname(__file__)
-        ) + "/model_data/local_data/Historic_Eng_Conservation_Areas/Conservation_Areas.shp",
-        gov_path=os.path.abspath(
-            os.path.dirname(__file__)
-        ) + "/model_data/local_data/gov-conservation-area.geojson"
-    )
-    conservation_area_client.read()
-
-    # We need to iterate through the open uprn data and check if the coordinates are in a conservation area
-    open_uprn_data = [
-        {'UPRN': 6032920, 'X_COORDINATE': 535110.0, 'Y_COORDINATE': 181819.0, 'LATITUDE': 51.5191407,
-         'LONGITUDE': -0.0540506},
-        {'UPRN': 6038625, 'X_COORDINATE': 535374.0, 'Y_COORDINATE': 182784.0, 'LATITUDE': 51.5277492,
-         'LONGITUDE': -0.0498772},
-        {'UPRN': 34153991, 'X_COORDINATE': 523238.74, 'Y_COORDINATE': 178003.02, 'LATITUDE': 51.4875579,
-         'LONGITUDE': -0.226392},
-        {'UPRN': 10008299676, 'X_COORDINATE': 533285.0, 'Y_COORDINATE': 184711.0, 'LATITUDE': 51.5455629,
-         'LONGITUDE': -0.0792445},
-        {'UPRN': 10008299677, 'X_COORDINATE': 533285.0, 'Y_COORDINATE': 184711.0, 'LATITUDE': 51.5455629,
-         'LONGITUDE': -0.0792445},
-        {'UPRN': 100021039066, 'X_COORDINATE': 535506.0, 'Y_COORDINATE': 185624.0, 'LATITUDE': 51.5532385,
-         'LONGITUDE': -0.0468833},
-        {'UPRN': 100021226060, 'X_COORDINATE': 529247.0, 'Y_COORDINATE': 187959.0, 'LATITUDE': 51.5756908,
-         'LONGITUDE': -0.1362513},
-        {'UPRN': 200003489276, 'X_COORDINATE': 533210.0, 'Y_COORDINATE': 179442.0, 'LATITUDE': 51.4982309,
-         'LONGITUDE': -0.0823165}
-    ]
-
-    result = [
-        {
-            "uprn": coordinates["UPRN"],
-            "is_in_conservation_area": conservation_area_client.is_in_conservation_area(
-                OpenUprnCoordinateData(**coordinates))
-        } for coordinates in
-        open_uprn_data
-    ]
-
-    # TODO: Add a method to write to the database
diff --git a/data_collection/README.md b/data_collection/README.md
deleted file mode 100644
index 1e42378d..00000000
--- a/data_collection/README.md
+++ /dev/null
@@ -1,5 +0,0 @@
-# Data Collection
-
-This service is specifically focused on the collection of data external sources which aren't easily
-accessed via api or via downloadable data sources. For example, wages data requires a specific application to
-pull that data from websites, e.g. from Adzuna's api
\ No newline at end of file
diff --git a/data_collection/adzuna.py b/data_collection/adzuna.py
deleted file mode 100644
index d053a2bb..00000000
--- a/data_collection/adzuna.py
+++ /dev/null
@@ -1,86 +0,0 @@
-import requests
-import json
-from data_collection.config import ADZUNA_API_KEY, ADZUNA_APP_ID
-
-import pandas as pd
-import os
-import time
-from tqdm import tqdm
-
-"""
-Table of constituencies and their codes can be downloaded from the Office of National Statistics, found here:
-https://geoportal.statistics.gov.uk/datasets/ons::westminster-parliamentary-constituencies-december-2022-names-and
--codes-in-the-united-kingdom/explore
-"""
-
-constituencies = pd.read_csv(
-    os.path.abspath(
-        os.path.dirname(
-            __file__)) + "/data_collection/data/Westminster_Parliamentary_Constituencies_("
-                         "December_2022)_Names_and_Codes_in_the_United_Kingdom.csv"
-)
-
-constituencies["location_type"] = "constituency"
-
-
-def retry_api_call(job_title, location, max_retries=10):
-    for i in range(max_retries):
-        try:
-            response = get_adzuna_jobs(job_title, location)
-            return response
-        except (requests.HTTPError, requests.ConnectionError):
-            print(f"Attempt {i + 1} failed. Retrying in 2 seconds...")
-            time.sleep(2)
-    print(f"Failed after {max_retries} attempts.")
-    return None
-
-
-def get_adzuna_jobs(job_title, location):
-    base_url = "https://api.adzuna.com/v1/api/jobs"
-    country_code = "gb"
-
-    url = f"{base_url}/{country_code}/search/1"
-
-    params = {
-        "app_id": ADZUNA_APP_ID,
-        "app_key": ADZUNA_API_KEY,
-        "results_per_page": 25,
-        "what": job_title,
-        "where": location,
-        "content-type": "application/json",
-        "distance": 10
-    }
-
-    response = requests.get(url, params=params)
-    response.raise_for_status()
-
-    jobs = json.loads(response.text)
-    return jobs
-
-
-JOB_TITLES = [
-    "insulation installer", "internal wall insulation installer", "external wall insulation installer",
-    "cavity wall insulation installer", "loft insulation installer", "roof insulation installer",
-    "spray foam insulation installer", "insulation technician", "insulation engineer", "iwi insulation installer",
-    "iwi installer", "ewi insulation installer", "ewi installer", "cwi insulation installer", "cwi installer",
-]
-
-results = []
-for i, job_title in enumerate(JOB_TITLES):
-    print("Pulling job title %s of %s" % (str(i + 1), str(len(JOB_TITLES))))
-    for _, location_config in tqdm(constituencies.iterrows(), total=constituencies.shape[0]):
-
-        location = location_config["PCON22NM"]
-        jobs = retry_api_call(job_title, location)
-        time.sleep(0.5)
-        if jobs["results"]:
-            for job in jobs['results']:
-                to_append = {
-                    "job_title": job_title,
-                    "search_location": location,
-                    "search_location_code": location_config["PCON22CD"],
-                    **job
-                }
-                results.append(to_append)
-
-results_df = pd.DataFrame(results)
diff --git a/data_collection/config.py b/data_collection/config.py
deleted file mode 100644
index b2d5a363..00000000
--- a/data_collection/config.py
+++ /dev/null
@@ -1,7 +0,0 @@
-import os
-from dotenv import load_dotenv
-
-load_dotenv(dotenv_path='data_collection/.env')
-
-ADZUNA_API_KEY = os.environ.get('ADZUNA_API_KEY')
-ADZUNA_APP_ID = os.environ.get('ADZUNA_APP_ID')
diff --git a/data_collection/data/.DS_Store b/data_collection/data/.DS_Store
deleted file mode 100644
index 469b1421..00000000
Binary files a/data_collection/data/.DS_Store and /dev/null differ
diff --git a/data_collection/data/Westminster_Parliamentary_Constituencies_(December_2022)_Names_and_Codes_in_the_United_Kingdom.csv b/data_collection/data/Westminster_Parliamentary_Constituencies_(December_2022)_Names_and_Codes_in_the_United_Kingdom.csv
deleted file mode 100644
index d0158806..00000000
--- a/data_collection/data/Westminster_Parliamentary_Constituencies_(December_2022)_Names_and_Codes_in_the_United_Kingdom.csv
+++ /dev/null
@@ -1,651 +0,0 @@
-PCON22CD,PCON22NM,ObjectId
-E14000530,Aldershot,1
-E14000531,Aldridge-Brownhills,2
-E14000532,Altrincham and Sale West,3
-E14000533,Amber Valley,4
-E14000534,Arundel and South Downs,5
-E14000535,Ashfield,6
-E14000536,Ashford,7
-E14000537,Ashton-under-Lyne,8
-E14000538,Aylesbury,9
-E14000539,Banbury,10
-E14000540,Barking,11
-E14000541,Barnsley Central,12
-E14000542,Barnsley East,13
-E14000543,Barrow and Furness,14
-E14000544,Basildon and Billericay,15
-E14000545,Basingstoke,16
-E14000546,Bassetlaw,17
-E14000547,Bath,18
-E14000548,Batley and Spen,19
-E14000549,Battersea,20
-E14000550,Beaconsfield,21
-E14000551,Beckenham,22
-E14000552,Bedford,23
-E14000553,Bermondsey and Old Southwark,24
-E14000554,Berwick-upon-Tweed,25
-E14000555,Bethnal Green and Bow,26
-E14000556,Beverley and Holderness,27
-E14000557,Bexhill and Battle,28
-E14000558,Bexleyheath and Crayford,29
-E14000559,Birkenhead,30
-E14000560,"Birmingham, Edgbaston",31
-E14000561,"Birmingham, Erdington",32
-E14000562,"Birmingham, Hall Green",33
-E14000563,"Birmingham, Hodge Hill",34
-E14000564,"Birmingham, Ladywood",35
-E14000565,"Birmingham, Northfield",36
-E14000566,"Birmingham, Perry Barr",37
-E14000567,"Birmingham, Selly Oak",38
-E14000568,"Birmingham, Yardley",39
-E14000569,Bishop Auckland,40
-E14000570,Blackburn,41
-E14000571,Blackley and Broughton,42
-E14000572,Blackpool North and Cleveleys,43
-E14000573,Blackpool South,44
-E14000574,Blaydon,45
-E14000575,Blyth Valley,46
-E14000576,Bognor Regis and Littlehampton,47
-E14000577,Bolsover,48
-E14000578,Bolton North East,49
-E14000579,Bolton South East,50
-E14000830,Newbury,51
-E14000831,Newcastle upon Tyne Central,52
-E14000832,Newcastle upon Tyne East,53
-E14000833,Newcastle upon Tyne North,54
-E14000834,Newcastle-under-Lyme,55
-E14000835,Newton Abbot,56
-E14000836,"Normanton, Pontefract and Castleford",57
-E14000837,North Cornwall,58
-E14000838,North Devon,59
-E14000839,North Dorset,60
-E14000840,North Durham,61
-E14000841,North East Bedfordshire,62
-E14000842,North East Cambridgeshire,63
-E14000843,North East Derbyshire,64
-E14000844,North East Hampshire,65
-E14000845,North East Hertfordshire,66
-E14000846,North East Somerset,67
-E14000847,North Herefordshire,68
-E14000848,North Norfolk,69
-E14000849,North Shropshire,70
-E14000850,North Somerset,71
-E14000851,North Swindon,72
-E14000852,North Thanet,73
-E14000853,North Tyneside,74
-E14000854,North Warwickshire,75
-E14000855,North West Cambridgeshire,76
-E14000856,North West Durham,77
-E14000857,North West Hampshire,78
-E14000858,North West Leicestershire,79
-E14000859,North West Norfolk,80
-E14000860,North Wiltshire,81
-E14000861,Northampton North,82
-E14000862,Northampton South,83
-E14000863,Norwich North,84
-E14000864,Norwich South,85
-E14000865,Nottingham East,86
-E14000866,Nottingham North,87
-E14000867,Nottingham South,88
-E14000868,Nuneaton,89
-E14000869,Old Bexley and Sidcup,90
-E14000870,Oldham East and Saddleworth,91
-E14000871,Oldham West and Royton,92
-E14000872,Orpington,93
-E14000873,Oxford East,94
-E14000874,Oxford West and Abingdon,95
-E14000875,Pendle,96
-E14000876,Penistone and Stocksbridge,97
-E14000877,Penrith and The Border,98
-E14000878,Peterborough,99
-E14000879,"Plymouth, Moor View",100
-E14000580,Bolton West,101
-E14000581,Bootle,102
-E14000582,Boston and Skegness,103
-E14000583,Bosworth,104
-E14000584,Bournemouth East,105
-E14000585,Bournemouth West,106
-E14000586,Bracknell,107
-E14000587,Bradford East,108
-E14000588,Bradford South,109
-E14000589,Bradford West,110
-E14000590,Braintree,111
-E14000591,Brent Central,112
-E14000592,Brent North,113
-E14000593,Brentford and Isleworth,114
-E14000594,Brentwood and Ongar,115
-E14000595,Bridgwater and West Somerset,116
-E14000596,Brigg and Goole,117
-E14000597,"Brighton, Kemptown",118
-E14000598,"Brighton, Pavilion",119
-E14000599,Bristol East,120
-E14000600,Bristol North West,121
-E14000601,Bristol South,122
-E14000602,Bristol West,123
-E14000603,Broadland,124
-E14000604,Bromley and Chislehurst,125
-E14000605,Bromsgrove,126
-E14000606,Broxbourne,127
-E14000607,Broxtowe,128
-E14000608,Buckingham,129
-E14000609,Burnley,130
-E14000610,Burton,131
-E14000611,Bury North,132
-E14000612,Bury South,133
-E14000613,Bury St Edmunds,134
-E14000614,Calder Valley,135
-E14000615,Camberwell and Peckham,136
-E14000616,Camborne and Redruth,137
-E14000617,Cambridge,138
-E14000618,Cannock Chase,139
-E14000619,Canterbury,140
-E14000620,Carlisle,141
-E14000621,Carshalton and Wallington,142
-E14000622,Castle Point,143
-E14000623,Central Devon,144
-E14000624,Central Suffolk and North Ipswich,145
-E14000625,Charnwood,146
-E14000626,Chatham and Aylesford,147
-E14000627,Cheadle,148
-E14000628,Chelmsford,149
-E14000629,Chelsea and Fulham,150
-E14000630,Cheltenham,151
-E14000631,Chesham and Amersham,152
-E14000632,Chesterfield,153
-E14000633,Chichester,154
-E14000634,Chingford and Woodford Green,155
-E14000635,Chippenham,156
-E14000636,Chipping Barnet,157
-E14000637,Chorley,158
-E14000638,Christchurch,159
-E14000639,Cities of London and Westminster,160
-E14000640,City of Chester,161
-E14000641,City of Durham,162
-E14000642,Clacton,163
-E14000643,Cleethorpes,164
-E14000644,Colchester,165
-E14000645,Colne Valley,166
-E14000646,Congleton,167
-E14000647,Copeland,168
-E14000648,Corby,169
-E14000649,Coventry North East,170
-E14000650,Coventry North West,171
-E14000651,Coventry South,172
-E14000652,Crawley,173
-E14000653,Crewe and Nantwich,174
-E14000654,Croydon Central,175
-E14000655,Croydon North,176
-E14000656,Croydon South,177
-E14000657,Dagenham and Rainham,178
-E14000658,Darlington,179
-E14000659,Dartford,180
-E14000660,Daventry,181
-E14000661,Denton and Reddish,182
-E14000662,Derby North,183
-E14000663,Derby South,184
-E14000664,Derbyshire Dales,185
-E14000665,Devizes,186
-E14000666,Dewsbury,187
-E14000667,Don Valley,188
-E14000668,Doncaster Central,189
-E14000669,Doncaster North,190
-E14000670,Dover,191
-E14000671,Dudley North,192
-E14000672,Dudley South,193
-E14000673,Dulwich and West Norwood,194
-E14000674,Ealing Central and Acton,195
-E14000675,Ealing North,196
-E14000676,"Ealing, Southall",197
-E14000677,Easington,198
-E14000678,East Devon,199
-E14000679,East Ham,200
-E14000780,Leeds North West,201
-E14000781,Leeds West,202
-E14000782,Leicester East,203
-E14000783,Leicester South,204
-E14000784,Leicester West,205
-E14000785,Leigh,206
-E14000786,Lewes,207
-E14000787,Lewisham East,208
-E14000788,Lewisham West and Penge,209
-E14000789,"Lewisham, Deptford",210
-E14000790,Leyton and Wanstead,211
-E14000791,Lichfield,212
-E14000792,Lincoln,213
-E14000793,"Liverpool, Riverside",214
-E14000794,"Liverpool, Walton",215
-E14000795,"Liverpool, Wavertree",216
-E14000796,"Liverpool, West Derby",217
-E14000797,Loughborough,218
-E14000798,Louth and Horncastle,219
-E14000799,Ludlow,220
-E14000800,Luton North,221
-E14000801,Luton South,222
-E14000802,Macclesfield,223
-E14000803,Maidenhead,224
-E14000804,Maidstone and The Weald,225
-E14000805,Makerfield,226
-E14000806,Maldon,227
-E14000807,Manchester Central,228
-E14000808,"Manchester, Gorton",229
-E14000809,"Manchester, Withington",230
-E14000810,Mansfield,231
-E14000811,Meon Valley,232
-E14000812,Meriden,233
-E14000813,Mid Bedfordshire,234
-E14000814,Mid Derbyshire,235
-E14000815,Mid Dorset and North Poole,236
-E14000816,Mid Norfolk,237
-E14000817,Mid Sussex,238
-E14000818,Mid Worcestershire,239
-E14000819,Middlesbrough,240
-E14000820,Middlesbrough South and East Cleveland,241
-E14000821,Milton Keynes North,242
-E14000822,Milton Keynes South,243
-E14000823,Mitcham and Morden,244
-E14000824,Mole Valley,245
-E14000825,Morecambe and Lunesdale,246
-E14000826,Morley and Outwood,247
-E14000827,New Forest East,248
-E14000828,New Forest West,249
-E14000829,Newark,250
-E14000680,East Hampshire,251
-E14000681,East Surrey,252
-E14000682,East Worthing and Shoreham,253
-E14000683,East Yorkshire,254
-E14000880,"Plymouth, Sutton and Devonport",255
-E14000684,Eastbourne,256
-E14000685,Eastleigh,257
-E14000881,Poole,258
-E14000686,Eddisbury,259
-E14000882,Poplar and Limehouse,260
-E14000687,Edmonton,261
-E14000883,Portsmouth North,262
-E14000688,Ellesmere Port and Neston,263
-E14000884,Portsmouth South,264
-E14000689,Elmet and Rothwell,265
-E14000885,Preston,266
-E14000690,Eltham,267
-E14000886,Pudsey,268
-E14000691,Enfield North,269
-E14000887,Putney,270
-E14000692,"Enfield, Southgate",271
-E14000888,Rayleigh and Wickford,272
-E14000693,Epping Forest,273
-E14000889,Reading East,274
-E14000694,Epsom and Ewell,275
-E14000890,Reading West,276
-E14000695,Erewash,277
-E14000891,Redcar,278
-E14000696,Erith and Thamesmead,279
-E14000892,Redditch,280
-E14000697,Esher and Walton,281
-E14000893,Reigate,282
-E14000698,Exeter,283
-E14000894,Ribble Valley,284
-E14000699,Fareham,285
-E14000895,Richmond (Yorks),286
-E14000700,Faversham and Mid Kent,287
-E14000896,Richmond Park,288
-E14000701,Feltham and Heston,289
-E14000897,Rochdale,290
-E14000702,Filton and Bradley Stoke,291
-E14000898,Rochester and Strood,292
-E14000703,Finchley and Golders Green,293
-E14000899,Rochford and Southend East,294
-E14000704,Folkestone and Hythe,295
-E14000900,Romford,296
-E14000705,Forest of Dean,297
-E14000901,Romsey and Southampton North,298
-E14000706,Fylde,299
-E14000902,Rossendale and Darwen,300
-E14000707,Gainsborough,301
-E14000903,Rother Valley,302
-E14000904,Rotherham,303
-E14000905,Rugby,304
-E14000906,"Ruislip, Northwood and Pinner",305
-E14000907,Runnymede and Weybridge,306
-E14000908,Rushcliffe,307
-E14000909,Rutland and Melton,308
-E14000910,Saffron Walden,309
-E14000911,Salford and Eccles,310
-E14000912,Salisbury,311
-E14000913,Scarborough and Whitby,312
-E14000914,Scunthorpe,313
-E14000915,Sedgefield,314
-E14000916,Sefton Central,315
-E14000917,Selby and Ainsty,316
-E14000918,Sevenoaks,317
-E14000919,Sheffield Central,318
-E14000920,Sheffield South East,319
-E14000921,"Sheffield, Brightside and Hillsborough",320
-E14000922,"Sheffield, Hallam",321
-E14000923,"Sheffield, Heeley",322
-E14000924,Sherwood,323
-E14000925,Shipley,324
-E14000926,Shrewsbury and Atcham,325
-E14000927,Sittingbourne and Sheppey,326
-E14000928,Skipton and Ripon,327
-E14000929,Sleaford and North Hykeham,328
-E14000730,Harrogate and Knaresborough,329
-E14000731,Harrow East,330
-E14000732,Harrow West,331
-E14000733,Hartlepool,332
-E14000734,Harwich and North Essex,333
-E14000735,Hastings and Rye,334
-E14000736,Havant,335
-E14000737,Hayes and Harlington,336
-E14000738,Hazel Grove,337
-E14000739,Hemel Hempstead,338
-E14000740,Hemsworth,339
-E14000741,Hendon,340
-E14000742,Henley,341
-E14000743,Hereford and South Herefordshire,342
-E14000744,Hertford and Stortford,343
-E14000745,Hertsmere,344
-E14000746,Hexham,345
-E14000747,Heywood and Middleton,346
-E14000748,High Peak,347
-E14000749,Hitchin and Harpenden,348
-E14000750,Holborn and St Pancras,349
-E14000751,Hornchurch and Upminster,350
-E14000752,Hornsey and Wood Green,351
-E14000753,Horsham,352
-E14000754,Houghton and Sunderland South,353
-E14000755,Hove,354
-E14000756,Huddersfield,355
-E14000757,Huntingdon,356
-E14000758,Hyndburn,357
-E14000759,Ilford North,358
-E14000760,Ilford South,359
-E14000761,Ipswich,360
-E14000762,Isle of Wight,361
-E14000763,Islington North,362
-E14000764,Islington South and Finsbury,363
-E14000765,Jarrow,364
-E14000766,Keighley,365
-E14000767,Kenilworth and Southam,366
-E14000768,Kensington,367
-E14000769,Kettering,368
-E14000770,Kingston and Surbiton,369
-E14000771,Kingston upon Hull East,370
-E14000772,Kingston upon Hull North,371
-E14000773,Kingston upon Hull West and Hessle,372
-E14000774,Kingswood,373
-E14000775,Knowsley,374
-E14000776,Lancaster and Fleetwood,375
-E14000777,Leeds Central,376
-E14000778,Leeds East,377
-E14000779,Leeds North East,378
-E14000708,Garston and Halewood,379
-E14000709,Gateshead,380
-E14000710,Gedling,381
-E14000711,Gillingham and Rainham,382
-E14000712,Gloucester,383
-E14000713,Gosport,384
-E14000714,Grantham and Stamford,385
-E14000715,Gravesham,386
-E14000716,Great Grimsby,387
-E14000717,Great Yarmouth,388
-E14000718,Greenwich and Woolwich,389
-E14000719,Guildford,390
-E14000720,Hackney North and Stoke Newington,391
-E14000721,Hackney South and Shoreditch,392
-E14000722,Halesowen and Rowley Regis,393
-E14000723,Halifax,394
-E14000724,Haltemprice and Howden,395
-E14000725,Halton,396
-E14000726,Hammersmith,397
-E14000727,Hampstead and Kilburn,398
-E14000728,Harborough,399
-E14000729,Harlow,400
-E14000930,Slough,401
-E14000931,Solihull,402
-E14000932,Somerton and Frome,403
-E14000933,South Basildon and East Thurrock,404
-E14000934,South Cambridgeshire,405
-E14000935,South Derbyshire,406
-E14000936,South Dorset,407
-E14000937,South East Cambridgeshire,408
-E14000938,South East Cornwall,409
-E14000939,South Holland and The Deepings,410
-E14000940,South Leicestershire,411
-E14000941,South Norfolk,412
-E14000942,South Northamptonshire,413
-E14000943,South Ribble,414
-E14000944,South Shields,415
-E14000945,South Staffordshire,416
-E14000946,South Suffolk,417
-E14000947,South Swindon,418
-E14000948,South Thanet,419
-E14000949,South West Bedfordshire,420
-E14000950,South West Devon,421
-E14000951,South West Hertfordshire,422
-E14000952,South West Norfolk,423
-E14000953,South West Surrey,424
-E14000954,South West Wiltshire,425
-E14000955,"Southampton, Itchen",426
-E14000956,"Southampton, Test",427
-E14000957,Southend West,428
-E14000958,Southport,429
-E14000959,Spelthorne,430
-E14000960,St Albans,431
-E14000961,St Austell and Newquay,432
-E14000962,St Helens North,433
-E14000963,St Helens South and Whiston,434
-E14000964,St Ives,435
-E14000965,Stafford,436
-E14000966,Staffordshire Moorlands,437
-E14000967,Stalybridge and Hyde,438
-E14000968,Stevenage,439
-E14000969,Stockport,440
-E14000970,Stockton North,441
-E14000971,Stockton South,442
-E14000972,Stoke-on-Trent Central,443
-E14000973,Stoke-on-Trent North,444
-E14000974,Stoke-on-Trent South,445
-E14000975,Stone,446
-E14000976,Stourbridge,447
-E14000977,Stratford-on-Avon,448
-E14000978,Streatham,449
-E14000979,Stretford and Urmston,450
-E14000980,Stroud,451
-E14000981,Suffolk Coastal,452
-E14000982,Sunderland Central,453
-E14000983,Surrey Heath,454
-E14000984,Sutton and Cheam,455
-E14000985,Sutton Coldfield,456
-E14000986,Tamworth,457
-E14000987,Tatton,458
-E14000988,Taunton Deane,459
-E14000989,Telford,460
-E14000990,Tewkesbury,461
-E14000991,The Cotswolds,462
-E14000992,The Wrekin,463
-E14000993,Thirsk and Malton,464
-E14000994,Thornbury and Yate,465
-E14000995,Thurrock,466
-E14000996,Tiverton and Honiton,467
-E14000997,Tonbridge and Malling,468
-E14000998,Tooting,469
-E14000999,Torbay,470
-E14001000,Torridge and West Devon,471
-E14001001,Totnes,472
-E14001002,Tottenham,473
-E14001003,Truro and Falmouth,474
-E14001004,Tunbridge Wells,475
-E14001005,Twickenham,476
-E14001006,Tynemouth,477
-E14001007,Uxbridge and South Ruislip,478
-E14001008,Vauxhall,479
-E14001009,Wakefield,480
-E14001010,Wallasey,481
-E14001011,Walsall North,482
-E14001012,Walsall South,483
-E14001013,Walthamstow,484
-E14001014,Wansbeck,485
-E14001015,Wantage,486
-E14001016,Warley,487
-E14001017,Warrington North,488
-E14001018,Warrington South,489
-E14001019,Warwick and Leamington,490
-E14001020,Washington and Sunderland West,491
-E14001021,Watford,492
-E14001022,Waveney,493
-E14001023,Wealden,494
-E14001024,Weaver Vale,495
-E14001025,Wellingborough,496
-E14001026,Wells,497
-E14001027,Welwyn Hatfield,498
-E14001028,Wentworth and Dearne,499
-E14001029,West Bromwich East,500
-E14001030,West Bromwich West,501
-E14001031,West Dorset,502
-E14001032,West Ham,503
-E14001033,West Lancashire,504
-E14001034,West Suffolk,505
-E14001035,West Worcestershire,506
-E14001036,Westminster North,507
-E14001037,Westmorland and Lonsdale,508
-E14001038,Weston-Super-Mare,509
-E14001039,Wigan,510
-E14001040,Wimbledon,511
-E14001041,Winchester,512
-E14001042,Windsor,513
-E14001043,Wirral South,514
-E14001044,Wirral West,515
-E14001045,Witham,516
-E14001046,Witney,517
-E14001047,Woking,518
-E14001048,Wokingham,519
-E14001049,Wolverhampton North East,520
-E14001050,Wolverhampton South East,521
-E14001051,Wolverhampton South West,522
-E14001052,Worcester,523
-E14001053,Workington,524
-E14001054,Worsley and Eccles South,525
-E14001055,Worthing West,526
-E14001056,Wycombe,527
-E14001057,Wyre and Preston North,528
-E14001058,Wyre Forest,529
-E14001059,Wythenshawe and Sale East,530
-E14001060,Yeovil,531
-E14001061,York Central,532
-E14001062,York Outer,533
-N06000001,Belfast East,534
-N06000002,Belfast North,535
-N06000003,Belfast South,536
-N06000004,Belfast West,537
-N06000005,East Antrim,538
-N06000006,East Londonderry,539
-N06000007,Fermanagh and South Tyrone,540
-N06000008,Foyle,541
-N06000009,Lagan Valley,542
-N06000010,Mid Ulster,543
-N06000011,Newry and Armagh,544
-N06000012,North Antrim,545
-N06000013,North Down,546
-N06000014,South Antrim,547
-N06000015,South Down,548
-N06000016,Strangford,549
-N06000017,Upper Bann,550
-S14000050,Ochil and South Perthshire,551
-S14000051,Orkney and Shetland,552
-S14000052,Paisley and Renfrewshire North,553
-S14000053,Paisley and Renfrewshire South,554
-S14000054,Perth and North Perthshire,555
-S14000055,"Ross, Skye and Lochaber",556
-S14000056,Rutherglen and Hamilton West,557
-S14000057,Stirling,558
-S14000058,West Aberdeenshire and Kincardine,559
-S14000059,West Dunbartonshire,560
-W07000041,Ynys Môn,561
-W07000042,Delyn,562
-W07000043,Alyn and Deeside,563
-W07000044,Wrexham,564
-W07000045,Llanelli,565
-W07000046,Gower,566
-W07000047,Swansea West,567
-W07000048,Swansea East,568
-W07000049,Aberavon,569
-W07000050,Cardiff Central,570
-W07000051,Cardiff North,571
-W07000052,Rhondda,572
-W07000053,Torfaen,573
-W07000054,Monmouth,574
-W07000055,Newport East,575
-W07000056,Newport West,576
-W07000057,Arfon,577
-W07000058,Aberconwy,578
-W07000059,Clwyd West,579
-W07000060,Vale of Clwyd,580
-W07000061,Dwyfor Meirionnydd,581
-W07000062,Clwyd South,582
-W07000063,Montgomeryshire,583
-W07000064,Ceredigion,584
-W07000065,Preseli Pembrokeshire,585
-W07000066,Carmarthen West and South Pembrokeshire,586
-W07000067,Carmarthen East and Dinefwr,587
-W07000068,Brecon and Radnorshire,588
-W07000069,Neath,589
-W07000070,Cynon Valley,590
-W07000071,Merthyr Tydfil and Rhymney,591
-W07000072,Blaenau Gwent,592
-W07000073,Bridgend,593
-W07000074,Ogmore,594
-W07000075,Pontypridd,595
-W07000076,Caerphilly,596
-W07000077,Islwyn,597
-W07000078,Vale of Glamorgan,598
-W07000079,Cardiff West,599
-W07000080,Cardiff South and Penarth,600
-N06000018,West Tyrone,601
-S14000001,Aberdeen North,602
-S14000002,Aberdeen South,603
-S14000003,Airdrie and Shotts,604
-S14000004,Angus,605
-S14000005,Argyll and Bute,606
-S14000006,"Ayr, Carrick and Cumnock",607
-S14000007,Banff and Buchan,608
-S14000008,"Berwickshire, Roxburgh and Selkirk",609
-S14000009,"Caithness, Sutherland and Easter Ross",610
-S14000010,Central Ayrshire,611
-S14000011,"Coatbridge, Chryston and Bellshill",612
-S14000012,"Cumbernauld, Kilsyth and Kirkintilloch East",613
-S14000013,Dumfries and Galloway,614
-S14000014,"Dumfriesshire, Clydesdale and Tweeddale",615
-S14000015,Dundee East,616
-S14000016,Dundee West,617
-S14000017,Dunfermline and West Fife,618
-S14000018,East Dunbartonshire,619
-S14000019,"East Kilbride, Strathaven and Lesmahagow",620
-S14000020,East Lothian,621
-S14000021,East Renfrewshire,622
-S14000022,Edinburgh East,623
-S14000023,Edinburgh North and Leith,624
-S14000024,Edinburgh South,625
-S14000025,Edinburgh South West,626
-S14000026,Edinburgh West,627
-S14000027,Na h-Eileanan an Iar,628
-S14000028,Falkirk,629
-S14000029,Glasgow Central,630
-S14000030,Glasgow East,631
-S14000031,Glasgow North,632
-S14000032,Glasgow North East,633
-S14000033,Glasgow North West,634
-S14000034,Glasgow South,635
-S14000035,Glasgow South West,636
-S14000036,Glenrothes,637
-S14000037,Gordon,638
-S14000038,Inverclyde,639
-S14000039,"Inverness, Nairn, Badenoch and Strathspey",640
-S14000040,Kilmarnock and Loudoun,641
-S14000041,Kirkcaldy and Cowdenbeath,642
-S14000042,Lanark and Hamilton East,643
-S14000043,Linlithgow and East Falkirk,644
-S14000044,Livingston,645
-S14000045,Midlothian,646
-S14000046,Moray,647
-S14000047,Motherwell and Wishaw,648
-S14000048,North Ayrshire and Arran,649
-S14000049,North East Fife,650
diff --git a/data_collection/local_authority.py b/data_collection/local_authority.py
deleted file mode 100644
index 8b137891..00000000
--- a/data_collection/local_authority.py
+++ /dev/null
@@ -1 +0,0 @@
-
diff --git a/data_collection/requirements.txt b/data_collection/requirements.txt
deleted file mode 100644
index 12973ef7..00000000
--- a/data_collection/requirements.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-requests
-python-dotenv
-pandas
-tqdm
\ No newline at end of file
diff --git a/model_data/__init__.py b/etl/__init__.py
similarity index 100%
rename from model_data/__init__.py
rename to etl/__init__.py
diff --git a/model_data/simulation_system/core/DataProcessor.py b/etl/epc/DataProcessor.py
similarity index 66%
rename from model_data/simulation_system/core/DataProcessor.py
rename to etl/epc/DataProcessor.py
index 439ce2e0..e9c84c3c 100644
--- a/model_data/simulation_system/core/DataProcessor.py
+++ b/etl/epc/DataProcessor.py
@@ -1,26 +1,61 @@
 from pathlib import Path
 import numpy as np
 import pandas as pd
-from model_data.BaseUtility import Definitions
-from model_data.simulation_system.core.Settings import (
+from BaseUtility import Definitions
+from etl.epc.settings import (
     DATA_PROCESSOR_SETTINGS,
     EARLIEST_EPC_DATE,
     FULLY_GLAZED_DESCRIPTIONS,
     AVERAGE_FIXED_FEATURES,
-    FLOOR_LEVEL_MAP,
     BUILT_FORM_REMAP,
     COLUMNS_TO_MERGE_ON,
-    COMPONENT_FEATURES,
     FIXED_FEATURES,
     COLUMNTYPES,
     RDSAP_RESPONSE,
     MAX_SAP_SCORE,
     fill_na_map,
-    FIXED_DESCRIPTON_MAPPED_FEATURES
+    STARTING_SUFFIX_COMPONENT_COLS,
+    NO_SUFFIX_COMPONENT_COLS,
+    ENDING_SUFFIX_COMPONENT_COLS
 )
+from recommendations.rdsap_tables import FLOOR_LEVEL_MAP
 
 from typing import List
 
+# These lookups are used to clean the construction age band
+bounds_map = {
+    "England and Wales: before 1900": {"l": 0, "u": 1899},
+    "England and Wales: 1930-1949": {"l": 1930, "u": 1949},
+    "England and Wales: 1900-1929": {"l": 1900, "u": 1929},
+    "England and Wales: 1950-1966": {"l": 1950, "u": 1966},
+    "England and Wales: 1967-1975": {"l": 1967, "u": 1975},
+    "England and Wales: 1976-1982": {"l": 1976, "u": 1982},
+    "England and Wales: 1983-1990": {"l": 1983, "u": 1990},
+    "England and Wales: 1991-1995": {"l": 1991, "u": 1995},
+    "England and Wales: 1996-2002": {"l": 1996, "u": 2002},
+    "England and Wales: 2003-2006": {"l": 2003, "u": 2006},
+    "England and Wales: 2007-2011": {"l": 2007, "u": 2011},
+    "England and Wales: 2012 onwards": {"l": 2012, "u": 3000},
+}
+
+remap = {
+    "England and Wales: 2007 onwards": "England and Wales: 2007-2011"
+}
+
+expanded_map = {
+    i: [
+        label for label, bounds in bounds_map.items() if (i <= bounds["u"]) and (i >= bounds['l'])
+    ][0] for i in range(0, 3001)
+}
+
+
+def is_int(x):
+    try:
+        int(x)
+        return True
+    except:
+        return False
+
 
 class DataProcessor:
     """
@@ -46,66 +81,36 @@ class DataProcessor:
     def insert_data(self, data: pd.DataFrame) -> None:
         self.data = data
 
+    @staticmethod
+    def clean_construction_age_band(x):
+        # Firstly, we check if it's an error value
+        if x in Definitions.DATA_ANOMALY_MATCHES or x in [None, np.nan]:
+            return x
+
+        # Next, we check if it's a value in our map
+        if bounds_map.get(x):
+            return x
+
+        # We check if it's a standard remap value
+        remap_value = remap.get(x, None)
+        if remap_value:
+            return remap_value
+
+        # We check if it's a number
+        if is_int(x):
+            x_int = int(x)
+            return expanded_map[x_int]
+
+        raise NotImplementedError("Not handled the case for value %s" % x)
+
     def standardise_construction_age_band(self):
         """
         This function will tidy up some of the non-standard values that are populated in the construction age
         band, which is useful for cleaning
         """
-        bounds_map = {
-            "England and Wales: before 1900": {"l": 0, "u": 1899},
-            "England and Wales: 1930-1949": {"l": 1930, "u": 1949},
-            "England and Wales: 1900-1929": {"l": 1900, "u": 1929},
-            "England and Wales: 1950-1966": {"l": 1950, "u": 1966},
-            "England and Wales: 1967-1975": {"l": 1967, "u": 1975},
-            "England and Wales: 1976-1982": {"l": 1976, "u": 1982},
-            "England and Wales: 1983-1990": {"l": 1983, "u": 1990},
-            "England and Wales: 1991-1995": {"l": 1991, "u": 1995},
-            "England and Wales: 1996-2002": {"l": 1996, "u": 2002},
-            "England and Wales: 2003-2006": {"l": 2003, "u": 2006},
-            "England and Wales: 2007-2011": {"l": 2007, "u": 2011},
-            "England and Wales: 2012 onwards": {"l": 2012, "u": 3000},
-        }
-
-        remap = {
-            "England and Wales: 2007 onwards": "England and Wales: 2007-2011"
-        }
-
-        expanded_map = {
-            i: [
-                label for label, bounds in bounds_map.items() if (i <= bounds["u"]) and (i >= bounds['l'])
-            ][0] for i in range(0, 3001)
-        }
-
-        def is_int(x):
-            try:
-                int(x)
-                return True
-            except:
-                return False
-
-        def clean_construction_age_band(x):
-            # Firstly, we check if it's an error value
-            if x in Definitions.DATA_ANOMALY_MATCHES or x in [None, np.nan]:
-                return x
-
-            # Next, we check if it's a value in our map
-            if bounds_map.get(x):
-                return x
-
-            # We check if it's a standard remap value
-            remap_value = remap.get(x, None)
-            if remap_value:
-                return remap_value
-
-            # We check if it's a number
-            if is_int(x):
-                x_int = int(x)
-                return expanded_map[x_int]
-
-            raise NotImplementedError("Not handled the case for value %s" % x)
 
         self.data["CONSTRUCTION_AGE_BAND"] = self.data["CONSTRUCTION_AGE_BAND"].apply(
-            lambda x: clean_construction_age_band(x)
+            lambda x: self.clean_construction_age_band(x)
         )
 
         self.data = self.data[
@@ -157,18 +162,6 @@ class DataProcessor:
                     break
                 to_index -= 1
 
-    def reformat_columns(self):
-        """
-        This function applies the re-formattng of columns from lower case to capitalised
-
-        When requesting the epc data from the api, the columns are lower case
-        and separated by a hyphen, whereas in the bulk download, the columns
-        are capitalised and separated by underscores. If rename_columns is True
-        we convert the columns from lower case to capitalised format
-        :return:
-        """
-        self.data.columns = [col.upper().replace("-", "_") for col in self.data.columns]
-
     def pre_process(self) -> pd.DataFrame:
         """
         Load data and begin initial cleaning
@@ -176,22 +169,24 @@ class DataProcessor:
         if self.data is None:
             self.load_data(low_memory=DATA_PROCESSOR_SETTINGS["low_memory"])
 
-        if self.newdata:
-            self.reformat_columns()
-
         if not self.newdata:
             self.confine_data()
 
         self.remap_columns()
 
         # We have some non-standard construction age bands which we'll clean for matching
-        self.standardise_construction_age_band()
-        self.clean_missing_rooms()
+        if not self.newdata:
+            self.standardise_construction_age_band()
+
+            self.clean_missing_rooms()
 
         self.recast_df_columns(
             column_mappings=DATA_PROCESSOR_SETTINGS["column_mappings"]
         )
-        self.clean_multi_glaze_proportion()
+
+        if not self.newdata:
+            self.clean_multi_glaze_proportion()
+
         self.clean_photo_supply()
 
         if not self.newdata:
@@ -203,16 +198,24 @@ class DataProcessor:
             # If we have multiple EPC records, we can try and do filling
             self.fill_na_fields()
 
-        self.data = self.data.sort_values(["UPRN", "LODGEMENT_DATE"], ascending=True)
+        if not self.newdata:
+            self.data = self.data.sort_values(["UPRN", "LODGEMENT_DATE"], ascending=True)
+
         # Final re-casting after data transformed and prepared
-        self.data = self.data.astype(COLUMNTYPES)
+        coltypes = {k: v for k, v in COLUMNTYPES.items() if k in self.data.columns} if self.newdata else COLUMNTYPES
+        self.data = self.data.astype(coltypes)
 
         self.na_remapping()
 
         return self.data
 
     def na_remapping(self):
-        for column, fill_value in fill_na_map.items():
+
+        fill_na_map_apply = {
+            k: v for k, v in fill_na_map.items() if k in self.data.columns
+        } if self.newdata else fill_na_map
+
+        for column, fill_value in fill_na_map_apply.items():
             self.data[column] = self.data[column].fillna(fill_value)
 
     def fill_na_fields(self, columns_to_fill: List = COLUMNS_TO_MERGE_ON):
@@ -255,7 +258,8 @@ class DataProcessor:
         data = data.replace(np.NAN, None)
 
         # Remap certain columns
-        data["FLOOR_LEVEL"] = data["FLOOR_LEVEL"].replace(FLOOR_LEVEL_MAP)
+        if not self.newdata:
+            data["FLOOR_LEVEL"] = data["FLOOR_LEVEL"].replace(FLOOR_LEVEL_MAP)
         data["BUILT_FORM"] = data["BUILT_FORM"].replace(BUILT_FORM_REMAP)
 
         convert_to_lower = ["TRANSACTION_TYPE"]
@@ -348,7 +352,7 @@ class DataProcessor:
 
             cleaning_averages_filled = cleaning_averages_filled.drop(columns=f"{variable}_BUILT_FORM_AVERAGE")
 
-            # If there still is na values, use average across all properties in consituecy
+            # If there still is na values, use average across all epc in consituecy
             cleaning_averages_filled[variable] = cleaning_averages_filled[
                 variable
             ].fillna(cleaning_averages_filled[variable].mean())
@@ -497,9 +501,15 @@ class DataProcessor:
         """
 
         if suffix not in ["_STARTING", "_ENDING"]:
-            raise Exception("Suffix should be one of _STARTING or _ENFING")
+            raise Exception("Suffix should be one of _STARTING or _ENDING")
 
-        return self.data[COMPONENT_FEATURES + ["LODGEMENT_DATE"]].copy().add_suffix(suffix)
+        if suffix == "_STARTING":
+            starting_cols = self.data[STARTING_SUFFIX_COMPONENT_COLS].copy().add_suffix(suffix)
+            fixed_cols = self.data[NO_SUFFIX_COMPONENT_COLS].copy()
+
+            return pd.concat([starting_cols, fixed_cols], axis=1)
+
+        return self.data[ENDING_SUFFIX_COMPONENT_COLS].copy().add_suffix(suffix)
 
     def get_fixed_features(self) -> pd.DataFrame:
         """
@@ -529,125 +539,33 @@ class DataProcessor:
 
         return df
 
-    @classmethod
-    def difference_data(cls, df: pd.DataFrame):
+    @staticmethod
+    def calculate_days_to(lodgement_date):
 
-        """
-        Given a dataframe and starting and ending columns, this function will convert the features to
-        differenced the ending subtract the starting value, which is useful for modelling the difference responces
-        """
+        if isinstance(lodgement_date, str):
+            return (
+                pd.to_datetime(lodgement_date) - pd.to_datetime(EARLIEST_EPC_DATE)
+            ).days
 
-        # We ensure that the u value columns are co-erced to a numerical format
-        uvalue_columns = [col for col in df.columns if "thermal_transmittance" in col]
-        for uvalue_col in uvalue_columns:
-            df[uvalue_col] = pd.to_numeric(df[uvalue_col])
+        return (
+            pd.to_datetime(lodgement_date) - pd.to_datetime(EARLIEST_EPC_DATE)
+        ).dt.days
 
-        key_columns = [
-            "RDSAP_CHANGE", "HEAT_DEMAND_CHANGE", "CARBON_CHANGE",
-            "SAP_STARTING", "HEAT_DEMAND_STARTING",
-            "CARBON_STARTING", "UPRN", "CONSTITUENCY",
-            "SAP_ENDING", "CARBON_ENDING", "HEAT_DEMAND_ENDING",
-            "DAYS_TO_STARTING", "DAYS_TO_ENDING"
-        ]
+    @staticmethod
+    def clean_missings_after_description_process(df, ignore_cols=None):
+        missings = pd.isnull(df).sum()
+        missings = missings[missings > 0]
 
-        ignore_cols = FIXED_FEATURES + FIXED_DESCRIPTON_MAPPED_FEATURES + key_columns
+        if ignore_cols:
+            missings = missings[~missings.index.isin(ignore_cols)]
 
-        columns = {x for x in df.columns if x not in ignore_cols}
-
-        non_numerical_columns = df.select_dtypes(exclude=['number']).columns.tolist()
-        non_numerical_columns = [col for col in non_numerical_columns if col in columns]
-        levels = {col: df[col].unique().tolist() for col in non_numerical_columns}
-
-        df = pd.get_dummies(df, columns=non_numerical_columns)
-
-        # We make sure there is a starting and ending version of the column
-        diff_columns = []
-        no_diff_columns = []  # Store for debugging
-        for col in columns:
-            if "_ENDING" in col:
-                # Don't keep the endings
-                continue
+        for col in missings.index:
+            unique_values = df[col].unique()
+            if True in unique_values or False in unique_values:
+                df[col] = df[col].fillna(False)
+            if "none" in unique_values:
+                df[col] = df[col].fillna("none")
             else:
-                # We have a starting column so check if we have an ending
-                if col.replace("_STARTING", "") + "_ENDING" in columns:
-                    diff_columns.append(col)
-                else:
-                    no_diff_columns.append(col)
-
-        if any(c not in FIXED_DESCRIPTON_MAPPED_FEATURES for c in no_diff_columns):
-            raise Exception("Something went wrong, potentially missed a differencing column")
-
-        datatypes = df.dtypes
-
-        # Note: We also difference columns like floor area and floor height. We should experiement with this.
-        # Starting floor area will heavily impact the starting sap value so that feature may be encapsulated by
-        # the starting value, therefore to explain any differences in the new floor area, it may be enough to
-        # just consider the difference however we can play around with this.
-
-        # Do the differencing
-        cols_to_append = {}
-        for starting_col in diff_columns:
-
-            base_col = starting_col.replace("_STARTING", "")
-
-            if "_STARTING" in starting_col:
-                ending_col = starting_col.replace("_STARTING", "_ENDING")
-            else:
-                ending_col = starting_col + "_ENDING"
-
-            if starting_col not in non_numerical_columns:
-                cols_to_append[f"{base_col}_DIFF"] = df[ending_col] - df[starting_col]
-                df = df.drop(columns=[starting_col, ending_col])
-                continue
-
-            level_values = list(set(levels[starting_col] + levels[ending_col]))
-
-            level_cols = []
-            for level in level_values:
-                starting_level_col = "_".join([starting_col, str(level)])
-                ending_level_col = "_".join([ending_col, str(level)])
-
-                if starting_level_col not in df.columns:
-                    # We have no starting, just ending
-                    col_type = datatypes[ending_level_col].name
-
-                    if col_type == "bool":
-                        cols_to_append[f"{base_col}_{level}_DIFF"] = df[ending_level_col].astype(int)
-                    else:
-                        cols_to_append[f"{base_col}_{level}_DIFF"] = df[ending_level_col]
-
-                    level_cols.append(ending_level_col)
-
-                elif ending_level_col not in df.columns:
-                    # We have no ending, just starting
-                    col_type = datatypes[starting_level_col].name
-
-                    if col_type == "bool":
-                        cols_to_append[f"{base_col}_{level}_DIFF"] = -1 * df[starting_level_col].astype(int)
-                    else:
-                        cols_to_append[f"{base_col}_{level}_DIFF"] = -1 * df[ending_level_col]
-
-                    level_cols.append(starting_level_col)
-
-                else:
-                    col_type = datatypes[starting_level_col].name
-
-                    if col_type == "bool":
-                        cols_to_append[f"{base_col}_{level}_DIFF"] = (
-                            df[ending_level_col].astype(int) - df[starting_level_col].astype(int)
-                        )
-                    else:
-                        cols_to_append[f"{base_col}_{level}_DIFF"] = df[ending_level_col] - df[starting_level_col]
-
-                    level_cols.extend([starting_level_col, ending_level_col])
-
-            # Drop the columns
-            df = df.drop(columns=level_cols)
-
-        cols_to_append = pd.DataFrame(cols_to_append)
-        df = pd.concat([df, cols_to_append], axis=1)
-
-        # Perform a final coercing of string True/False columns to boolean
-        df = cls.coerce_boolean_columns(df, cols_to_ignore=key_columns)
+                df[col] = df[col].fillna("Unknown")
 
         return df
diff --git a/model_data/simulation_system/core/FeatureProcessor.py b/etl/epc/FeatureProcessor.py
similarity index 100%
rename from model_data/simulation_system/core/FeatureProcessor.py
rename to etl/epc/FeatureProcessor.py
diff --git a/model_data/analysis/__init__.py b/etl/epc/__init__.py
similarity index 100%
rename from model_data/analysis/__init__.py
rename to etl/epc/__init__.py
diff --git a/model_data/simulation_system/generate_rdsap_change.py b/etl/epc/property_change_app.py
similarity index 93%
rename from model_data/simulation_system/generate_rdsap_change.py
rename to etl/epc/property_change_app.py
index b317e52c..d7dce61c 100644
--- a/model_data/simulation_system/generate_rdsap_change.py
+++ b/etl/epc/property_change_app.py
@@ -4,25 +4,24 @@ from tqdm import tqdm
 import msgpack
 
 from pathlib import Path
-from model_data.simulation_system.core.Settings import (
+from etl.epc.settings import (
     MANDATORY_FIXED_FEATURES,
     LATEST_FIELD,
     COMPONENT_FEATURES,
     RDSAP_RESPONSE,
     HEAT_DEMAND_RESPONSE,
     COLUMNS_TO_MERGE_ON,
-    EARLIEST_EPC_DATE,
     CARBON_RESPONSE,
 )
-from model_data.simulation_system.core.DataProcessor import DataProcessor
-from utils.s3 import save_dataframe_to_s3_parquet, read_from_s3, read_dataframe_from_s3_parquet
+from etl.epc.DataProcessor import DataProcessor
+from utils.s3 import save_dataframe_to_s3_parquet, read_from_s3
 from recommendations.rdsap_tables import england_wales_age_band_lookup
 from recommendations.recommendation_utils import (
     get_wall_u_value, get_roof_u_value, get_floor_u_value, estimate_perimeter,
     get_wall_type
 )
 
-DATA_DIRECTORY = Path(__file__).parent / "model_data" / "simulation_system" / "data" / "all-domestic-certificates"
+DATA_DIRECTORY = Path(__file__).parent / "local_data" / "all-domestic-certificates"
 
 
 def get_cleaned():
@@ -364,21 +363,6 @@ def make_uvalues(df):
     return df
 
 
-def clean_missings_after_description_process(df):
-    missings = pd.isnull(df).sum()
-    missings = missings[missings > 0]
-    for col in missings.index:
-        unique_values = df[col].unique()
-        if True in unique_values or False in unique_values:
-            df[col] = df[col].fillna(False)
-        if "none" in unique_values:
-            df[col] = df[col].fillna("none")
-        else:
-            df[col] = df[col].fillna("Unknown")
-
-    return df
-
-
 def app():
     # Get all the files in the directory
 
@@ -400,6 +384,8 @@ def app():
         data_processor = DataProcessor(filepath=filepath)
 
         df = data_processor.pre_process()
+        df[df["WALLS_DESCRIPTION"].str.contains("Cavity")]["WALLS_DESCRIPTION"].unique()
+
         cleaning_averages = data_processor.make_cleaning_averages()
 
         # We have some odd cases with missing constituency so we fill
@@ -512,12 +498,11 @@ def app():
 
         # Add some temporal features - we look at the days from the standard starting point in time
         # for the starting and ending date so all records are from a fixed point
-        data_by_urpn_df["DAYS_TO_STARTING"] = (
-            pd.to_datetime(data_by_urpn_df["LODGEMENT_DATE_STARTING"]) - pd.to_datetime(EARLIEST_EPC_DATE)
-        ).dt.days
-        data_by_urpn_df["DAYS_TO_ENDING"] = (
-            pd.to_datetime(data_by_urpn_df["LODGEMENT_DATE_ENDING"]) - pd.to_datetime(EARLIEST_EPC_DATE)
-        ).dt.days
+        data_by_urpn_df["DAYS_TO_STARTING"] = DataProcessor.calculate_days_to(
+            data_by_urpn_df["LODGEMENT_DATE_STARTING"])
+
+        data_by_urpn_df["DAYS_TO_ENDING"] = DataProcessor.calculate_days_to(
+            data_by_urpn_df["LODGEMENT_DATE_ENDING"])
 
         data_by_urpn_df = data_by_urpn_df.drop(columns=["LODGEMENT_DATE_STARTING", "LODGEMENT_DATE_ENDING"])
 
@@ -544,7 +529,7 @@ def app():
         #       Those nulls should be False. clean_missings_after_description_process handles this but shouldn't
         #       need to
 
-        data_by_urpn_df = clean_missings_after_description_process(data_by_urpn_df)
+        data_by_urpn_df = DataProcessor.clean_missings_after_description_process(data_by_urpn_df)
 
         if pd.isnull(data_by_urpn_df).sum().sum():
             raise ValueError("Null values found in dataset after process_and_prune_desriptions")
@@ -564,6 +549,12 @@ def app():
 
     output = pd.concat(dataset)
 
+    # Remove any records that have huge swings in their floor area
+    output["tfa_diff_abs"] = abs(output["TOTAL_FLOOR_AREA_ENDING"] - output["TOTAL_FLOOR_AREA_STARTING"])
+    output["tfa_diff_prop"] = output["tfa_diff_abs"] / output["TOTAL_FLOOR_AREA_STARTING"]
+    output = output[output["tfa_diff_prop"] < 0.5]
+    output = output.drop(columns=["tfa_diff_abs", "tfa_diff_prop"])
+
     uvalue_columns = [col for col in output.columns if "thermal_transmittance" in col]
     for uvalue_col in uvalue_columns:
         output[uvalue_col] = pd.to_numeric(output[uvalue_col])
@@ -571,15 +562,7 @@ def app():
     save_dataframe_to_s3_parquet(
         df=output,
         bucket_name="retrofit-data-dev",
-        file_key="sap_change_model/dataset_without_differencing.parquet",
-    )
-
-    output = DataProcessor.difference_data(output)
-
-    save_dataframe_to_s3_parquet(
-        df=output,
-        bucket_name="retrofit-data-dev",
-        file_key="sap_change_model/dataset_with_differencing.parquet",
+        file_key="sap_change_model/dataset.parquet",
     )
 
 
diff --git a/land_registry/app.py b/etl/epc/requirements.txt
similarity index 100%
rename from land_registry/app.py
rename to etl/epc/requirements.txt
diff --git a/model_data/simulation_system/core/Settings.py b/etl/epc/settings.py
similarity index 51%
rename from model_data/simulation_system/core/Settings.py
rename to etl/epc/settings.py
index 8b5252c5..fb8e464d 100644
--- a/model_data/simulation_system/core/Settings.py
+++ b/etl/epc/settings.py
@@ -133,28 +133,6 @@ RDSAP_RESPONSE = "CURRENT_ENERGY_EFFICIENCY"
 HEAT_DEMAND_RESPONSE = "ENERGY_CONSUMPTION_CURRENT"
 CARBON_RESPONSE = "CO2_EMISSIONS_CURRENT"
 
-
-def ordinal(n):
-    if 10 <= n % 100 <= 20:
-        suffix = "th"
-    else:
-        suffix = {1: "st", 2: "nd", 3: "rd"}.get(n % 10, "th")
-
-    return str(n) + suffix
-
-
-FLOOR_LEVEL_MAP = {
-    "Basement": -1,
-    "Ground": 0,
-    "ground floor": 0,
-    "20+": 20,
-    "21st or above": 21,
-    **{str(i).zfill(2): i for i in range(0, 21)},
-    **{ordinal(i): i for i in range(-1, 21)},
-    **{str(i): i for i in range(-1, 21)},
-    **{i: i for i in range(-1, 21)},
-}
-
 BUILT_FORM_REMAP = {
     "Enclosed End-Terrace": "End-Terrace",
     "Enclosed Mid-Terrace": "Mid-Terrace",
@@ -212,10 +190,66 @@ fill_na_map = {
     "NUMBER_OPEN_FIREPLACES": 0
 }
 
-# After the property descriptions have been re-remapped, we expect these features to be fixed
-FIXED_DESCRIPTON_MAPPED_FEATURES = [
-    'another_property_below', 'is_roof_room', 'is_granite_or_whinstone', 'is_flat', 'is_suspended',
-    'has_dwelling_above', 'is_as_built', 'is_to_external_air', 'is_cob', 'is_pitched', 'is_solid', 'is_at_rafters',
-    'is_solid_brick', 'is_loft', 'is_system_built', 'is_timber_frame', 'is_sandstone_or_limestone', 'is_filled_cavity',
-    'is_cavity_wall', 'is_thatched', 'is_to_unheated_space'
+################################################################################################
+# These are the features we need for scoring
+# We'll likely change how we do this in the future
+################################################################################################
+
+STARTING_SUFFIX_COMPONENT_COLS = [
+    "SAP", "HEAT_DEMAND", "CARBON", "TRANSACTION_TYPE", "MECHANICAL_VENTILATION",
+    "SECONDHEAT_DESCRIPTION", "ENERGY_TARIFF", "SOLAR_WATER_HEATING_FLAG", "PHOTO_SUPPLY",
+    "GLAZED_TYPE", "MULTI_GLAZE_PROPORTION", "LOW_ENERGY_LIGHTING", "NUMBER_OPEN_FIREPLACES",
+    "EXTENSION_COUNT", "TOTAL_FLOOR_AREA", "FLOOR_HEIGHT", "DAYS_TO", "estimated_perimeter"
+]
+NO_SUFFIX_COMPONENT_COLS = ['walls_thermal_transmittance', 'is_cavity_wall',
+                            'is_filled_cavity', 'is_solid_brick', 'is_system_built', 'is_timber_frame',
+                            'is_granite_or_whinstone', 'is_as_built', 'is_cob', 'is_sandstone_or_limestone',
+                            'is_park_home', 'walls_insulation_thickness', 'external_insulation', 'internal_insulation',
+                            'floor_thermal_transmittance', 'is_to_unheated_space', 'is_to_external_air', 'is_suspended',
+                            'is_solid', 'another_property_below', 'floor_insulation_thickness',
+                            'roof_thermal_transmittance', 'is_pitched', 'is_roof_room', 'is_loft', 'is_flat',
+                            'is_thatched', 'is_at_rafters', 'has_dwelling_above', 'roof_insulation_thickness',
+                            'heater_type', 'system_type', 'thermostat_characteristics', 'heating_scope',
+                            'energy_recovery',
+                            'hotwater_tariff_type', 'extra_features', 'chp_systems', 'distribution_system',
+                            'no_system_present', 'appliance', 'has_radiators', 'has_fan_coil_units',
+                            'has_pipes_in_screed_above_insulation', 'has_pipes_in_insulated_timber_floor',
+                            'has_pipes_in_concrete_slab', 'has_boiler', 'has_air_source_heat_pump', 'has_room_heaters',
+                            'has_electric_storage_heaters', 'has_warm_air', 'has_electric_underfloor_heating',
+                            'has_electric_ceiling_heating', 'has_community_scheme', 'has_ground_source_heat_pump',
+                            'has_no_system_present', 'has_portable_electric_heaters', 'has_water_source_heat_pump',
+                            'has_electric_heat_pump', 'has_micro-cogeneration', 'has_solar_assisted_heat_pump',
+                            'has_exhaust_source_heat_pump', 'has_community_heat_pump', 'has_electric', 'has_mains_gas',
+                            'has_wood_logs', 'has_coal', 'has_oil', 'has_wood_pellets', 'has_anthracite',
+                            'has_dual_fuel_mineral_and_wood', 'has_smokeless_fuel', 'has_lpg', 'has_b30k',
+                            'has_electricaire', 'has_assumed_for_most_rooms', 'has_underfloor_heating',
+                            'thermostatic_control', 'charging_system', 'switch_system', 'no_control', 'dhw_control',
+                            'community_heating', 'multiple_room_thermostats', 'auxiliary_systems', 'trvs',
+                            'rate_control',
+                            'glazing_type', 'fuel_type', 'main-fuel_tariff_type', 'is_community',
+                            'no_individual_heating_or_community_network', 'complex_fuel_type',
+                            ]
+
+ENDING_SUFFIX_COMPONENT_COLS = [
+    'SAP', 'HEAT_DEMAND', 'CARBON', 'TRANSACTION_TYPE', 'MECHANICAL_VENTILATION', 'SECONDHEAT_DESCRIPTION',
+    'ENERGY_TARIFF', 'SOLAR_WATER_HEATING_FLAG', 'PHOTO_SUPPLY', 'GLAZED_TYPE', 'MULTI_GLAZE_PROPORTION',
+    'LOW_ENERGY_LIGHTING', 'NUMBER_OPEN_FIREPLACES', 'EXTENSION_COUNT', 'TOTAL_FLOOR_AREA', 'FLOOR_HEIGHT',
+    'DAYS_TO', 'walls_thermal_transmittance', 'is_park_home', 'walls_insulation_thickness',
+    'external_insulation', 'internal_insulation', 'floor_thermal_transmittance', 'floor_insulation_thickness',
+    'roof_thermal_transmittance', 'roof_insulation_thickness', 'heater_type', 'system_type',
+    'thermostat_characteristics', 'heating_scope', 'energy_recovery', 'hotwater_tariff_type', 'extra_features',
+    'chp_systems', 'distribution_system', 'no_system_present', 'appliance', 'has_radiators',
+    'has_fan_coil_units', 'has_pipes_in_screed_above_insulation', 'has_pipes_in_insulated_timber_floor',
+    'has_pipes_in_concrete_slab', 'has_boiler', 'has_air_source_heat_pump', 'has_room_heaters',
+    'has_electric_storage_heaters', 'has_warm_air', 'has_electric_underfloor_heating',
+    'has_electric_ceiling_heating', 'has_community_scheme', 'has_ground_source_heat_pump',
+    'has_no_system_present', 'has_portable_electric_heaters', 'has_water_source_heat_pump',
+    'has_electric_heat_pump', 'has_micro-cogeneration', 'has_solar_assisted_heat_pump',
+    'has_exhaust_source_heat_pump', 'has_community_heat_pump', 'has_electric', 'has_mains_gas', 'has_wood_logs',
+    'has_coal', 'has_oil', 'has_wood_pellets', 'has_anthracite', 'has_dual_fuel_mineral_and_wood',
+    'has_smokeless_fuel', 'has_lpg', 'has_b30k', 'has_electricaire', 'has_assumed_for_most_rooms',
+    'has_underfloor_heating', 'thermostatic_control', 'charging_system', 'switch_system', 'no_control',
+    'dhw_control', 'community_heating', 'multiple_room_thermostats', 'auxiliary_systems', 'trvs',
+    'rate_control', 'glazing_type', 'fuel_type', 'main-fuel_tariff_type', 'is_community',
+    'no_individual_heating_or_community_network', 'complex_fuel_type', 'estimated_perimeter'
 ]
diff --git a/model_data/EpcClean.py b/etl/epc_clean/EpcClean.py
similarity index 83%
rename from model_data/EpcClean.py
rename to etl/epc_clean/EpcClean.py
index 9d3c4d74..10b5095d 100644
--- a/model_data/EpcClean.py
+++ b/etl/epc_clean/EpcClean.py
@@ -4,16 +4,16 @@ from collections import defaultdict
 
 import pandas as pd
 
-from model_data.utils import correct_spelling
-from model_data.epc_attributes.FloorAttributes import FloorAttributes
-from model_data.epc_attributes.HotWaterAttributes import HotWaterAttributes
-from model_data.epc_attributes.MainFuelAttributes import MainFuelAttributes
-from model_data.epc_attributes.MainheatAttributes import MainHeatAttributes
-from model_data.epc_attributes.MainheatControlAttributes import MainheatControlAttributes
-from model_data.epc_attributes.RoofAttributes import RoofAttributes
-from model_data.epc_attributes.WallAttributes import WallAttributes
-from model_data.epc_attributes.WindowAttributes import WindowAttributes
-from model_data.epc_attributes.LightingAttributes import LightingAttributes
+from etl.epc_clean.utils import correct_spelling
+from etl.epc_clean.epc_attributes.FloorAttributes import FloorAttributes
+from etl.epc_clean.epc_attributes.HotWaterAttributes import HotWaterAttributes
+from etl.epc_clean.epc_attributes.MainFuelAttributes import MainFuelAttributes
+from etl.epc_clean.epc_attributes.MainheatAttributes import MainHeatAttributes
+from etl.epc_clean.epc_attributes.MainheatControlAttributes import MainheatControlAttributes
+from etl.epc_clean.epc_attributes.RoofAttributes import RoofAttributes
+from etl.epc_clean.epc_attributes.WallAttributes import WallAttributes
+from etl.epc_clean.epc_attributes.WindowAttributes import WindowAttributes
+from etl.epc_clean.epc_attributes.LightingAttributes import LightingAttributes
 
 
 class EpcClean:
@@ -130,7 +130,7 @@ class EpcClean:
             self.cleaned[field].append(
                 {
                     "original_description": description,
-                    "clean_description": cln.description.capitalize(),
+                    "clean_description": cln.description.replace("(assumed)", "").rstrip().capitalize(),
                     **cln.process()
                 }
             )
diff --git a/model_data/plotting/__init__.py b/etl/epc_clean/__init__.py
similarity index 100%
rename from model_data/plotting/__init__.py
rename to etl/epc_clean/__init__.py
diff --git a/model_data/cleaner_app.py b/etl/epc_clean/app.py
similarity index 82%
rename from model_data/cleaner_app.py
rename to etl/epc_clean/app.py
index 40011404..593559e0 100644
--- a/model_data/cleaner_app.py
+++ b/etl/epc_clean/app.py
@@ -3,8 +3,8 @@ import os
 import pandas as pd
 import msgpack
 
-from model_data.EpcClean import EpcClean
-from model_data.simulation_system.core.Settings import EARLIEST_EPC_DATE
+from etl.epc_clean.EpcClean import EpcClean
+from etl.epc.settings import EARLIEST_EPC_DATE
 from pathlib import Path
 from utils.s3 import save_data_to_s3
 
@@ -19,7 +19,7 @@ LAND_REGISTRY_PATHS = [
     os.path.abspath(os.path.dirname(__file__)) + "/model_data/local_data/pp-2017-part2.csv",
 ]
 
-EPC_DIRECTORY = Path(__file__).parent / "model_data" / "simulation_system" / "data" / "all-domestic-certificates"
+EPC_DIRECTORY = Path(__file__).parent / "local_data" / "all-domestic-certificates"
 
 ENVIRONMENT = os.getenv("ENVIRONMENT", "dev")
 
@@ -27,7 +27,7 @@ ENVIRONMENT = os.getenv("ENVIRONMENT", "dev")
 def app():
     """
     For a pre-defined list of constituencies and property data_types, we'll download EPC data from the API
-    and produce a dataset of cleaned fields so that when we get new properties, we can quickly
+    and produce a dataset of cleaned fields so that when we get new epc, we can quickly
     sanitise any description data
 
     Currently, this application is just run on a local machine
@@ -36,9 +36,6 @@ def app():
     cleaned_data = {}
     epc_directories = [entry for entry in EPC_DIRECTORY.iterdir() if entry.is_dir()]
     for directory in tqdm(epc_directories):
-        directory_destructured = str(directory).split("/")[-1].split("-")
-        gss_code = directory_destructured[1]
-        local_authority = directory_destructured[2]
 
         data = pd.read_csv(directory / "certificates.csv", low_memory=False)
         # Rename the columns to the same format as the api returns
@@ -62,14 +59,6 @@ def app():
                 new_data = [x for x in data if x["original_description"] not in existing_descriptions]
                 cleaned_data[k].extend(new_data)
 
-        # TODO: Add property age band into this
-        # uvalue_estimates = UvalueEstimations(data=data)
-        # uvalue_estimates.get_estimates(cleaner=cleaner)
-        # # TODO: Store these to a s3
-        # uvalue_estimates.walls
-        # uvalue_estimates.floors
-        # uvalue_estimates.roofs
-
     # Basic check to make sure all descriptions are unique
     for _, cleaned in cleaned_data.items():
         descriptions = [x["original_description"] for x in cleaned]
diff --git a/model_data/epc_attributes/FloorAttributes.py b/etl/epc_clean/epc_attributes/FloorAttributes.py
similarity index 96%
rename from model_data/epc_attributes/FloorAttributes.py
rename to etl/epc_clean/epc_attributes/FloorAttributes.py
index 847b183a..6631b4d5 100644
--- a/model_data/epc_attributes/FloorAttributes.py
+++ b/etl/epc_clean/epc_attributes/FloorAttributes.py
@@ -1,7 +1,7 @@
 import re
 from typing import Dict, Union
-from model_data.BaseUtility import Definitions
-from model_data.epc_attributes.attribute_utils import extract_thermal_transmittance, extract_component_types
+from BaseUtility import Definitions
+from etl.epc_clean.epc_attributes.attribute_utils import extract_thermal_transmittance, extract_component_types
 
 
 class FloorAttributes(Definitions):
diff --git a/model_data/epc_attributes/HotWaterAttributes.py b/etl/epc_clean/epc_attributes/HotWaterAttributes.py
similarity index 98%
rename from model_data/epc_attributes/HotWaterAttributes.py
rename to etl/epc_clean/epc_attributes/HotWaterAttributes.py
index c7353ab2..e8bce0bb 100644
--- a/model_data/epc_attributes/HotWaterAttributes.py
+++ b/etl/epc_clean/epc_attributes/HotWaterAttributes.py
@@ -1,6 +1,6 @@
 from typing import Dict, Union
-from model_data.BaseUtility import Definitions
-from model_data.epc_attributes.attribute_utils import clean_description, find_keyword
+from BaseUtility import Definitions
+from etl.epc_clean.epc_attributes.attribute_utils import clean_description, find_keyword
 
 
 class HotWaterAttributes(Definitions):
diff --git a/model_data/epc_attributes/LightingAttributes.py b/etl/epc_clean/epc_attributes/LightingAttributes.py
similarity index 95%
rename from model_data/epc_attributes/LightingAttributes.py
rename to etl/epc_clean/epc_attributes/LightingAttributes.py
index 83e9ef5f..0fe3db16 100644
--- a/model_data/epc_attributes/LightingAttributes.py
+++ b/etl/epc_clean/epc_attributes/LightingAttributes.py
@@ -1,6 +1,6 @@
 import re
-from model_data.epc_attributes.attribute_utils import clean_description
-from model_data.utils import correct_spelling
+from etl.epc_clean.epc_attributes.attribute_utils import clean_description
+from etl.epc_clean.utils import correct_spelling
 
 
 class LightingAttributes:
@@ -27,7 +27,7 @@ class LightingAttributes:
         lel_match2 = re.search(r"goleuadau ynni-isel mewn (\d+)%? o'r mannau gosod", self.description)
 
         if lel_match is not None or lel_match2 is not None:
-            
+
             # Perform the actual translation
             percentage = lel_match.group(1) if lel_match is not None else lel_match2.group(1)
             self.description = f"low energy lighting in {percentage}% of fixed outlets"
diff --git a/model_data/epc_attributes/MainFuelAttributes.py b/etl/epc_clean/epc_attributes/MainFuelAttributes.py
similarity index 96%
rename from model_data/epc_attributes/MainFuelAttributes.py
rename to etl/epc_clean/epc_attributes/MainFuelAttributes.py
index 35059865..72b86482 100644
--- a/model_data/epc_attributes/MainFuelAttributes.py
+++ b/etl/epc_clean/epc_attributes/MainFuelAttributes.py
@@ -1,6 +1,6 @@
 from typing import Dict, Union
-from model_data.BaseUtility import Definitions
-from model_data.epc_attributes.attribute_utils import clean_description, remove_punctuation, find_keyword
+from BaseUtility import Definitions
+from etl.epc_clean.epc_attributes.attribute_utils import clean_description, remove_punctuation, find_keyword
 
 
 class MainFuelAttributes(Definitions):
diff --git a/model_data/epc_attributes/MainheatAttributes.py b/etl/epc_clean/epc_attributes/MainheatAttributes.py
similarity index 98%
rename from model_data/epc_attributes/MainheatAttributes.py
rename to etl/epc_clean/epc_attributes/MainheatAttributes.py
index 9471ee1d..e21f0d37 100644
--- a/model_data/epc_attributes/MainheatAttributes.py
+++ b/etl/epc_clean/epc_attributes/MainheatAttributes.py
@@ -1,5 +1,5 @@
-from model_data.BaseUtility import Definitions
-from model_data.epc_attributes.attribute_utils import clean_description, process_part, switch_chars
+from BaseUtility import Definitions
+from etl.epc_clean.epc_attributes.attribute_utils import clean_description, process_part, switch_chars
 from typing import Dict, Union
 
 
diff --git a/model_data/epc_attributes/MainheatControlAttributes.py b/etl/epc_clean/epc_attributes/MainheatControlAttributes.py
similarity index 98%
rename from model_data/epc_attributes/MainheatControlAttributes.py
rename to etl/epc_clean/epc_attributes/MainheatControlAttributes.py
index 64f5afba..23f39d08 100644
--- a/model_data/epc_attributes/MainheatControlAttributes.py
+++ b/etl/epc_clean/epc_attributes/MainheatControlAttributes.py
@@ -1,6 +1,6 @@
 from typing import Dict, Union
-from model_data.BaseUtility import Definitions
-from model_data.epc_attributes.attribute_utils import clean_description, find_keyword
+from BaseUtility import Definitions
+from etl.epc_clean.epc_attributes.attribute_utils import clean_description, find_keyword
 
 
 class MainheatControlAttributes(Definitions):
diff --git a/model_data/epc_attributes/RoofAttributes.py b/etl/epc_clean/epc_attributes/RoofAttributes.py
similarity index 97%
rename from model_data/epc_attributes/RoofAttributes.py
rename to etl/epc_clean/epc_attributes/RoofAttributes.py
index c83ad98a..9e400235 100644
--- a/model_data/epc_attributes/RoofAttributes.py
+++ b/etl/epc_clean/epc_attributes/RoofAttributes.py
@@ -1,7 +1,7 @@
 import re
 from typing import Dict, Union
-from model_data.BaseUtility import Definitions
-from model_data.epc_attributes.attribute_utils import extract_component_types, extract_thermal_transmittance
+from BaseUtility import Definitions
+from etl.epc_clean.epc_attributes.attribute_utils import extract_component_types, extract_thermal_transmittance
 
 
 class RoofAttributes(Definitions):
diff --git a/model_data/epc_attributes/WallAttributes.py b/etl/epc_clean/epc_attributes/WallAttributes.py
similarity index 98%
rename from model_data/epc_attributes/WallAttributes.py
rename to etl/epc_clean/epc_attributes/WallAttributes.py
index e2f7be07..03fe6d67 100644
--- a/model_data/epc_attributes/WallAttributes.py
+++ b/etl/epc_clean/epc_attributes/WallAttributes.py
@@ -1,7 +1,7 @@
 import re
 from typing import Dict, Union
-from model_data.BaseUtility import Definitions
-from model_data.epc_attributes.attribute_utils import (
+from BaseUtility import Definitions
+from etl.epc_clean.epc_attributes.attribute_utils import (
     extract_component_types,
     extract_thermal_transmittance
 )
diff --git a/model_data/epc_attributes/WindowAttributes.py b/etl/epc_clean/epc_attributes/WindowAttributes.py
similarity index 96%
rename from model_data/epc_attributes/WindowAttributes.py
rename to etl/epc_clean/epc_attributes/WindowAttributes.py
index 361df4d9..e962cd31 100644
--- a/model_data/epc_attributes/WindowAttributes.py
+++ b/etl/epc_clean/epc_attributes/WindowAttributes.py
@@ -1,6 +1,6 @@
 from typing import Dict, Union
-from model_data.BaseUtility import Definitions
-from model_data.epc_attributes.attribute_utils import clean_description
+from BaseUtility import Definitions
+from etl.epc_clean.epc_attributes.attribute_utils import clean_description
 
 
 class WindowAttributes(Definitions):
diff --git a/model_data/simulation_system/MLModel/__init__.py b/etl/epc_clean/epc_attributes/__init__.py
similarity index 100%
rename from model_data/simulation_system/MLModel/__init__.py
rename to etl/epc_clean/epc_attributes/__init__.py
diff --git a/etl/epc_clean/epc_attributes/all_cleaners.py b/etl/epc_clean/epc_attributes/all_cleaners.py
new file mode 100644
index 00000000..e4e0a0ba
--- /dev/null
+++ b/etl/epc_clean/epc_attributes/all_cleaners.py
@@ -0,0 +1,21 @@
+from etl.epc_clean.epc_attributes.FloorAttributes import FloorAttributes
+from etl.epc_clean.epc_attributes.HotWaterAttributes import HotWaterAttributes
+from etl.epc_clean.epc_attributes.MainFuelAttributes import MainFuelAttributes
+from etl.epc_clean.epc_attributes.MainheatAttributes import MainHeatAttributes
+from etl.epc_clean.epc_attributes.MainheatControlAttributes import MainheatControlAttributes
+from etl.epc_clean.epc_attributes.RoofAttributes import RoofAttributes
+from etl.epc_clean.epc_attributes.WallAttributes import WallAttributes
+from etl.epc_clean.epc_attributes.WindowAttributes import WindowAttributes
+from etl.epc_clean.epc_attributes.LightingAttributes import LightingAttributes
+
+all_cleaner_map = {
+    'floor-description': FloorAttributes,
+    'hotwater-description': HotWaterAttributes,
+    'main-fuel': MainFuelAttributes,
+    'mainheat-description': MainHeatAttributes,
+    'mainheatcont-description': MainheatControlAttributes,
+    'roof-description': RoofAttributes,
+    'walls-description': WallAttributes,
+    'windows-description': WindowAttributes,
+    'lighting-description:': LightingAttributes,
+}
diff --git a/model_data/epc_attributes/attribute_utils.py b/etl/epc_clean/epc_attributes/attribute_utils.py
similarity index 100%
rename from model_data/epc_attributes/attribute_utils.py
rename to etl/epc_clean/epc_attributes/attribute_utils.py
diff --git a/model_data/simulation_system/__init__.py b/etl/epc_clean/requirements.txt
similarity index 100%
rename from model_data/simulation_system/__init__.py
rename to etl/epc_clean/requirements.txt
diff --git a/model_data/tests/test_attribute_utils.py b/etl/epc_clean/tests/test_attribute_utils.py
similarity index 96%
rename from model_data/tests/test_attribute_utils.py
rename to etl/epc_clean/tests/test_attribute_utils.py
index 132c4857..f4e74da3 100644
--- a/model_data/tests/test_attribute_utils.py
+++ b/etl/epc_clean/tests/test_attribute_utils.py
@@ -1,5 +1,5 @@
 import pytest
-import model_data.epc_attributes.attribute_utils as attribute_utils
+import etl.epc_clean.epc_attributes.attribute_utils as attribute_utils
 
 
 def test_extract_thermal_transmittance():
diff --git a/model_data/tests/test_data/EpcClean_inputs.obj b/etl/epc_clean/tests/test_data/EpcClean_inputs.obj
similarity index 100%
rename from model_data/tests/test_data/EpcClean_inputs.obj
rename to etl/epc_clean/tests/test_data/EpcClean_inputs.obj
diff --git a/model_data/tests/test_data/test_floor_attributes_cases.py b/etl/epc_clean/tests/test_data/test_floor_attributes_cases.py
similarity index 100%
rename from model_data/tests/test_data/test_floor_attributes_cases.py
rename to etl/epc_clean/tests/test_data/test_floor_attributes_cases.py
diff --git a/model_data/tests/test_data/test_hot_water_attributes_cases.py b/etl/epc_clean/tests/test_data/test_hot_water_attributes_cases.py
similarity index 100%
rename from model_data/tests/test_data/test_hot_water_attributes_cases.py
rename to etl/epc_clean/tests/test_data/test_hot_water_attributes_cases.py
diff --git a/model_data/tests/test_data/test_lighting_attributes_cases.py b/etl/epc_clean/tests/test_data/test_lighting_attributes_cases.py
similarity index 100%
rename from model_data/tests/test_data/test_lighting_attributes_cases.py
rename to etl/epc_clean/tests/test_data/test_lighting_attributes_cases.py
diff --git a/model_data/tests/test_data/test_main_fuel_attributes_cases.py b/etl/epc_clean/tests/test_data/test_main_fuel_attributes_cases.py
similarity index 100%
rename from model_data/tests/test_data/test_main_fuel_attributes_cases.py
rename to etl/epc_clean/tests/test_data/test_main_fuel_attributes_cases.py
diff --git a/model_data/tests/test_data/test_mainheat_attributes_cases.py b/etl/epc_clean/tests/test_data/test_mainheat_attributes_cases.py
similarity index 100%
rename from model_data/tests/test_data/test_mainheat_attributes_cases.py
rename to etl/epc_clean/tests/test_data/test_mainheat_attributes_cases.py
diff --git a/model_data/tests/test_data/test_mainheat_control_attributes_cases.py b/etl/epc_clean/tests/test_data/test_mainheat_control_attributes_cases.py
similarity index 100%
rename from model_data/tests/test_data/test_mainheat_control_attributes_cases.py
rename to etl/epc_clean/tests/test_data/test_mainheat_control_attributes_cases.py
diff --git a/model_data/tests/test_data/test_roof_attributes_cases.py b/etl/epc_clean/tests/test_data/test_roof_attributes_cases.py
similarity index 100%
rename from model_data/tests/test_data/test_roof_attributes_cases.py
rename to etl/epc_clean/tests/test_data/test_roof_attributes_cases.py
diff --git a/model_data/tests/test_data/test_wall_attributes_cases.py b/etl/epc_clean/tests/test_data/test_wall_attributes_cases.py
similarity index 100%
rename from model_data/tests/test_data/test_wall_attributes_cases.py
rename to etl/epc_clean/tests/test_data/test_wall_attributes_cases.py
diff --git a/model_data/tests/test_data/test_window_attributes_cases.py b/etl/epc_clean/tests/test_data/test_window_attributes_cases.py
similarity index 100%
rename from model_data/tests/test_data/test_window_attributes_cases.py
rename to etl/epc_clean/tests/test_data/test_window_attributes_cases.py
diff --git a/model_data/tests/test_epc_clean.py b/etl/epc_clean/tests/test_epc_clean.py
similarity index 95%
rename from model_data/tests/test_epc_clean.py
rename to etl/epc_clean/tests/test_epc_clean.py
index eaa51cb1..a92fe12f 100644
--- a/model_data/tests/test_epc_clean.py
+++ b/etl/epc_clean/tests/test_epc_clean.py
@@ -1,6 +1,6 @@
 import pytest
 import pickle
-from model_data.EpcClean import EpcClean
+from etl.epc_clean.EpcClean import EpcClean
 from pathlib import Path
 
 # For local testing
diff --git a/model_data/tests/test_floor_attributes.py b/etl/epc_clean/tests/test_floor_attributes.py
similarity index 92%
rename from model_data/tests/test_floor_attributes.py
rename to etl/epc_clean/tests/test_floor_attributes.py
index 4b3b2c85..fc60c343 100644
--- a/model_data/tests/test_floor_attributes.py
+++ b/etl/epc_clean/tests/test_floor_attributes.py
@@ -1,6 +1,6 @@
 import pytest
-from model_data.tests.test_data.test_floor_attributes_cases import clean_floor_cases
-from model_data.epc_attributes.FloorAttributes import FloorAttributes
+from etl.epc_clean.tests.test_data.test_floor_attributes_cases import clean_floor_cases
+from etl.epc_clean.epc_attributes.FloorAttributes import FloorAttributes
 
 
 class TestCleanFloor:
diff --git a/model_data/tests/test_hotwater_attributes.py b/etl/epc_clean/tests/test_hotwater_attributes.py
similarity index 89%
rename from model_data/tests/test_hotwater_attributes.py
rename to etl/epc_clean/tests/test_hotwater_attributes.py
index 2df31c51..2809b805 100644
--- a/model_data/tests/test_hotwater_attributes.py
+++ b/etl/epc_clean/tests/test_hotwater_attributes.py
@@ -1,6 +1,6 @@
 import pytest
-from model_data.epc_attributes.HotWaterAttributes import HotWaterAttributes
-from model_data.tests.test_data.test_hot_water_attributes_cases import hotwater_cases
+from etl.epc_clean.epc_attributes.HotWaterAttributes import HotWaterAttributes
+from etl.epc_clean.tests.test_data.test_hot_water_attributes_cases import hotwater_cases
 
 
 class TestHotWaterAttributes:
diff --git a/model_data/tests/test_lighting_attributes.py b/etl/epc_clean/tests/test_lighting_attributes.py
similarity index 94%
rename from model_data/tests/test_lighting_attributes.py
rename to etl/epc_clean/tests/test_lighting_attributes.py
index 38219e86..f3c23e8f 100644
--- a/model_data/tests/test_lighting_attributes.py
+++ b/etl/epc_clean/tests/test_lighting_attributes.py
@@ -1,7 +1,7 @@
 import pandas as pd
 import pytest
-from model_data.tests.test_data.test_lighting_attributes_cases import test_cases
-from model_data.epc_attributes.LightingAttributes import LightingAttributes
+from etl.epc_clean.tests.test_data.test_lighting_attributes_cases import test_cases
+from etl.epc_clean.epc_attributes.LightingAttributes import LightingAttributes
 
 # An example averages dataset to use in tests. It is a dictionary where the key is a lighting description and the
 # value is the expected proportion.
diff --git a/model_data/tests/test_mainfuel_attributes.py b/etl/epc_clean/tests/test_mainfuel_attributes.py
similarity index 88%
rename from model_data/tests/test_mainfuel_attributes.py
rename to etl/epc_clean/tests/test_mainfuel_attributes.py
index cf23cb9f..bface6e2 100644
--- a/model_data/tests/test_mainfuel_attributes.py
+++ b/etl/epc_clean/tests/test_mainfuel_attributes.py
@@ -1,6 +1,6 @@
 import pytest
-from model_data.epc_attributes.MainFuelAttributes import MainFuelAttributes
-from model_data.tests.test_data.test_main_fuel_attributes_cases import mainfuel_cases
+from etl.epc_clean.epc_attributes.MainFuelAttributes import MainFuelAttributes
+from etl.epc_clean.tests.test_data.test_main_fuel_attributes_cases import mainfuel_cases
 
 
 class TestMainHeatControlAttributes:
diff --git a/model_data/tests/test_mainheat_attributes.py b/etl/epc_clean/tests/test_mainheat_attributes.py
similarity index 91%
rename from model_data/tests/test_mainheat_attributes.py
rename to etl/epc_clean/tests/test_mainheat_attributes.py
index 7f70ec6b..f175e821 100644
--- a/model_data/tests/test_mainheat_attributes.py
+++ b/etl/epc_clean/tests/test_mainheat_attributes.py
@@ -1,6 +1,6 @@
 import pytest
-from model_data.epc_attributes.MainheatAttributes import MainHeatAttributes
-from model_data.tests.test_data.test_mainheat_attributes_cases import mainheat_cases
+from etl.epc_clean.epc_attributes.MainheatAttributes import MainHeatAttributes
+from etl.epc_clean.tests.test_data.test_mainheat_attributes_cases import mainheat_cases
 
 
 class TestMainHeatAttributes:
diff --git a/model_data/tests/test_mainheat_controls_attributes.py b/etl/epc_clean/tests/test_mainheat_controls_attributes.py
similarity index 92%
rename from model_data/tests/test_mainheat_controls_attributes.py
rename to etl/epc_clean/tests/test_mainheat_controls_attributes.py
index 3570bafe..7b114107 100644
--- a/model_data/tests/test_mainheat_controls_attributes.py
+++ b/etl/epc_clean/tests/test_mainheat_controls_attributes.py
@@ -1,6 +1,6 @@
 import pytest
-from model_data.epc_attributes.MainheatControlAttributes import MainheatControlAttributes
-from model_data.tests.test_data.test_mainheat_control_attributes_cases import mainheat_control_cases
+from etl.epc_clean.epc_attributes.MainheatControlAttributes import MainheatControlAttributes
+from etl.epc_clean.tests.test_data.test_mainheat_control_attributes_cases import mainheat_control_cases
 
 
 class TestMainHeatControlAttributes:
diff --git a/model_data/tests/test_roof_attributes.py b/etl/epc_clean/tests/test_roof_attributes.py
similarity index 96%
rename from model_data/tests/test_roof_attributes.py
rename to etl/epc_clean/tests/test_roof_attributes.py
index 5b010d90..54b59f1a 100644
--- a/model_data/tests/test_roof_attributes.py
+++ b/etl/epc_clean/tests/test_roof_attributes.py
@@ -1,7 +1,7 @@
 import pytest
 from pathlib import Path
-from model_data.tests.test_data.test_roof_attributes_cases import clean_roof_test_cases
-from model_data.epc_attributes.RoofAttributes import RoofAttributes
+from etl.epc_clean.tests.test_data.test_roof_attributes_cases import clean_roof_test_cases
+from etl.epc_clean.epc_attributes.RoofAttributes import RoofAttributes
 
 # For local testing
 if __file__ == "<input>":
diff --git a/model_data/tests/test_utils.py b/etl/epc_clean/tests/test_utils.py
similarity index 92%
rename from model_data/tests/test_utils.py
rename to etl/epc_clean/tests/test_utils.py
index 224471b8..eb813031 100644
--- a/model_data/tests/test_utils.py
+++ b/etl/epc_clean/tests/test_utils.py
@@ -1,4 +1,4 @@
-from model_data.utils import is_percentage_or_number, correct_spelling
+from etl.epc_clean.utils import is_percentage_or_number, correct_spelling
 
 
 class TestUtils:
diff --git a/model_data/tests/test_wall_attributes.py b/etl/epc_clean/tests/test_wall_attributes.py
similarity index 93%
rename from model_data/tests/test_wall_attributes.py
rename to etl/epc_clean/tests/test_wall_attributes.py
index c8d5eb24..01a60615 100644
--- a/model_data/tests/test_wall_attributes.py
+++ b/etl/epc_clean/tests/test_wall_attributes.py
@@ -1,6 +1,6 @@
 import pytest
-from model_data.epc_attributes.WallAttributes import WallAttributes
-from model_data.tests.test_data.test_wall_attributes_cases import wall_cases
+from etl.epc_clean.epc_attributes.WallAttributes import WallAttributes
+from etl.epc_clean.tests.test_data.test_wall_attributes_cases import wall_cases
 
 
 class TestWallAttributes:
diff --git a/model_data/tests/test_window_attributes.py b/etl/epc_clean/tests/test_window_attributes.py
similarity index 85%
rename from model_data/tests/test_window_attributes.py
rename to etl/epc_clean/tests/test_window_attributes.py
index 137c2313..46ebde45 100644
--- a/model_data/tests/test_window_attributes.py
+++ b/etl/epc_clean/tests/test_window_attributes.py
@@ -1,6 +1,6 @@
 import pytest
-from model_data.epc_attributes.WindowAttributes import WindowAttributes
-from model_data.tests.test_data.test_window_attributes_cases import windows_cases
+from etl.epc_clean.epc_attributes.WindowAttributes import WindowAttributes
+from etl.epc_clean.tests.test_data.test_window_attributes_cases import windows_cases
 
 
 class TestWindowAttributes:
diff --git a/model_data/utils.py b/etl/epc_clean/utils.py
similarity index 100%
rename from model_data/utils.py
rename to etl/epc_clean/utils.py
diff --git a/model_data/LandRegistryClient.py b/etl/land_registry/LandRegistryClient.py
similarity index 100%
rename from model_data/LandRegistryClient.py
rename to etl/land_registry/LandRegistryClient.py
diff --git a/model_data/simulation_system/core/__init__.py b/etl/land_registry/__init__.py
similarity index 100%
rename from model_data/simulation_system/core/__init__.py
rename to etl/land_registry/__init__.py
diff --git a/model_data/tests/__init__.py b/etl/land_registry/app.py
similarity index 100%
rename from model_data/tests/__init__.py
rename to etl/land_registry/app.py
diff --git a/land_registry/sample_addresses.pkl b/etl/land_registry/sample_addresses.pkl
similarity index 100%
rename from land_registry/sample_addresses.pkl
rename to etl/land_registry/sample_addresses.pkl
diff --git a/model_data/tests/test_land_registry_client.py b/etl/land_registry/tests/test_land_registry_client.py
similarity index 96%
rename from model_data/tests/test_land_registry_client.py
rename to etl/land_registry/tests/test_land_registry_client.py
index 97a30641..c03a32fc 100644
--- a/model_data/tests/test_land_registry_client.py
+++ b/etl/land_registry/tests/test_land_registry_client.py
@@ -1,6 +1,6 @@
 import pandas as pd
 from unittest.mock import patch, call
-from model_data.LandRegistryClient import LandRegistryClient
+from etl.land_registry.LandRegistryClient import LandRegistryClient
 
 
 class TestLandRegistryClient:
diff --git a/open_uprn/__init__.py b/etl/property_dimensions/__init__.py
similarity index 100%
rename from open_uprn/__init__.py
rename to etl/property_dimensions/__init__.py
diff --git a/etl/property_dimensions/app.py b/etl/property_dimensions/app.py
new file mode 100644
index 00000000..876d67e2
--- /dev/null
+++ b/etl/property_dimensions/app.py
@@ -0,0 +1,54 @@
+"""
+This is a simple application which estimates some of the basic dimensions of a property based on EPC
+data which we can use as a proxy value if we don't have this information on the EPC
+"""
+import os
+from pathlib import Path
+import pandas as pd
+from tqdm import tqdm
+from etl.epc.settings import EARLIEST_EPC_DATE
+from etl.epc.DataProcessor import DataProcessor
+from BaseUtility import Definitions
+from utils.s3 import save_dataframe_to_s3_parquet
+
+DATA_DIRECTORY = Path(__file__).parent / "local_data" / "all-domestic-certificates"
+
+GROUPBY = ["PROPERTY_TYPE", "BUILT_FORM", "CONSTITUENCY", "CONSTRUCTION_AGE_BAND"]
+
+BUCKET = os.environ.get("BUCKET", "retrofit-data-dev")
+
+
+def app():
+    directories = [entry for entry in DATA_DIRECTORY.iterdir() if entry.is_dir()]
+
+    for directory in tqdm(directories):
+        data = pd.read_csv(directory / "certificates.csv", low_memory=False)
+        data = data[data["LODGEMENT_DATE"] >= EARLIEST_EPC_DATE]
+        data = data[~pd.isnull(data["UPRN"])]
+        data["TOTAL_FLOOR_AREA"] = data["TOTAL_FLOOR_AREA"].astype(float)
+
+        data["CONSTRUCTION_AGE_BAND"] = data["CONSTRUCTION_AGE_BAND"].apply(
+            lambda x: DataProcessor.clean_construction_age_band(x)
+        )
+        data = data[~pd.isnull(data["CONSTRUCTION_AGE_BAND"])]
+        data = data[~data["CONSTRUCTION_AGE_BAND"].isin(Definitions.DATA_ANOMALY_MATCHES)]
+        data = data[~pd.isnull(data["TOTAL_FLOOR_AREA"])]
+        data = data[~pd.isnull(data["NUMBER_HABITABLE_ROOMS"])]
+        data = data[~pd.isnull(data["FLOOR_HEIGHT"])]
+
+        df = (
+            data.groupby(GROUPBY)
+            .agg({"NUMBER_HABITABLE_ROOMS": "median", "TOTAL_FLOOR_AREA": "mean", "FLOOR_HEIGHT": "mean"})
+            .reset_index()
+        )
+
+        local_authority = data["LOCAL_AUTHORITY"].unique()
+        if len(local_authority) > 1:
+            raise Exception("More than one la in data")
+        local_authority = local_authority[0]
+
+        save_dataframe_to_s3_parquet(
+            df=df,
+            bucket_name=BUCKET,
+            file_key=f"property_dimensions/{local_authority}.parquet",
+        )
diff --git a/model_data/BoreholeClient.py b/etl/spatial/BoreholeClient.py
similarity index 98%
rename from model_data/BoreholeClient.py
rename to etl/spatial/BoreholeClient.py
index 831440df..24399775 100644
--- a/model_data/BoreholeClient.py
+++ b/etl/spatial/BoreholeClient.py
@@ -56,7 +56,7 @@ class BoreholeClient:
 
     # EXAMPLE
     # There are ~1.4 million entries in this dataset and so we firstly want to reduce the number of
-    # entries in here if possible before we produce any form of comparison between our properties, to infer
+    # entries in here if possible before we produce any form of comparison between our epc, to infer
     # the distance from the property to the nearest borehole
 
     # Let's take a sample
diff --git a/conservation_areas/ConservationAreaClient.py b/etl/spatial/ConservationAreaClient.py
similarity index 55%
rename from conservation_areas/ConservationAreaClient.py
rename to etl/spatial/ConservationAreaClient.py
index 164042f9..57e94df8 100644
--- a/conservation_areas/ConservationAreaClient.py
+++ b/etl/spatial/ConservationAreaClient.py
@@ -1,12 +1,55 @@
-from enum import Enum
+import boto3
+import os
+import tempfile
 import geopandas as gpd
+import numpy as np
+from enum import Enum
 from shapely.geometry import Point
 from utils.logger import setup_logger
+from utils.s3 import read_io_from_s3
 from datatypes.datatypes import OpenUprnCoordinateData
 
 logger = setup_logger()
 
 
+def read_shapefile_from_s3(bucket_name, s3_file_key):
+    """
+    Read a shapefile from S3 into a GeoDataFrame.
+
+    :param bucket_name: The name of the S3 bucket
+    :param s3_file_key: The file path of the shape file
+    :return: GeoDataFrame containing the shapefile data
+    """
+
+    s3_folder_key = "/".join(s3_file_key.split("/")[:-1])
+    shape_file_key = s3_file_key.split("/")[-1]
+    # Create a temporary directory
+    with tempfile.TemporaryDirectory() as tmpdirname:
+        s3_client = boto3.client('s3')
+
+        # Ensure the temporary directory exists
+        logger.info("Creating temporary directory at %s" % tmpdirname)
+        os.makedirs(tmpdirname, exist_ok=True)
+
+        # List all files in the given S3 folder
+        s3_objects = s3_client.list_objects(Bucket=bucket_name, Prefix=s3_folder_key)['Contents']
+
+        # Download each file to the temporary directory
+        for s3_object in s3_objects:
+            file_key = s3_object['Key']
+            file_name = os.path.basename(file_key)
+            local_file_path = os.path.join(tmpdirname, file_name)
+            # Explicitly create the temporary file
+            with open(local_file_path, 'wb') as tmpfile:
+                s3_client.download_fileobj(bucket_name, file_key, tmpfile)
+
+        # Read the shapefile from the temporary directory into a GeoDataFrame
+        shapefile_path = os.path.join(tmpdirname, shape_file_key)
+        gdf = gpd.read_file(shapefile_path)
+
+    return gdf
+
+
 class ConservationAreaClient:
     """
     Class to interact and manupulate convervation area data. The historic england data
@@ -18,13 +61,14 @@ class ConservationAreaClient:
     """
 
     SOURCES = ["historic_england"]
-    IN_CONSERVATION_AREA = "in_conservation_area"
-    NOT_IN_CONSERVATION_AREA = "not_in_conservation_area"
-    UNKNOWN = "unknown"
+    IN_CONSERVATION_AREA = True
+    NOT_IN_CONSERVATION_AREA = False
+    UNKNOWN = None
 
-    def __init__(self, historic_england_path, gov_path):
+    def __init__(self, historic_england_path, gov_path, bucket):
         self.historic_england_path = historic_england_path
         self.gov_path = gov_path
+        self.bucket = bucket
 
         self.historic_england_data = None
         self.gov_data = None
@@ -34,11 +78,21 @@ class ConservationAreaClient:
         Read the data
         """
         logger.info("Reading in historic england conservation area shapefile")
-        self.historic_england_data = gpd.read_file(self.historic_england_path)
+        self.historic_england_data = read_shapefile_from_s3(
+            bucket_name=self.bucket, s3_file_key=self.historic_england_path
+        )
 
         logger.info("Reading in Govenment conservation area geojson")
-        self.gov_data = gpd.read_file(self.gov_path)
+
+        self.gov_data = gpd.read_file(
+            read_io_from_s3(
+                bucket_name=self.bucket,
+                file_key=self.gov_path
+            )
+        )
         self.gov_data = self.gov_data.drop(columns=["dataset"])
+        # Convert the gov data to british national grid co-ordinates
+        self.gov_data = self.gov_data.to_crs("EPSG:27700")
 
     def is_in_conservation_area(self, coordinates: OpenUprnCoordinateData):
 
@@ -71,6 +125,43 @@ class ConservationAreaClient:
             else:
                 return ConservationAreaClient.UNKNOWN
 
+    def is_in_conservation_area_vectorised(self, uprn_gdf: gpd.GeoDataFrame) -> gpd.GeoDataFrame:
+
+        joined_gdf_he = gpd.sjoin(uprn_gdf, self.historic_england_data, how="left", predicate="within")
+
+        # Identify where we have definitive information (not "unknown")
+        in_conservation_he = ~joined_gdf_he.index_right.isna() & (
+            joined_gdf_he["NAME"] != "No data available for publication by HE"
+        )
+
+        uprn_in_conservation_he = joined_gdf_he[in_conservation_he]["UPRN"].unique()
+        # The right index will be missing when we don't have a match so the uprn is not in a conservation
+        # area
+        uprn_not_in_conservation_he = joined_gdf_he.loc[
+            ~joined_gdf_he["UPRN"].isin(uprn_in_conservation_he) & joined_gdf_he.index_right.isna(),
+            "UPRN"
+        ].unique()
+
+        # For unknowns, check against government data
+        unknown_uprns = uprn_gdf.loc[~uprn_gdf["UPRN"].isin(uprn_in_conservation_he)]["UPRN"]
+        unknown_gdf = uprn_gdf[uprn_gdf["UPRN"].isin(unknown_uprns)]
+
+        joined_gdf_gov = gpd.sjoin(unknown_gdf, self.gov_data, how="left", predicate="within")
+        uprn_in_conservation_gov = joined_gdf_gov.loc[~joined_gdf_gov.index_right.isna(), "UPRN"].unique()
+
+        uprn_gdf['conservation_status'] = self.UNKNOWN
+        uprn_gdf.loc[
+            uprn_gdf["UPRN"].isin(uprn_in_conservation_he), 'conservation_status'
+        ] = self.IN_CONSERVATION_AREA
+        uprn_gdf.loc[
+            uprn_gdf["UPRN"].isin(uprn_not_in_conservation_he), 'conservation_status'
+        ] = self.NOT_IN_CONSERVATION_AREA
+        uprn_gdf.loc[
+            uprn_gdf["UPRN"].isin(uprn_in_conservation_gov), 'conservation_status'
+        ] = self.IN_CONSERVATION_AREA
+
+        return uprn_gdf
+
     def is_in_conservation_area_historic_england(self, x_bng: float, y_bng: float) -> str:
         """
         Check if a property is in a conservation area
diff --git a/etl/spatial/OpenUprnClient.py b/etl/spatial/OpenUprnClient.py
new file mode 100644
index 00000000..7392c4ac
--- /dev/null
+++ b/etl/spatial/OpenUprnClient.py
@@ -0,0 +1,118 @@
+import os
+from tqdm import tqdm
+import pandas as pd
+import geopandas as gpd
+from utils.logger import setup_logger
+from utils.s3 import read_io_from_s3, save_dataframe_to_s3_parquet
+
+logger = setup_logger()
+
+
+class OpenUprnClient:
+    """
+
+    This client reads in the Open UPRN data from s3 which can be downloaded from here:
+    https://osdatahub.os.uk/downloads/open/OpenUPRN
+
+    This dataset contains a lookup of UPRNs to coordinates.
+
+    Specs for this dataset can be found here:
+    https://www.ordnancesurvey.co.uk/documents/product-support/tech-spec/open-uprn-techspec-v1.pdf
+    """
+
+    def __init__(self, path, bucket, uprns=None):
+        self.path = path
+        self.bucket = bucket
+        self.uprns = [int(x) for x in uprns] if uprns else None
+        self.data = None
+
+        # This will be stored in S3 and will be the complete list of filenames
+        # We'll then use this to determine which file the UPRN's data is contained in
+        self.filenames = None
+
+    def read(self):
+        """
+        This methodology is placeholder, while data sits localls
+        :return:
+        """
+        logger.info("Reading in open uprn data")
+
+        df = pd.read_csv(
+            read_io_from_s3(
+                bucket_name=self.bucket,
+                file_key=self.path
+            )
+        )
+        if self.uprns:
+            df = df[df["UPRN"].isin(self.uprns)]
+
+        self.data = df
+
+    def read_local(self):
+        """
+        For local testing
+        :return:
+        """
+        logger.info("Reading in open uprn data")
+
+        df = pd.read_csv(self.path)
+        if self.uprns:
+            df = df[df["UPRN"].isin(self.uprns)]
+
+        self.data = df
+
+    def create_file_partitions(self, partition_size=50000):
+        logger.info("Sorting data by UPRN ascending")
+        self.data = self.data.sort_values("UPRN", ascending=True)
+
+        logger.info("Creating partitions")
+        self.data['partition'] = self.data.index // partition_size
+
+        self.filenames = {}
+        for partition, group in tqdm(self.data.groupby('partition')):
+            min_uprn = group['UPRN'].min()
+            max_uprn = group['UPRN'].max()
+            self.filenames[partition] = f"{min_uprn}_{max_uprn}.parquet"
+
+        self.data['filename'] = self.data['partition'].map(self.filenames)
+
+    @staticmethod
+    def find_filename_for_uprn(uprn, filenames):
+        for filename in filenames:
+            min_uprn, max_uprn = map(int, filename.replace(".parquet", "").split("_"))
+            if min_uprn <= uprn <= max_uprn:
+                return filename
+        return None
+
+    @staticmethod
+    def convert_bng_data_to_gpd(df):
+
+        gpd_data = gpd.GeoDataFrame(
+            df,
+            geometry=gpd.points_from_xy(df.X_COORDINATE, df.Y_COORDINATE),
+            crs="EPSG:27700"  # British National Grid
+        )
+
+        return gpd_data
+
+    def save_filenames_to_s3(self, bucket_name):
+        """
+        Save the filenames to s3
+        :param bucket_name:
+        :return:
+        """
+        file_key = os.path.join("spatial", "filename_meta.parquet")
+
+        filenames = pd.DataFrame({"filenames": list(self.filenames.values())})
+        filenames[['lower', 'upper']] = filenames['filenames'].str.replace('.parquet', '').str.extract(
+            '(\d+)_(\d+)'
+        )
+        filenames['lower'] = filenames['lower'].astype(int)
+        filenames['upper'] = filenames['upper'].astype(int)
+
+        logger.info("Saving filenames to s3 at {}".format(file_key))
+        save_dataframe_to_s3_parquet(
+            df=filenames,
+            file_key=file_key,
+            bucket_name=bucket_name
+        )
diff --git a/etl/spatial/README.md b/etl/spatial/README.md
new file mode 100644
index 00000000..ab68fcd5
--- /dev/null
+++ b/etl/spatial/README.md
@@ -0,0 +1,48 @@
+# Spatial - Geospatial Data Processing Service
+
+## Overview
+
+The Spatial service is designed to read, process, and analyze geospatial data related to
+conservation areas and special buildings. It uses datasets from Historic England and the
+UK government to determine whether a given UPRN (Unique Property Reference Number) is within
+a conservation area or is a listed building. The processed data is saved back to an S3 bucket
+in a parquet format for easy retrieval and further analysis.
+
+## Dependencies
+
+Dependencies are listed in requirements.txt. To install them, run:
+
+```
+pip install -r requirements.txt
+```
+
+## Data Sources
+
+1. **Historic England Conservation Areas**: Shapefile containing polygons of conservation areas.
+2. **UK Government Conservation Areas**: GeoJSON file containing polygons of conservation areas.
+3. **Open UPRN Data**: CSV file with UPRN and corresponding geospatial data.
+4. **Historic England Listed Buildings**: Shapefile with information on listed buildings.
+5. **Historic England Heritage Buildings at Risk**: Shapefile with information on heritage buildings at risk.
+
+## Files
+
+- app.py: Main application file that orchestrates the data processing flow.
+- ConservationAreaClient.py: Handles reading and processing of conservation area data.
+- OpenUprnClient.py: Manages reading and partitioning of Open UPRN data.
+- SpecialBuildingsClient.py: Takes care of reading and processing data related to special buildings.
+- requirements.txt: Lists all Python package dependencies.
+
+## How to Run
+
+1. Make sure you have all the required packages installed.
+2. Update the S3 bucket and file path constants in app.py.
+3. Run app.py.
+
+## Workflow
+
+1. Read the datasets for conservation areas and special buildings.
+2. Read the Open UPRN dataset and partition it into smaller chunks based on UPRN.
+3. For each partition:
+    - Convert UPRN data to geopandas DataFrame.
+    - Check if each UPRN is within a conservation area or is a special building.
+    - Save the processed data back to S3 in parquet format.
\ No newline at end of file
diff --git a/etl/spatial/SpecialBuildingsClient.py b/etl/spatial/SpecialBuildingsClient.py
new file mode 100644
index 00000000..16a9d2d4
--- /dev/null
+++ b/etl/spatial/SpecialBuildingsClient.py
@@ -0,0 +1,114 @@
+import geopandas as gpd
+from shapely.geometry import Point
+from utils.logger import setup_logger
+from etl.spatial.ConservationAreaClient import read_shapefile_from_s3
+from datatypes.datatypes import OpenUprnCoordinateData
+
+logger = setup_logger()
+
+
+class SpecialBuildingsClient:
+    """
+    This class reads in data from Historic England, which can be used to determine if specific buildings are
+    listed or heritage buildings
+    """
+
+    def __init__(self, historic_england_listed_buildings_path, historic_england_heritage_buildings_path, bucket):
+        self.historic_england_listed_buildings_path = historic_england_listed_buildings_path
+        self.historic_england_heritage_buildings_path = historic_england_heritage_buildings_path
+        self.bucket = bucket
+
+        self.historic_england_listed_buildings = None
+        self.historic_england_heritage_buildings = None
+
+    def read(self):
+        """
+        Read the data
+        """
+        logger.info("Reading in historic england listed buildings shapefile")
+        self.historic_england_listed_buildings = read_shapefile_from_s3(
+            bucket_name=self.bucket, s3_file_key=self.historic_england_listed_buildings_path
+        )
+
+        logger.info("Reading in historic england heritage buildings shapefile")
+        self.historic_england_heritage_buildings = read_shapefile_from_s3(
+            bucket_name=self.bucket, s3_file_key=self.historic_england_heritage_buildings_path
+        )
+
+        # Convert the gov data to british national grid co-ordinates
+        self.historic_england_heritage_buildings = self.historic_england_heritage_buildings.to_crs("EPSG:27700")
+
+    def is_listed_building(self, coordinates: OpenUprnCoordinateData) -> bool:
+        """
+        Check if a location specified by British National Grid coordinates is a listed building.
+
+        :param coordinates: dictionary, which should have the OpenUprnCoordinateData format
+        :return: "listed_building" if the location is within a listed building polygon, "not_listed_building" otherwise
+        """
+        # Convert the coordinates to a Shapely Point object
+        point = Point(coordinates.X_COORDINATE, coordinates.Y_COORDINATE)
+
+        # Check if the point is within any of the listed building polygons
+        within_listed_buildings = self.historic_england_listed_buildings.contains(point)
+
+        if within_listed_buildings.any():
+            # If the point is within any listed building polygon, log the names of the buildings and return
+            # "listed_building"
+            names = self.historic_england_listed_buildings.loc[within_listed_buildings, "Name"]
+            logger.info(f"The location is within the following listed buildings: {names.values}")
+            return True
+
+        # If the point is not within any listed building polygon, return "not_listed_building"
+        return False
+
+    def is_listed_building_vectorised(self, uprn_gdf: gpd.GeoDataFrame) -> gpd.GeoDataFrame:
+        # Check against historic England listed buildings data
+        joined_gdf_listed = gpd.sjoin(uprn_gdf, self.historic_england_listed_buildings, how="left", predicate="within")
+
+        # Identify where we have matches
+        uprn_is_listed = joined_gdf_listed[~joined_gdf_listed.index_right.isna()]["UPRN"].unique()
+
+        # Populate the results in the input GeoDataFrame
+        uprn_gdf['is_listed_building'] = False
+        uprn_gdf.loc[uprn_gdf["UPRN"].isin(uprn_is_listed), 'is_listed_building'] = True
+
+        return uprn_gdf
+
+    def is_heritage_building_at_risk(self, coordinates: OpenUprnCoordinateData) -> bool:
+        """
+        Check if a location specified by British National Grid coordinates is a heritage building at risk.
+
+        :param coordinates: dictionary, which should have the OpenUprnCoordinateData format
+        :return: "heritage_building_at_risk" if the location is within a heritage building at risk polygon,
+                 "not_heritage_building_at_risk" otherwise
+        """
+        # Convert the coordinates to a Shapely Point object
+        point = Point(coordinates.X_COORDINATE, coordinates.Y_COORDINATE)
+
+        # Check if the point is within any of the heritage building at risk polygons
+        within_heritage_buildings_at_risk = self.historic_england_heritage_buildings.contains(point)
+
+        if within_heritage_buildings_at_risk.any():
+            # If the point is within any heritage building at risk polygon, log the names of the buildings and return
+            # "heritage_building_at_risk"
+            names = self.historic_england_heritage_buildings.loc[within_heritage_buildings_at_risk, "EntryName"]
+            logger.info(f"The location is within the following heritage buildings at risk: {names.values}")
+            return True
+
+        # If the point is not within any heritage building at risk polygon, return "not_heritage_building_at_risk"
+        return False
+
+    def is_heritage_building_at_risk_vectorised(self, uprn_gdf: gpd.GeoDataFrame) -> gpd.GeoDataFrame:
+        # Check against historic England heritage buildings data
+        joined_gdf_heritage = gpd.sjoin(
+            uprn_gdf, self.historic_england_heritage_buildings, how="left", predicate="within"
+        )
+
+        # Identify where we have matches
+        uprn_is_heritage = joined_gdf_heritage[~joined_gdf_heritage.index_right.isna()]["UPRN"].unique()
+
+        # Populate the results in the input GeoDataFrame
+        uprn_gdf['is_heritage_building'] = False
+        uprn_gdf.loc[uprn_gdf["UPRN"].isin(uprn_is_heritage), 'is_heritage_building'] = True
+
+        return uprn_gdf
diff --git a/etl/spatial/__init__.py b/etl/spatial/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/etl/spatial/app.py b/etl/spatial/app.py
new file mode 100644
index 00000000..d58509dd
--- /dev/null
+++ b/etl/spatial/app.py
@@ -0,0 +1,103 @@
+"""
+This application reads in the open uprn data from a static location and loads it into
+our database for querying from other services
+"""
+
+import os
+from tqdm import tqdm
+import pandas as pd
+from etl.spatial.ConservationAreaClient import ConservationAreaClient
+from etl.spatial.OpenUprnClient import OpenUprnClient
+from etl.spatial.SpecialBuildingsClient import SpecialBuildingsClient
+from utils.logger import setup_logger
+from utils.s3 import save_dataframe_to_s3_parquet
+
+BUCKET = "retrofit-datalake-dev"
+OUTPUT_BUCKET = "retrofit-data-dev"
+HISTORIC_ENGLAND_CONSERVARION_AREAS_PATHNAME = "spatial/Historic_England_Conservation_Areas/Conservation_Areas.shp"
+GOV_CONSERVARION_AREAS_PATHNAME = "spatial/gov-conservation-area.geojson"
+OPEN_UPRN_PATHNAME = "spatial/osopenuprn_202309_csv/osopenuprn_202308.csv"
+HISTORIC_ENGLAND_LISTED_BUILDINGS_PATHNAME = "spatial/National_Heritage_List_for_England_(" \
+                                             "NHLE)/Listed_Building_polygons.shp"
+HISTORIC_ENGLAND_HERITAGE_BUILDINGS_PATHNAME = \
+    "spatial/Historic_England_Heritage_at_Risk_Register_2022/Historic_England_Heritage_at_Risk_Register_2022.shp"
+
+logger = setup_logger()
+
+
+def app():
+    """
+    This application uses the conservation area datasets to determine if a UPRN is
+    in a conservation area or now
+
+    We use two sources of data for determining if homes are in conservation areas.
+    The first is the Historic England dataset, which is a shapefile containing
+    polygons of conservation areas. The second is the gov.uk dataset, which is a
+    geojson file containing polygons of conservation areas.
+
+    The Historic England dataset can be found here:
+    https://historicengland.org.uk/listing/the-list/data-downloads/#aa33785e
+
+    The listed building dataset is also found at Historic England at:
+    https://historicengland.org.uk/listing/the-list/data-downloads/#aa33785e
+
+    The hertitige buildings dataset is also found at Historic England at:
+    https://historicengland.org.uk/listing/the-list/data-downloads/#aa33785e
+
+    The Gov.uk dataset can be found here:
+    https://www.planning.data.gov.uk/dataset/conservation-area
+
+    The open UPRN data can be found here:
+    https://osdatahub.os.uk/downloads/open/OpenUPRN
+
+    The Office for National Statistics Postcode Lookup can be found here:
+    https://geoportal.statistics.gov.uk/datasets/9ac0331178b0435e839f62f41cc61c16/about
+
+    For the moment, these data sources are downloaded manually and uploaded to S3.
+    This application then processes those files and writes the results to s3
+    """
+
+    conservation_area_client = ConservationAreaClient(
+        historic_england_path=HISTORIC_ENGLAND_CONSERVARION_AREAS_PATHNAME,
+        gov_path=GOV_CONSERVARION_AREAS_PATHNAME,
+        bucket=BUCKET
+    )
+    conservation_area_client.read()
+
+    special_buildings_client = SpecialBuildingsClient(
+        historic_england_listed_buildings_path=HISTORIC_ENGLAND_LISTED_BUILDINGS_PATHNAME,
+        historic_england_heritage_buildings_path=HISTORIC_ENGLAND_HERITAGE_BUILDINGS_PATHNAME,
+        bucket=BUCKET
+    )
+    special_buildings_client.read()
+
+    open_uprn_client = OpenUprnClient(
+        path=OPEN_UPRN_PATHNAME,
+        bucket=BUCKET
+    )
+    open_uprn_client.read()
+
+    # We want to sort the data and split it into filenames on UPRN.
+    # We'll split the data into chunks of 50,000
+    open_uprn_client.create_file_partitions()
+
+    logger.info("Extracting spatial data for uprn partitions")
+    to_loop_over = open_uprn_client.data.groupby("filename")
+
+    for filename, uprn_df in tqdm(open_uprn_client.data.groupby("filename"), total=len(to_loop_over)):
+        uprn_gdf = OpenUprnClient.convert_bng_data_to_gpd(uprn_df)
+
+        uprn_gdf = conservation_area_client.is_in_conservation_area_vectorised(uprn_gdf=uprn_gdf)
+        uprn_gdf = special_buildings_client.is_listed_building_vectorised(uprn_gdf=uprn_gdf)
+        uprn_gdf = special_buildings_client.is_heritage_building_at_risk_vectorised(uprn_gdf=uprn_gdf)
+
+        # Convert back to a regular dataframe
+        uprn_gdf = uprn_gdf.drop(columns=["geometry"])
+        uprn_gdf = pd.DataFrame(uprn_gdf)
+
+        save_dataframe_to_s3_parquet(
+            df=uprn_gdf, file_key=os.path.join("spatial", filename), bucket_name=OUTPUT_BUCKET
+        )
+
+    # We finally save the filesnames to s3
+    open_uprn_client.save_filenames_to_s3(bucket_name=OUTPUT_BUCKET)
diff --git a/conservation_areas/requirements.txt b/etl/spatial/requirements.txt
similarity index 100%
rename from conservation_areas/requirements.txt
rename to etl/spatial/requirements.txt
diff --git a/model_data/tests/test_borehole_client.py b/etl/spatial/tests/test_borehole_client.py
similarity index 95%
rename from model_data/tests/test_borehole_client.py
rename to etl/spatial/tests/test_borehole_client.py
index f49733dd..38bf4495 100644
--- a/model_data/tests/test_borehole_client.py
+++ b/etl/spatial/tests/test_borehole_client.py
@@ -1,5 +1,5 @@
 import pytest
-from model_data.BoreholeClient import BoreholeClient
+from etl.spatial.BoreholeClient import BoreholeClient
 
 
 @pytest.fixture
diff --git a/etl/wall_area/__init__.py b/etl/wall_area/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/model_data/simulation_system/area_data.py b/etl/wall_area/app.py
similarity index 99%
rename from model_data/simulation_system/area_data.py
rename to etl/wall_area/app.py
index f43093f1..41b1b159 100644
--- a/model_data/simulation_system/area_data.py
+++ b/etl/wall_area/app.py
@@ -1,5 +1,5 @@
 """
-This script produces the dataset used to model the wall area of properties, which is used to estimate the cost
+This script produces the dataset used to model the wall area of epc, which is used to estimate the cost
 of insulation measures within homes
 """
 import os
diff --git a/model_data/simulation_system/requirements/area_data.txt b/etl/wall_area/requirements.txt
similarity index 100%
rename from model_data/simulation_system/requirements/area_data.txt
rename to etl/wall_area/requirements.txt
diff --git a/infrastructure/terraform/main.tf b/infrastructure/terraform/main.tf
index 399a6ff5..79fe015e 100644
--- a/infrastructure/terraform/main.tf
+++ b/infrastructure/terraform/main.tf
@@ -83,7 +83,7 @@ resource "aws_db_instance" "default" {
   publicly_accessible = true
 }
 
-# Set up the bucket that recieve the csv uploads of properties to be retrofit
+# Set up the bucket that recieve the csv uploads of epc to be retrofit
 module "s3_presignable_bucket" {
   source          = "./modules/s3_presignable_bucket"
   bucketname      = "retrofit-plan-inputs-${var.stage}"
diff --git a/input_property_list.csv b/input_property_list.csv
new file mode 100644
index 00000000..dc677c88
--- /dev/null
+++ b/input_property_list.csv
@@ -0,0 +1,12 @@
+address,postcode,Notes,,,,
+28 Distillery Wharf,W6 9bf,,,,,
+Flat 14 Godley V C House,E2 0LP,,,,,
+49 Elderfield Road,E5 0LF,,,,,
+26 Stanhope Road,N6 5NG,,,,,
+Flat 3 Frederick Building,N1 4BD,,,,,
+Flat 4 Frederick Building,N1 4BD,,,,,
+"Flat 28, 22 Adelina Grove",E1 3BX,,,,,
+"Flat 39, 239 Long Lane",SE1 4PT,,,,,
+"1, Westview, Somerby",LE14 2QH,This property has an unfilled cavity,,,,
+"59, Ashdale",CM23 4EB,This property has a partially filled cavity,,,,
+88 Cleveland Avenue,DL3 7BE,This property has a filled cavity,,,,
\ No newline at end of file
diff --git a/model_data/README.md b/model_data/README.md
deleted file mode 100644
index 278b3f99..00000000
--- a/model_data/README.md
+++ /dev/null
@@ -1,49 +0,0 @@
-# Environment setup
-
-We're using conda to manage environments to circumvent the
-issues with Mac M1. This documentation will also cover Pycharm setup.
-
-We're working in python 3.10 so
-
-```commandline
-conda create -n hestia-data python=3.10
-```
-
-Then activate the environment
-
-```commandline
-conda activate hestia-data
-```
-
-To set up with Pycharm, run
-
-```commandline
-which python
-```    
-
-and grab the path to the python executable. Then in Pycharm, go to
-Settings > Project > Python Interpreter and click the gear icon
-to add a new interpreter. Select Conda and either paste the path to the python executable
-and click OK, or select the conda environment from the dropdown.
-
-You may need to restart Pycharm for the new interpreter to be recognised.
-
-To install project dependencies navigate to /model_data and run
-
-```commandline
-pip install -r requirements.txt
-```
-
-### Running Tests
-
-If you are not in a virtual environment, activate it with
-
-```commandline
-conda activate envName
-```
-
-Then run
-
-```commandline
-pytest --cov-config=model_data/.coveragerc --cov=model_data
-```
\ No newline at end of file
diff --git a/model_data/analysis/SapModel.py b/model_data/analysis/SapModel.py
deleted file mode 100644
index 021e503d..00000000
--- a/model_data/analysis/SapModel.py
+++ /dev/null
@@ -1,650 +0,0 @@
-import numpy as np
-import pandas as pd
-import statsmodels.api as sm
-import matplotlib.pyplot as plt
-from typing import Dict, Optional, List
-from sklearn.model_selection import train_test_split
-from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score, explained_variance_score, \
-    median_absolute_error, mean_absolute_percentage_error
-from sklearn.ensemble import RandomForestRegressor
-from sklearn.inspection import permutation_importance
-from model_data.EpcClean import EpcClean
-
-from statsmodels.stats.outliers_influence import variance_inflation_factor
-from tqdm import tqdm
-from utils.logger import setup_logger
-
-logger = setup_logger()
-
-
-class SapModel:
-    # We want to estimate for making improvements on different property components
-    RESPONSE = "current-energy-efficiency"
-    # We could potentially  build models by constituency to avoid having too many
-    # features in the model
-    BASE_FEATURES = [
-        "property-type",
-        "built-form",
-        "construction-age-band",
-        "number-habitable-rooms",
-        "constituency",
-        "number-heated-rooms",
-        "transaction-type"
-    ]
-
-    COMPONENT_FEATURES = [
-        "walls-description",
-        "floor-description",
-        "lighting-description",
-        "roof-description",
-        "mainheat-description",
-        "hotwater-description",
-        "main-fuel",
-        "mechanical-ventilation",
-        "secondheat-description",
-        "energy-tariff",
-        "solar-water-heating-flag",
-        "photo-supply",
-        "windows-description",
-        "glazed-type",
-        "glazed-area",
-        "multi-glaze-proportion",
-        # "lighting-description"  # Might not need to use this
-        "low-energy-lighting",
-        "number-open-fireplaces",
-        "mainheatcont-description",
-        "fixed-lighting-outlets-count",
-        "floor-height",
-        "floor-level",
-        "total-floor-area",
-        "extension-count",
-    ]
-
-    CATEGORICAL_COLS = [
-        "property-type",
-        "built-form",
-        "number-habitable-rooms",
-        "constituency",
-        "number-heated-rooms",
-        "mainheat-description",
-        "hotwater-description",
-        "main-fuel",
-        "mechanical-ventilation",
-        "secondheat-description",
-        "energy-tariff",
-        "solar-water-heating-flag",
-        "windows-description",
-        "glazed-type",
-        "glazed-area",
-        "construction-age-band",
-        "lighting-description",
-        "mainheatcont-description",
-        "floor-level",
-    ]
-
-    NUMERICAL_COLUMNS = [
-        "photo-supply", "multi-glaze-proportion", "low-energy-lighting", "number-open-fireplaces",
-        "fixed-lighting-outlets-count",
-        "floor-height",
-        "total-floor-area",
-        "extension-count",
-    ]
-
-    # For the moment, we store records of the best performing models as a benchmark for future imporvements
-    BEST_FIT = {
-        'MAPE': 0.04646530042225876, 'Mean Squared Error': 18.635209563729763,
-        'Mean Absolute Error': 2.856347408023325, 'R2 Score': 0.800701753826118,
-        'Explained Variance Score': 0.800701753826118, 'Median Absolute Error': 1.9026758012120197
-    }
-
-    BEST_PREDICT = {
-        'MAPE': 0.04346083528432316, 'Mean Squared Error': 21.16036509335514,
-        'Mean Absolute Error': 3.0440540802375833, 'R2 Score': 0.7219965012634312,
-        'Explained Variance Score': 0.7220620137390414, 'Median Absolute Error': 1.9031967986967828
-    }
-
-    BEST_FINAL = {
-        'MAPE': 0.04841470773386795, 'Mean Squared Error': 21.323052316630914, 'Mean Absolute Error': 2.988547998636157,
-        'R2 Score': 0.7633662459299112, 'Explained Variance Score': 0.7633785339028832,
-        'Median Absolute Error': 1.9487883489495985
-    }
-
-    BUCKET_VARIABLES = [
-        "number-open-fireplaces", "fixed-lighting-outlets-count", 'extension-count', 'multi-glaze-proportion'
-    ]
-
-    def __init__(
-        self, data: List[Dict],
-        cleaner: EpcClean,
-        test_size: Optional[float] = 0.2,
-        random_state: Optional[int] = None
-    ):
-        self.df = pd.DataFrame(data)
-        self.cleaner = cleaner
-        self.random_state = random_state if random_state is not None else 42
-        self.test_size = 0.2 if test_size is None else test_size
-
-        self.model_data = None
-        self.train_x = None
-        self.train_y = None
-        self.test_x = None
-        self.test_y = None
-
-        self.test_model = None
-        self.final_model = None
-
-        self.fit_error = None
-        self.predict_error = None
-        self.final_error = None
-        self.worst = {
-            "fit_errors": pd.DataFrame(),
-            "prediction_errors": pd.DataFrame(),
-            "fit_x": pd.DataFrame(),
-            "prediction_x": pd.DataFrame(),
-            "final_errors": pd.DataFrame(),
-            "final_x": pd.DataFrame(),
-        }
-
-        self.fit_df = None
-        self.predict_df = None
-        self.final_fit_df = None
-        self.diagnosis = {}
-
-    def run(self, plot: bool = False) -> None:
-        """
-        A pipeline method to run all necessary methods in correct order.
-        :param plot: Boolean to indicate whether to plot the regression
-        """
-        try:
-            self.create_dataset()
-            self.fit_model()
-            if plot:
-                self.plot_regression(self.fit_df)
-        except Exception as e:
-            logger.error("An error occurred during execution.")
-            logger.error(str(e))
-
-    def _merge_with_u_values(
-        self, model_data: pd.DataFrame, description: str, thermal_transmittance: str
-    ) -> pd.DataFrame:
-
-        """
-        Utility function to merge u value data with model data
-        :param model_data: Pandas dataframe which is the main modelling dataset
-        :param description: Name of the description column for which we're merging u-values onto
-        :param thermal_transmittance: Name of the thermal transmittance column
-        :return:
-        """
-
-        u_values = pd.DataFrame(self.cleaner.cleaned[f"{description}-description"])[
-            ["original_description", thermal_transmittance]].rename(
-            columns={thermal_transmittance: f"{description}_u_value"}
-        )
-
-        model_data = model_data.merge(
-            u_values,
-            how="left",
-            left_on=f"{description}-description",
-            right_on="original_description"
-        ).drop(columns=["original_description"])
-
-        return model_data
-
-    def _append_cleaned_data(self, model_data: pd.DataFrame) -> pd.DataFrame:
-        """
-        Appends cleaned data into the model data.
-        :param model_data: Original model data.
-        :return: Model data with cleaned data appended.
-        """
-        for description in ["walls", "floor", "roof"]:
-            model_data = self._merge_with_u_values(model_data, description, "thermal_transmittance")
-
-        # lighting_proportions added separately as it doesn't use the _merge_with_u_values method
-        lighting_proportions = pd.DataFrame(self.cleaner.cleaned["lighting-description"])[
-            ["original_description", "low_energy_proportion"]]
-
-        model_data = model_data.merge(
-            lighting_proportions,
-            how="left",
-            left_on="lighting-description",
-            right_on="original_description"
-        ).drop(columns=["original_description"])
-
-        return model_data
-
-    @staticmethod
-    def _convert_transaction_type(model_data: pd.DataFrame) -> pd.DataFrame:
-        """
-        Converts transaction type to boolean
-        :param model_data: Model data with transaction type.
-        :return: Model data with converted transaction type.
-        """
-        model_data["is_rdsap"] = model_data["transaction-type"] != "new dwelling"
-        model_data = model_data.drop(columns=["transaction-type"])
-        return model_data
-
-    @staticmethod
-    def bucket_and_fill(df: pd.DataFrame, column_name: str, n_bins: int = 10) -> pd.DataFrame:
-        """
-        Simple utility function to bucket up features into bins and then fill any missing values with "NO_RECORD"
-        :param df: Dataframe of features to be binned
-        :param column_name: Name of the column to be binned
-        :param n_bins: Number of bins to use
-        :return: Dataframe with binned column
-        """
-        # Check if the column is numerical
-        if np.issubdtype(df[column_name].dtype, np.number):
-            # Create a new categorical column from numerical one by binning the data
-            df[column_name + "_bucket"] = pd.cut(df[column_name], bins=n_bins).astype(str)
-            # Replace missing data with "NO_RECORD"
-            df[column_name + "_bucket"] = df[column_name + "_bucket"].fillna("NO_RECORD")
-            df[column_name + "_bucket"] = np.where(
-                df[column_name + "_bucket"] == "nan",
-                "NO_RECORD",
-                df[column_name + "_bucket"]
-            )
-        return df
-
-    def _clean_numericals(self, model_data):
-
-        # Try binning numericals
-        remaining_numericals = [x for x in self.NUMERICAL_COLUMNS if x not in self.BUCKET_VARIABLES]
-
-        for col in self.BUCKET_VARIABLES:
-            model_data[col] = pd.to_numeric(model_data[col], errors='coerce')
-            # If all values are missing, set all values to 0 - this column will get dropped
-            if all(pd.isnull(model_data[col])):
-                model_data[col + "_bucket"] = "NO_RECORD"
-                continue
-            model_data = self.bucket_and_fill(model_data, col)
-
-        # Replace the data with the binned version
-        model_data = model_data.drop(columns=self.BUCKET_VARIABLES)
-        model_data = model_data.rename(
-            columns=dict(zip([c + "_bucket" for c in self.BUCKET_VARIABLES], self.BUCKET_VARIABLES))
-        )
-
-        # Basic fill the rest of the columns with 0 - currenrtly this provided the best performance
-        for col in remaining_numericals:
-            model_data[col] = np.where(
-                model_data[col] == "", "0", model_data[col]
-            ).astype(float)
-
-        return model_data
-
-    @staticmethod
-    def clean_missings(model_data: pd.DataFrame) -> pd.DataFrame:
-        """
-        Fills categorical missing data with sensible values
-        :param model_data: Original model data.
-        :return: Model data with cleaned categorical data.
-        """
-
-        # Cleaning of energy-tariff and construction-age-band hurt prediction performance, indicating there is
-        # potentially
-        # a notable difference between a "" missing and a "NO DATA!" missing, worth differentiating
-
-        model_data["mechanical-ventilation"] = np.where(
-            model_data["mechanical-ventilation"] == "", "NO DATA!", model_data["mechanical-ventilation"]
-        )
-
-        model_data["solar-water-heating-flag"] = np.where(
-            model_data["solar-water-heating-flag"] == "", "N", model_data["solar-water-heating-flag"]
-        )
-
-        model_data["glazed-type"] = np.where(
-            model_data["glazed-type"] == "", "NO DATA!", model_data["glazed-type"]
-        )
-
-        model_data["glazed-area"] = np.where(
-            model_data["glazed-area"] == "", "NO DATA!", model_data["glazed-type"]
-        )
-
-        return model_data
-
-    def create_dataset(self):
-        logger.info("Creating modelling dataset")
-        model_data = self.df[[self.RESPONSE] + self.COMPONENT_FEATURES + self.BASE_FEATURES]
-        model_data = model_data.reset_index(drop=True)
-        model_data["idx"] = model_data.index.copy()
-
-        # Append on u-values
-        model_data = self._append_cleaned_data(model_data)
-
-        model_data = self.clean_missings(model_data)
-
-        # Convert transaction_type
-        model_data = self._convert_transaction_type(model_data)
-
-        # Clean numerical columns
-        model_data = self._clean_numericals(model_data)
-
-        # Take just entries with U-values
-        # TODO: Rather than doing this, do we want to include the estimated u-values?
-        #       Since this ends up with just 2k entries
-        model_data = model_data[
-            ~pd.isnull(model_data["walls_u_value"]) &
-            ~pd.isnull(model_data["floor_u_value"]) &
-            ~pd.isnull(model_data["roof_u_value"])
-            ]
-
-        exclude_features = [
-            "walls-description", "floor-description", "roof-description", "transaction-type"
-        ]
-
-        features = [
-            x for x in self.BASE_FEATURES + self.COMPONENT_FEATURES + [
-                "walls_u_value", "floor_u_value", "roof_u_value", self.RESPONSE, "idx", "is_rdsap"
-            ] if x not in exclude_features
-        ]
-
-        model_data = model_data[features]
-
-        for col in self.CATEGORICAL_COLS:
-            model_data[col] = model_data[col].astype('category')
-
-        # Convert response
-        model_data[self.RESPONSE] = model_data[self.RESPONSE].astype(float)
-
-        self.model_data = model_data
-
-    def make_training_test(self, x):
-        # Split into training and test
-        self.train_x, self.test_x, self.train_y, self.test_y = train_test_split(
-            x.drop(self.RESPONSE, axis=1),
-            x[self.RESPONSE],
-            test_size=self.test_size,
-            random_state=self.random_state
-        )
-
-    @staticmethod
-    def remove_zero_std_cols(train_x, test_x=None, threshold=1e-3):
-        """
-        Utility function to remove columns that have zero standard deviation from both test and train sets
-        :param train_x: Training data to remove columns from
-        :param test_x: If provided, remove the same columns from the test data
-        :param threshold: float value, if the standard deviation is below this threshold, the column is considered
-                             to have zero standard deviation
-        :return: Tuple of train_x and test_x (if provided). If test_x is not provided, a null placeholder is returned
-        """
-        # Compute standard deviations
-        std_devs = train_x.std()
-
-        # Find columns with zero or near-zero standard deviation
-        zero_std_cols = std_devs[std_devs <= threshold].index
-
-        # Drop these columns from the training data
-        train_x = train_x.drop(zero_std_cols, axis=1)
-
-        if test_x is not None:
-            # Ensure the test data has the same columns
-            test_x = test_x[train_x.columns]
-            return train_x, test_x
-
-        return train_x, None
-
-    def fit_model(self):
-        """
-        Main function to fit the model and produce accuracy metrics
-        """
-
-        x = pd.get_dummies(self.model_data, columns=self.CATEGORICAL_COLS + self.BUCKET_VARIABLES, drop_first=True)
-
-        # Convert booleans to integer
-        for col in x.columns:
-            if x[col].dtype == bool:
-                x[col] = x[col].astype(int)
-
-            if x[col].dtype == object:
-                x[col] = x[col].astype(float)
-
-        # Create the training and test sets for each run
-        self.make_training_test(x)
-        self.train_x, self.test_x = self.remove_zero_std_cols(self.train_x, self.test_x)
-        logger.info("Detecting multi-collinearity in training dataset")
-        self.detect_multi_collinearity()
-
-        # Add a constant to the independent value
-        train_x = sm.add_constant(self.train_x)
-        test_x = sm.add_constant(self.test_x)
-        train_idx = train_x["idx"].copy()
-        test_idx = self.test_x["idx"].copy()
-        train_x = train_x.drop(columns=["idx"])
-        test_x = test_x.drop(columns=["idx"])
-
-        logger.info("Fitting testing model")
-        # make regression model
-        model = sm.OLS(self.train_y, train_x)
-        # fit model and print results
-        self.test_model = model.fit()
-
-        train_predictions = self.test_model.fittedvalues
-        test_predictions = self.test_model.predict(test_x)
-
-        self.fit_error, self.worst["fit_errors"] = self.calculate_regression_metrics(
-            y_true=self.train_y, y_pred=train_predictions
-        )
-
-        # Predict on new data
-        self.predict_error, self.worst["prediction_errors"] = self.calculate_regression_metrics(
-            y_true=self.test_y, y_pred=test_predictions
-        )
-
-        fit_success = self.check_successes(self.fit_error, self.BEST_FIT)
-        predict_success = self.check_successes(self.predict_error, self.BEST_PREDICT)
-
-        self.model_data['fit'] = self.test_model.fittedvalues
-        # The worst errors over index heavily for flats
-        self.worst["fit_x"] = self.model_data[self.model_data.index.isin(self.worst["fit_errors"].index)]
-        self.worst["prediction_x"] = self.model_data[self.model_data.index.isin(self.worst["prediction_errors"].index)]
-
-        self.fit_df = pd.DataFrame(
-            {
-                "fit": train_predictions,
-                "actual": self.train_y,
-                "idx": train_idx
-            }
-        ).sort_values("actual", ascending=True)
-
-        self.predict_df = pd.DataFrame(
-            {
-                "predictions": test_predictions,
-                "actual": self.test_y,
-                "idx": test_idx
-            }
-        )
-
-        self.diagnosis = {
-            "fit_success": fit_success,
-            "predict_success": predict_success,
-            "summary": self.test_model.summary()
-        }
-
-        # We're now ready to fit the final model
-        # For the momeent, the pre-processing at the top of this function merely removes columns, so we
-        # just need to remove the columns that were removed from the training data from the final model
-        logger.info("Fitting final model")
-        x = sm.add_constant(x)
-        y = x[self.RESPONSE]
-        x = x[self.train_x.columns]
-        idx = x["idx"].copy()
-        x = x.drop(columns=["idx"])
-
-        final_model = sm.OLS(y, x)
-        # fit model and print results
-        self.final_model = final_model.fit()
-        final_predictions = self.final_model.fittedvalues
-
-        self.final_error, self.worst["final_errors"] = self.calculate_regression_metrics(
-            y_true=y, y_pred=final_predictions
-        )
-
-        self.final_fit_df = pd.DataFrame(
-            {
-                "fit": final_predictions,
-                "actual": y,
-                "idx": idx
-            }
-        ).sort_values("actual", ascending=True)
-
-    @staticmethod
-    def check_successes(experiment_error, best_error):
-        """
-        Simple function to check if the experiment error is better than the best error
-        :param experiment_error:    output of calculate_regression_metrics() on the experiment
-        :param best_error:          Current benchmark best error
-        :return:
-        """
-
-        successes = []
-        for k in experiment_error:
-            if k in ["Explained Variance Score", "R2 Score"]:
-                # We want to maximise this so we want experiment error to be higher
-                successes.append(
-                    {
-                        "measure": k,
-                        "success": experiment_error[k] >= best_error[k],
-                        "difference": abs(experiment_error[k] - best_error[k])
-                    }
-                )
-                continue
-            successes.append(
-                {
-                    "measure": k,
-                    "success": experiment_error[k] <= best_error[k],
-                    "difference": abs(experiment_error[k] - best_error[k])
-                }
-            )
-
-        return pd.DataFrame(successes)
-
-    def rf_importance(self, train_x, train_y, test_x, test_y):
-        """
-        Utility function to estimate feature importance using a random forest
-        This is useful to get a sense of some of the key features which are driving model
-        performance
-
-        :param train_x: Training data covariates to build the importance model on
-        :param train_y: Training data response to build the importance model on
-        :param test_x:  Test data covariates to build the permutation importance model on
-        :param test_y:  Test data response to build the permutation importance model on
-        :return: Pandas dataframe of feature importances, ranked by most important to least
-        """
-
-        rf = RandomForestRegressor(random_state=self.random_state)
-        rf.fit(train_x, train_y)
-
-        # Print the name and importance of each feature
-        rf_importance_df = []
-        for feature, importance in zip(train_x.columns, rf.feature_importances_):
-            rf_importance_df.append(
-                {
-                    "Feature": feature,
-                    "rf_importance": importance
-                }
-            )
-        rf_importance_df = pd.DataFrame(rf_importance_df)
-        rf_importance_df = rf_importance_df.sort_values(by="rf_importance", ascending=False)
-
-        perm_importance = self.permuation_importance(rf, test_x, test_y)
-
-        return rf_importance_df, perm_importance
-
-    @staticmethod
-    def permuation_importance(rf, test_x, test_y):
-        """
-        Simple utility function to produce permutation importance for a given model\
-        :param rf: Random forest model to calculate permutation importance for
-        :param test_x: Test covariates to be used for permutation importance
-        :param test_y: Test response to be used for permutation importance
-        :return:
-        """
-        perm_importance = permutation_importance(rf, test_x, test_y, scoring='neg_mean_squared_error')
-        perm_importance_df = pd.DataFrame(
-            {
-                "Feature": test_x.columns,
-                "perm_importance": perm_importance.importances_mean
-            }
-        ).sort_values(by="perm_importance", ascending=False)
-
-        return perm_importance_df
-
-    def detect_multi_collinearity(self):
-        # Get the VIFs for each variable
-        vifs = pd.DataFrame()
-        vifs["features"] = self.train_x.columns
-        vifs["vif"] = [variance_inflation_factor(self.train_x.values, i) for i in tqdm(range(self.train_x.shape[1]))]
-
-        # Get the features with the highest VIF
-        vifs = vifs.sort_values("vif", ascending=False)
-
-        # There are some features, we do not want to remove
-        required_features = [
-            "walls_u_value", "floor_u_value", "roof_u_value", "idx", "is_rdsap"
-        ]
-
-        vifs = vifs[~vifs["features"].isin(required_features)]
-        drop_vifs = vifs[np.isinf(vifs["vif"])]
-
-        # Acceptable drop variables:
-        # main-fuel_Gas: mains gas
-        # glazed-type_NO DATA!
-        # glazed-area_NO DATA!
-
-        self.train_x = self.train_x.drop(columns=drop_vifs["features"].values)
-        self.test_x = self.test_x[self.train_x.columns]
-
-    @staticmethod
-    def plot_regression(df):
-        # Extract the "fit" and "actual" columns from the dataframe
-        fit = df['fit']
-        actual = df['actual']
-
-        # Create an array of x-values (assumed to be sequential integers)
-        x = np.arange(len(df))
-
-        # Plot the fit and actual data
-        plt.plot(x, fit, color='red', label='Fit')
-        plt.plot(x, actual, color='blue', label='Actual')
-
-        # Set labels and title
-        plt.xlabel('Index')
-        plt.ylabel('Value')
-        plt.title('Linear Regression - Fit vs Actual')
-
-        # Display legend
-        plt.legend()
-
-        # Show the plot
-        plt.show()
-
-    @staticmethod
-    def calculate_regression_metrics(y_true, y_pred, n=20):
-        """
-        Calculate the 5 most important accuracy metrics for regression.
-
-        Args:
-            y_true (array-like): Array of true target values.
-            y_pred (array-like): Array of predicted target values.
-
-        Returns:
-            dict: Dictionary containing the calculated metrics.
-        """
-        metrics = {
-            'MAPE': mean_absolute_percentage_error(y_true, y_pred),
-            'Mean Squared Error': mean_squared_error(y_true, y_pred),
-            'Mean Absolute Error': mean_absolute_error(y_true, y_pred),
-            'R2 Score': r2_score(y_true, y_pred),
-            'Explained Variance Score': explained_variance_score(y_true, y_pred),
-            'Median Absolute Error': median_absolute_error(y_true, y_pred)
-        }
-
-        errors = pd.DataFrame()
-        errors['Fit'] = y_true
-        errors['Actual'] = y_pred
-        errors['Residual'] = errors['Actual'] - errors['Fit']
-        errors['Absolute Residual'] = np.abs(errors['Residual'])
-
-        worst_errors = errors.nlargest(n, 'Absolute Residual')
-
-        return metrics, worst_errors
diff --git a/model_data/analysis/UvalueEstimations.py b/model_data/analysis/UvalueEstimations.py
deleted file mode 100644
index 0a1441bb..00000000
--- a/model_data/analysis/UvalueEstimations.py
+++ /dev/null
@@ -1,207 +0,0 @@
-import pickle
-import pandas as pd
-import numpy as np
-from model_data.EpcClean import EpcClean
-
-
-class UvalueEstimations:
-    def __init__(self, data: list):
-        """
-        Initialize the UvalueEstimations class.
-
-        :param data: The input data as a list of dictionaries, to be converted to a dataframe
-        """
-        self.data = pd.DataFrame(data)
-        self.walls = None
-        self.walls_decile_data = {}
-        self.roofs = None
-        self.floors = None
-        self.floors_decile_data = {}
-
-    def get_estimates(self, cleaner: EpcClean):
-        """
-        Calculate U-value estimates for walls, roofs, and floors.
-
-        :param cleaner: An instance of the EpcClean class used for cleaning data.
-        """
-        self.set_walls(cleaner)
-        self.set_roofs(cleaner)
-        self.set_floors(cleaner)
-
-    def set_walls(self, cleaner: EpcClean):
-        """
-        Set U-value estimates for walls.
-
-        :param cleaner: An instance of the EpcClean class used for cleaning data.
-        """
-        walls_columns = [
-            "local-authority", "property-type", "walls-description", "walls-energy-eff", "walls-env-eff", "built-form",
-            "total-floor-area", "number-habitable-rooms", "number-heated-rooms"
-        ]
-
-        walls_df = self.data[self.data["walls-description"].str.contains("Average thermal transmittance")]
-
-        # Take just the columns we want
-        walls_df = walls_df[walls_columns]
-        walls_df["total-floor-area"] = walls_df["total-floor-area"].astype(float)
-
-        walls_df, decile_labels, decile_boundaries = self.classify_into_deciles(walls_df, "total-floor-area")
-
-        # We now get the U-values
-        walls_df = walls_df.merge(
-            pd.DataFrame(cleaner.cleaned['walls-description'])[["original_description", "thermal_transmittance"]],
-            how="left",
-            right_on="original_description",
-            left_on="walls-description"
-        )
-
-        u_value_summary = walls_df.groupby(
-            [
-                "local-authority",
-                "property-type",
-                "walls-energy-eff",
-                "walls-env-eff",
-                "built-form",
-                "number-habitable-rooms",
-                "number-heated-rooms",
-                "total-floor-area_group"
-            ],
-            observed=True
-        ).agg({"thermal_transmittance": ["median", "size"]}).reset_index()
-
-        u_value_summary.columns = [
-            "local-authority",
-            "property-type",
-            "walls-energy-eff",
-            "walls-env-eff",
-            "built-form",
-            "number-habitable-rooms",
-            "number-heated-rooms",
-            "total-floor-area_group",
-            "median_thermal_transmittance",
-            "n_samples"
-        ]
-
-        self.walls = u_value_summary
-        self.walls_decile_data = {
-            "decile_labels": decile_labels,
-            "decile_boundaries": decile_boundaries
-        }
-
-    def set_roofs(self, cleaner: EpcClean):
-        """
-        Set U-value estimates for roofs.
-
-        :param cleaner: An instance of the EpcClean class used for cleaning data.
-        """
-        pass
-
-    def set_floors(self, cleaner: EpcClean):
-        """
-        Set U-value estimates for floors.
-
-        :param cleaner: An instance of the EpcClean class used for cleaning data.
-        """
-        floors_columns = [
-            "local-authority", "property-type", "floor-description", "floor-energy-eff", "floor-env-eff",
-            "built-form",
-            "total-floor-area", "number-habitable-rooms", "number-heated-rooms"
-        ]
-
-        floors_df = self.data[self.data["floor-description"].str.contains("Average thermal transmittance")]
-
-        # Take just the columns we want
-        floors_df = floors_df[floors_columns]
-        floors_df["total-floor-area"] = floors_df["total-floor-area"].astype(float)
-
-        floors_df, decile_labels, decile_boundaries = self.classify_into_deciles(floors_df, "total-floor-area")
-
-        # We now get the U-values
-        floors_df = floors_df.merge(
-            pd.DataFrame(cleaner.cleaned['floor-description'])[["original_description", "thermal_transmittance"]],
-            how="left",
-            right_on="original_description",
-            left_on="floor-description"
-        )
-
-        u_value_summary = floors_df.groupby(
-            [
-                "local-authority",
-                "property-type",
-                "floor-energy-eff",
-                "floor-env-eff",
-                "built-form",
-                "number-habitable-rooms",
-                "number-heated-rooms",
-                "total-floor-area_group"
-            ],
-            observed=True
-        ).agg({"thermal_transmittance": ["median", "size"]}).reset_index()
-
-        u_value_summary.columns = [
-            "local-authority",
-            "property-type",
-            "floor-energy-eff",
-            "floor-env-eff",
-            "built-form",
-            "number-habitable-rooms",
-            "number-heated-rooms",
-            "total-floor-area_group",
-            "median_thermal_transmittance",
-            "n_samples"
-        ]
-
-        self.floors = u_value_summary
-        self.floors_decile_data = {
-            "decile_labels": decile_labels,
-            "decile_boundaries": decile_boundaries
-        }
-
-    @staticmethod
-    def classify_into_deciles(df: pd.DataFrame, column: str) -> (pd.DataFrame, list, list):
-        """
-        Break a column in a Pandas DataFrame into deciles and classify new values into the existing deciles.
-
-        :param df: The input Pandas DataFrame.
-        :param column: The column name to break into deciles.
-
-        :return: A tuple containing:
-            - The DataFrame with the decile group column.
-            - The list of decile labels.
-            - The list of decile boundaries.
-        """
-        # Calculate decile boundaries
-        decile_boundaries = np.percentile(df[column], np.arange(0, 101, 10))
-
-        # Create decile labels
-        decile_labels = [f"Decile {i + 1}" for i in range(10)]
-
-        # Assign decile labels to existing values
-        df[column + "_group"] = pd.cut(df[column], bins=decile_boundaries, labels=decile_labels,
-                                       include_lowest=True)
-
-        return df, decile_labels, decile_boundaries
-
-    @staticmethod
-    def classify_decile_newvalues(decile_boundaries, decile_labels, new_values: list) -> list:
-        """
-        Classify new values into existing deciles based on decile definitions.
-
-        :param decile_boundaries: The list of decile boundaries.
-        :param decile_labels: The list of decile labels.
-        :param new_values: A list of new values to classify.
-
-        :return: The classifications for the new values as a list.
-        """
-        # Classify new values based on decile definitions
-        classifications = pd.cut(new_values, bins=decile_boundaries, labels=decile_labels, include_lowest=True)
-        return classifications.tolist()
-
-    def _save(self, filename):
-        """
-        Useful utility function to store this object, which is particularly handy for unit testing
-        :return:
-        """
-        with open(filename, 'wb') as f:
-            pickle.dump(self, f)
-           
\ No newline at end of file
diff --git a/model_data/config.py b/model_data/config.py
deleted file mode 100644
index 14150d88..00000000
--- a/model_data/config.py
+++ /dev/null
@@ -1,6 +0,0 @@
-import os
-from dotenv import load_dotenv
-
-load_dotenv(dotenv_path='model_data/.env')
-
-EPC_AUTH_TOKEN = os.environ.get('EPC_AUTH_TOKEN')
diff --git a/model_data/downloader.py b/model_data/downloader.py
deleted file mode 100644
index 5355367b..00000000
--- a/model_data/downloader.py
+++ /dev/null
@@ -1,29 +0,0 @@
-import time
-
-
-def pagenated_epc_download(client, params, page_size, n_pages, verbose=0, slowdown=0.1):
-    offset_from = 0
-    n_completed = 0
-    results = []
-    complete = False
-    while not complete:
-        if verbose:
-            print("Pulling for page %s" % str(int(offset_from / page_size) + 1))
-        time.sleep(slowdown)
-        search_resp = client.domestic.search(params=params, offset_from=offset_from, size=page_size)
-
-        # Note: We can only make 10k queries for a single set of search queries.
-        # It might make sense to download data via zip for machine learning since we don't need this
-        # data to be perfectly up to date
-        if not search_resp:
-            break
-
-        n_completed += 1
-
-        results.extend(search_resp["rows"])
-        if n_completed == n_pages:
-            complete = True
-        else:
-            offset_from += page_size
-
-    return results
diff --git a/model_data/plotting/plotting_functions.py b/model_data/plotting/plotting_functions.py
deleted file mode 100644
index 049ba248..00000000
--- a/model_data/plotting/plotting_functions.py
+++ /dev/null
@@ -1,40 +0,0 @@
-import pandas as pd
-import seaborn as sns
-import matplotlib.pyplot as plt
-
-
-def create_heatmap_plots(data, response_var, pivot_var1, pivot_var2, order1=None, order2=None):
-    """
-    Create a heatmap plot based on a list of data and given variables.
-
-    :param data: List of dictionaries, input data.
-    :param response_var: String, response variable to be plotted.
-    :param pivot_var1: String, first pivot variable to be used in the plot.
-    :param pivot_var2: String, second pivot variable to be used in the plot.
-    :param order1: List, the order of categories for pivot_var1. Optional.
-    :param order2: List, the order of categories for pivot_var2. Optional.
-
-    Returns:
-        None. Displays the generated plot.
-    """
-
-    # Create a DataFrame from your list of dictionaries
-    df = pd.DataFrame(data)
-
-    # Convert the response variable column to float type if it's not already
-    df[response_var] = df[response_var].astype(float)
-
-    # Create a pivot table
-    pivot = df.pivot_table(index=pivot_var1, columns=pivot_var2, values=response_var)
-
-    # If an order is provided, reorder the pivot table
-    if order1 is not None:
-        pivot = pivot.reindex(order1)
-    if order2 is not None:
-        pivot = pivot[order2]
-
-    # Plot the heatmap
-    plt.figure(figsize=(10, 6))
-    sns.heatmap(pivot, annot=True, fmt=".2f", cmap='coolwarm')
-    plt.title(f"Heatmap of {response_var} by {pivot_var1} and {pivot_var2}")
-    plt.show()
diff --git a/model_data/simulation_system/.gitignore b/model_data/simulation_system/.gitignore
deleted file mode 100644
index 5ec28995..00000000
--- a/model_data/simulation_system/.gitignore
+++ /dev/null
@@ -1 +0,0 @@
-local_model/*
\ No newline at end of file
diff --git a/model_data/simulation_system/.pre-commit-config.yaml b/model_data/simulation_system/.pre-commit-config.yaml
deleted file mode 100644
index cbc34112..00000000
--- a/model_data/simulation_system/.pre-commit-config.yaml
+++ /dev/null
@@ -1,11 +0,0 @@
-repos:
--   repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v2.3.0
-    hooks:
-    -   id: check-yaml
-    -   id: end-of-file-fixer
-    -   id: trailing-whitespace
--   repo: https://github.com/psf/black
-    rev: 22.10.0
-    hooks:
-    -   id: black
\ No newline at end of file
diff --git a/model_data/simulation_system/Dockerfiles/Dockerfile.prediction b/model_data/simulation_system/Dockerfiles/Dockerfile.prediction
deleted file mode 100644
index 88cea6c4..00000000
--- a/model_data/simulation_system/Dockerfiles/Dockerfile.prediction
+++ /dev/null
@@ -1,38 +0,0 @@
-FROM python:3.10.12-slim as release
-
-ARG USER=nroot
-ARG UID=1000
-ARG GID=100
-
-# Install patches
-RUN apt-get update && apt-get upgrade -y \
-    && apt-get install libgomp1 -y \
-    && apt-get clean \
-    && rm -rf /var/lib/apt/lists
-
-# Install python packages
-COPY ../requirements/predictions/predictions.txt requirements.txt
-RUN pip install --no-cache-dir -r requirements.txt
-
-# Create and configure non-root user
-RUN useradd \
-    --create-home \
-    --uid ${UID} \
-    --gid ${GID} \
-    --shell /bin/bash \
-    ${USER}
-
-# Copy the project code to user home directory
-COPY --chown=${UID}:${GID} ./core /home/simulation_system/core
-COPY --chown=${UID}:${GID} ./MLModel /home/simulation_system/MLModel
-COPY --chown=${UID}:${GID} ./predictions.py /home/simulation_system/predictions.py
-
-# FOR TESTING
-# COPY --chown=${UID}:${GID} ./model_build_data /home/simulation_system/model_build_data
-
-# Switch user
-USER ${USER}
-WORKDIR /home/simulation_system
-
-# Run the python command
-CMD ["python3", "predictions.py", "--data-path", "s3://retrofit-data-dev/model_build_data/change_data/rdsap_full/test_data_with_id.parquet"]
diff --git a/model_data/simulation_system/Dockerfiles/Dockerfile.prediction.lambda b/model_data/simulation_system/Dockerfiles/Dockerfile.prediction.lambda
deleted file mode 100644
index f3708ed9..00000000
--- a/model_data/simulation_system/Dockerfiles/Dockerfile.prediction.lambda
+++ /dev/null
@@ -1,22 +0,0 @@
-FROM public.ecr.aws/lambda/python:3.10
-
-# Set the working directory
-WORKDIR ${LAMBDA_TASK_ROOT}/simulation_system
-ENV PYTHONPATH "${PYTHONPATH}:${LAMBDA_TASK_ROOT}/simulation_system"
-
-# Install necessary build tools - required to test locally
-RUN yum install -y gcc python3-devel
-
-# Install python packages
-COPY requirements/predictions/predictions.txt ./requirements.txt
-RUN pip install --no-cache-dir -r ./requirements.txt
-
-# Copy the project code to the working directory
-COPY ./core ./core
-COPY ./MLModel ./MLModel
-COPY ./predictions.py ./predictions.py
-COPY ./handlers/predictions_app.py ./predictions_app.py
-COPY ./__init__.py ./__init__.py
-
-# Run off a lambda trigger
-CMD [ "simulation_system.predictions_app.handler" ]
diff --git a/model_data/simulation_system/Dockerfiles/Dockerfile.training b/model_data/simulation_system/Dockerfiles/Dockerfile.training
deleted file mode 100644
index 1eadee7b..00000000
--- a/model_data/simulation_system/Dockerfiles/Dockerfile.training
+++ /dev/null
@@ -1,38 +0,0 @@
-FROM python:3.10.12-slim as release
-
-ARG USER=nroot
-ARG UID=1000
-ARG GID=100
-
-# Install patches
-RUN apt-get update && apt-get upgrade -y \
-    && apt-get install libgomp1 -y \
-    && apt-get clean \
-    && rm -rf /var/lib/apt/lists
-
-# Install python packages
-COPY ../requirements/training/training.txt requirements.txt
-RUN pip install --no-cache-dir -r requirements.txt
-
-# Create and configure non-root user
-RUN useradd \
-    --create-home \
-    --uid ${UID} \
-    --gid ${GID} \
-    --shell /bin/bash \
-    ${USER}
-
-# Copy the project code to user home directory
-COPY --chown=${UID}:${GID} ./core /home/simulation_system/core
-COPY --chown=${UID}:${GID} ./MLModel /home/simulation_system/MLModel
-COPY --chown=${UID}:${GID} ./training.py /home/simulation_system/training.py
-
-# FOR TESTING
-# COPY --chown=${UID}:${GID} ./model_build_data /home/simulation_system/model_build_data
-
-# Switch user
-USER ${USER}
-WORKDIR /home/simulation_system
-
-# Run the python command
-CMD ["python3", "training.py", "--train-filepath", "s3://retrofit-data-dev/model_build_data/change_data/rdsap_full/train_validation_data.parquet", "--test-filepath", "s3://retrofit-data-dev/model_build_data/change_data/rdsap_full/test_data.parquet"]
diff --git a/model_data/simulation_system/Dockerfiles/Dockerfile.training.lambda b/model_data/simulation_system/Dockerfiles/Dockerfile.training.lambda
deleted file mode 100644
index 34d3fe42..00000000
--- a/model_data/simulation_system/Dockerfiles/Dockerfile.training.lambda
+++ /dev/null
@@ -1,14 +0,0 @@
-FROM public.ecr.aws/lambda/python:3.10
-
-# Install python packages
-COPY ../requirements/training/training.txt requirements.txt
-RUN pip install --no-cache-dir -r requirements.txt
-
-# Copy the project code to user home directory
-COPY ./core ${LAMBDA_TASK_ROOT}/simulation_system/core
-COPY ./MLModel ${LAMBDA_TASK_ROOT}/simulation_system/MLModel
-COPY ./training.py ${LAMBDA_TASK_ROOT}/simulation_system/training.py
-COPY ./handlers/training_app.py ${LAMBDA_TASK_ROOT}/simulation_system/training_app.py
-
-# Run off a lambda trigger
-CMD [ "training_app.handler" ]
diff --git a/model_data/simulation_system/MLModel/BaseMLModel.py b/model_data/simulation_system/MLModel/BaseMLModel.py
deleted file mode 100644
index aa10e26f..00000000
--- a/model_data/simulation_system/MLModel/BaseMLModel.py
+++ /dev/null
@@ -1,66 +0,0 @@
-"""
-BaseMLModel class
-This is the base protocol:
-- Any implementation will be its own seperate file
-Key tasks:
-- Template Model class for different model types
-- Save model
-- Load Model
-- Generate Inference
-"""
-
-from numpy import ndarray
-from pathlib import Path
-from typing import Protocol, NamedTuple, Any
-import pandas as pd
-from training import S3FSClient
-
-
-class MLModel(Protocol):
-    """
-    Base ML Model protocol
-    """
-
-    def load_model(self, filepath: Path) -> None:
-        """
-        Providing a path, this function will load the model to be used. Will load to internal variable
-        """
-
-    def save_model(
-        self, output_filepath: Path, s3_client: S3FSClient | None = None
-    ) -> None:
-        """
-        Providing a path, this function will save the model to be used.
-        """
-
-    def train_model(
-        self, data: pd.DataFrame, target_column: str, hyperparameters: dict
-    ) -> None:
-        """
-        For the given data and hyperparameters (specified to the model), a model is trained
-        """
-
-    def generate_predictions(self, data: pd.DataFrame) -> ndarray[Any, Any] | None:
-        """
-        For the given dataframe, model is loaded and predictions are generated
-        """
-
-    def model_evaluation(
-        self,
-        validation_data: pd.DataFrame,
-        target_column: str,
-        metrics_location: Path | None = None,
-    ) -> pd.DataFrame | None:
-        """
-        For any validation data, a set of predictions and metrics are return
-        """
-
-    def optimise_model_for_deployment(self):
-        """
-        Perfomance post processing on Model to ensure ready for deployment
-        """
-
-    def model_metadata(self) -> dict | None:
-        """
-        Extract out model metadata as dictionary
-        """
diff --git a/model_data/simulation_system/MLModel/Models.py b/model_data/simulation_system/MLModel/Models.py
deleted file mode 100644
index ac8f1409..00000000
--- a/model_data/simulation_system/MLModel/Models.py
+++ /dev/null
@@ -1,215 +0,0 @@
-"""
-Different implementations of the MLModel Protocol
-Uses the BaseMLModel protocol
-Key tasks:
-- Template Model class for different model types
-- Save model
-- Load Model
-- Generate Inference
-"""
-
-import os
-from typing import Any
-from pathlib import Path
-import pandas as pd
-from autogluon.tabular import TabularDataset, TabularPredictor
-from core.Logger import logger
-from core.Metrics import Metrics
-from core.Settings import METRIC_FILENAME
-from core.CloudClient import BotoClient
-
-AUTOGLUON_HYPERPARAMETERS = [
-    "problem_type",
-    "eval_metric",
-    "time_limit",
-    "presets",
-    "excluded_model_types",
-]
-
-
-def model_factory(model_type: str, hyperparameters: dict) -> dict:
-    """
-    Use factory pattern to register the different ML implementations
-    """
-
-    model_types = {
-        "autogluon": {
-            "model": AutogluonModel,
-            "naming_attributes": f"{hyperparameters['presets']}-{hyperparameters['time_limit']}",
-        },
-    }
-
-    return model_types[model_type]
-
-
-class AutogluonModel:
-    """
-    Autogluon model that implements the MLModel Protocol
-    """
-
-    def __init__(self, output_filepath: Path | None = None) -> None:
-        self.model = None
-        self.output_filepath = output_filepath
-        self.predictions = None
-
-    def load_model(
-        self,
-        filepath: str | Path,
-        client: BotoClient,
-        model_folder: str = "local_model",
-    ) -> None:
-        """
-        Providing a path, this function will load the model to be used. Will load to internal variable
-        """
-        filepath = str(filepath)
-        if client.client is None:
-            logger.info("In local development mode - no need for s3 client")
-            self.model = TabularPredictor.load(path=filepath)
-        else:
-            logger.info(f"Loading model from s3 with filepath: %s and model_folder: %s" % (filepath, model_folder))
-            client.download_model(filepath=filepath, model_folder=model_folder)
-            self.model = TabularPredictor.load(path=str(Path(model_folder) / filepath))
-
-    def save_model(self, output_filepath: Path, client: BotoClient) -> None:
-        """
-        Providing a path, this function will save the model to be used.
-        """
-        if client.client is None:
-            logger.info("In local development mode - no need for s3 client")
-            logger.info("Using AutoGluon Model - Model saving already occured")
-        else:
-            logger.info(f"Saving model into s3")
-
-            self.directory_upload(
-                client=client,
-                local_directory=str(output_filepath),
-                bucket_name=client.model_bucket,
-            )
-
-            logger.info("Save complete")
-
-    def directory_upload(self, client, local_directory, bucket_name):
-
-        # Iterate through the local directory and upload each file
-        for root, dirs, files in os.walk(local_directory):
-            for file in files:
-                # Determine the local file path and S3 object key
-                local_file_path = os.path.join(root, file)
-                s3_object_key = os.path.relpath(local_file_path, local_directory)
-
-                # Upload the file to S3
-                client.client.upload_file(local_file_path, bucket_name, local_file_path)
-
-                logger.info(
-                    f"Uploaded {local_file_path} to {bucket_name}/{local_file_path}"
-                )
-
-    def train_model(
-        self, data: pd.DataFrame, target_column: str, hyperparameters: dict
-    ) -> None:
-        """
-        For the given data and hyperparameters, a model is trained
-        """
-        if self.output_filepath is None:
-            logger.error("Please specify a output_filepath in order to train a model")
-            exit(1)
-
-        if set(AUTOGLUON_HYPERPARAMETERS) != set(hyperparameters.keys()):
-            print(
-                "Hyperparameters (dict) is incorrectly defined - please check what hyperparameters are required"
-            )
-            exit(1)
-
-        AGdata = TabularDataset(data=data)
-
-        self.model = TabularPredictor(
-            label=target_column,
-            path=self.output_filepath,
-            problem_type=hyperparameters["problem_type"],
-            eval_metric=hyperparameters["eval_metric"],
-        ).fit(
-            AGdata,
-            time_limit=hyperparameters["time_limit"],
-            presets=hyperparameters["presets"],
-            excluded_model_types=hyperparameters["excluded_model_types"],
-        )
-
-    def generate_predictions(self, data: pd.DataFrame) -> pd.Series:
-        """
-        For the given dataframe, model is loaded and predictions are generated
-        """
-
-        if self.model is None:
-            print("No model loaded/ trained")
-            exit(1)
-
-        predictions = pd.Series(self.model.predict(data))
-
-        return predictions
-
-    def model_evaluation(
-        self,
-        validation_data: pd.DataFrame,
-        target_column: str,
-        metrics: Metrics,
-        metrics_location: Path | None = None,
-        metric_filename: str = METRIC_FILENAME,
-    ) -> pd.DataFrame:
-        """
-        For any validation data, a set of predictions and metrics are return
-        """
-        if metrics_location is None:
-            logger.warning("Metrics will be outputted to current folder")
-            metrics_location = Path()
-
-        if self.model is None:
-            logger.error("No model loaded/ trained - Unable to generate evaluation")
-            exit(1)
-
-        # Generate prediction, load metrics suite, generate metrics betweeen the two
-        predictions = self.generate_predictions(validation_data)
-
-        performance = metrics.generate_metric_suite(
-            actuals=validation_data[target_column], predictions=predictions
-        )
-
-        logger.info("Prediction used for evaluations are saved in self.prediction")
-        self.predictions = predictions
-
-        logger.info("Saving metric file as metric.csv")
-        metrics_location.mkdir(exist_ok=True)
-
-        metrics_df = pd.DataFrame([performance])
-        metrics_df.to_csv(metrics_location / metric_filename)
-        markdown_filename = metric_filename.split(".")[0] + ".md"
-        metrics_df.to_markdown(metrics_location / markdown_filename)
-
-        return metrics_df
-
-    def optimise_model_for_deployment(
-        self, deployment_path: Path | str | None = None
-    ) -> Any:
-        """
-        We can optimise the deployment for a autogluon model
-        """
-        if self.model is None:
-            raise ValueError("No model to optimise for deployment")
-
-        if deployment_path is None:
-            raise ValueError("Deployment path required")
-
-        deployment_path = str(deployment_path)
-
-        # This will return a string path of the location
-        return self.model.clone_for_deployment(deployment_path)
-
-    def model_metadata(self) -> dict[str, Any]:
-        """
-        For Autogluon model, use the inbuilt model info method
-        """
-
-        if self.model is None:
-            logger.error("No Model loaded/ trained")
-            exit(1)
-
-        return self.model.info()
diff --git a/model_data/simulation_system/Makefile b/model_data/simulation_system/Makefile
deleted file mode 100644
index 4aad42b1..00000000
--- a/model_data/simulation_system/Makefile
+++ /dev/null
@@ -1,33 +0,0 @@
-export PYENV_ROOT=$(HOME)/.pyenv
-export PATH := $(PYENV_ROOT)/bin:$(PATH)
-PYTHON_VERSION ?= 3.10.12
-
-.PHONY: init
-init: build docker
-
-.PHONY: training_env
-env:
-	pyenv install $(PYTHON_VERSION) || echo "Proceeding..." # || is to swallow non-zero response if python version already is installed
-	pyenv global $(PYTHON_VERSION)
-	python3 -m venv .training_env
-	. .training_env/bin/activate
-	pip install --upgrade pip
-	pip install -r requirements/training/training-dev.txt && pre-commit install
-
-	echo " --- TO ACTIVATE THE ENVIRONMENT --- "
-	echo "Run source .training_env/bin/activate to activate the virtual environment"
-
-.PHONY: check-all
-check-all: pre-commit run -a
-
-.PHONY: build
-build:
-	docker-compose build
-
-.PHONY: docker
-docker:
-	docker-compose up -d
-
-.PHONY: down
-down:
-	docker compose down
diff --git a/model_data/simulation_system/README.md b/model_data/simulation_system/README.md
deleted file mode 100644
index e98767ea..00000000
--- a/model_data/simulation_system/README.md
+++ /dev/null
@@ -1,77 +0,0 @@
-# Simulation System
-
-Starter Readme:
-Steps for pipeline:
-
-- (WIP) Set up the training development environment
-    - Change directory to this folder (simulation_system)
-    - Run the following command `make env PYTHON_VERSION=3.10.12`
-    - This will install the specified python version using `pyenv` and select this version as the global python version
-    - It will install all training packages as specified in the training-dev.txt requirements file, including the pre-commit hooks
-    - Run `source .training_env/bin/activate` to use this environment
-
-- (WIP) Use Makefile to start up mock up s3 service
-    - By running `make init`, this will run the `docker-compose build` and `docker-compose up -d`, which spins up a S3 service
-    - This docker compose is running in detached mode `-d`, so will no output anything to the terminal
-
-- Once the Minio service is run, you can run the `training.py` file to start a model build process
-    - This will output a model, for a given target column, and add model name composed of some of the hyperparameters
-    - An example of running this file is:
-        - `python3 training.py --train-filepath ./model_build_data/change_data/rdsap_full/train_validation_data.parquet --test-filepath ./model_build_data/change_data/rdsap_full/test_data.parquet`
-    - Outputs of the pipeline are:
-        - A model directory bucket
-        - A target variable prefix (i.e. RDSAP_CHANGE or HEAT_DEMAND_CHANGE)
-        - A model type prefix (i.e. autogluon, tensorflow etc)
-        - A model name prefix (i.e. rdsap_change_medium_quality_60_TIMESTAMP)
-            - This model name is made up of target variable, quality, time spent training and timestamp
-            - Within this prefix, there are three folders:
-                - model
-                    - The model path that can be loaded in the codebase
-                - deployment
-                    - The optimised model that can be deployed (may or maynot need this)
-                - metrics
-                    - The metrics generatted from the model (may or may not need this as this can be contained in the registry)
-
-- Once model build is finished, you can run the `prediction.py` file to generate prediction
-    - By default, the prediction pipeline will select the best model based on **mean absolute error** from the model registry
-        - This can be overwritten by specifying a model_path, which will load an alternative model
-    - There are two ways of getting data into the pipeline:
-        - Using the `--data` argument:
-            - This is a JSON string which can be passed as `python3 predictions.py --data '{"TOTAL_FLOOR_AREA": 1}'`
-                - Note the single and double quotation marks, as this affects the ingestion
-        - Using the `--data-path` argument:
-            - This can be a filepath (Can imagine that we might want to pull data from S3/ DB)
-    - An example of running the file is:
-        - `python3 predictions.py --data-path ../simulation_system/model_build_data/change_data/rdsap_full/test_data.parquet`
-    - Outputs of the pipeline are:
-        - prediction bucket
-        - a Target variables prefix (i.e. RDSAP_CHANGE or HEAT_DEMAND_CHANGE)
-        - a uprn prefix (i.e 0123456789)
-        - a `prediction.json`
-        - a `metadata.json`
-            - This is all the metadata from the model (can change this if needed)
-
-- NOTE: If you wish to change any settings, these are currently all in the `Settings.py` file
-    - It will be separated out eventually but for now, it works to keep track of anything that we might want to respecify.
-        - I.e. the hyperparameters for models are in here but will move into a separate configuration file
-
-
-# TODO:
-- Structure/ MLOps:
-    - Add configuration files (dev, staging, prod), including hyperparamters
-    - Add precommit hooks (linters, branch names, etc)
-    - Sphinx documentation
-    - Sort out local mock up services
-    - Sort out Model Registry
-    - Sort out Data version control
-    - pre-commit hooks:
-        - The types of hooks that we want (safety, bandit, iso8 etc)
-        - The customisations we require
-    - Add sphinx documentation
-- Data Science:
-    - Implement a metrics class, to hold all metric
-    - Rebuild metrics script (Could be a one off but good to have)
-    - Determine metrics
-    - Implement and test custom model (Tensorflow Decision Trees etc)
-- Orchestration:
-    - Lambda handler for the pipeline
diff --git a/model_data/simulation_system/core/CloudClient.py b/model_data/simulation_system/core/CloudClient.py
deleted file mode 100644
index 8656a22e..00000000
--- a/model_data/simulation_system/core/CloudClient.py
+++ /dev/null
@@ -1,183 +0,0 @@
-"""
-Set up the client to be used for downloading and uploading model files
-"""
-
-import os
-import boto3
-from core.Logger import logger
-
-
-# class S3FSClient:
-#     """
-#     Set up the correct client to upload files to s3
-#     """
-
-#     def __init__(self, runtime_environment: str = "local") -> None:
-#         self.client: s3fs.S3FileSystem | None = None
-#         self.model_bucket: str
-
-#         self.client_factory(runtime_environment)
-#         self.determine_model_bucket(runtime_environment)
-
-#     def client_factory(self, runtime_environment: str = "local"):
-#         """
-#         Select the correct s3 client to use
-#         """
-
-#         if runtime_environment == "local":
-#             logger.info("No S3 client setup required")
-#         elif runtime_environment == "local-mock":
-#             logger.info(f"S3 settings for {runtime_environment}")
-#             self.client = s3fs.S3FileSystem(
-#                 key=os.environ.get("AWS_ACCESS_KEY_ID", "admin"),
-#                 secret=os.environ.get("AWS_SECRET_ACCESS_KEY", "password"),
-#                 client_kwargs={
-#                     "endpoint_url": os.environ.get(
-#                         "ENDPOINT_URL", "http://localhost:9000"
-#                     )
-#                 },
-#             )
-#         elif runtime_environment in ["dev", "staging", "prod"]:
-#             logger.info(f"S3 settings for {runtime_environment}")
-#             # Key/ token should be in session/lambda for this
-#             self.client = s3fs.S3FileSystem()
-#         else:
-#             raise NotImplementedError("No correspnding runtime environment")
-
-#     def determine_model_bucket(self, runtime_environment: str) -> None:
-#         """
-#         For the given environment, return the correct bucket for models
-#         """
-#         if runtime_environment == "local":
-#             logger.info("In local development - no need for s3")
-#         elif runtime_environment in ["local-mock", "dev"]:
-#             # TODO: get from enironment
-#             self.model_bucket = "retrofit-model-directory-dev"
-#         elif runtime_environment in ["staging", "prod"]:
-#             self.model_bucket = f"retrofit-model-directory-{runtime_environment}"
-#         else:
-#             raise NotImplementedError("No corresponding runtime environment")
-
-#     def download_model(self, filepath: str, model_folder: str):
-#         """
-#         For the file path, download the model locally so that we can load the model
-#         """
-
-#         if self.client is None:
-#             logger.info("No need to download model as local development")
-#         else:
-
-#             def list_files_recursively(folder_path, client):
-#                 all_files = []
-#                 for root, dirs, files in client.walk(folder_path):
-#                     for file in files:
-#                         s3_path = os.path.join(root, file)
-#                         all_files.append(s3_path)
-#                 return all_files
-
-#             # List all files in the specified S3 folder and its subfolders
-#             files = list_files_recursively(
-#                 f"{self.model_bucket}/{filepath}", client=self.client
-#             )
-
-#             # Download each file
-#             for file in files:
-#                 # Extract the filename from the S3 path
-#                 filename = file.split(filepath)[-1]
-
-#                 # Define the local path where you want to save the file
-#                 local_path = os.path.join(model_folder, filename)
-
-#                 # Download the file from S3 to the local directory
-#                 self.client.get(file, local_path)
-#                 print(f"Downloaded {filename} to {local_path}")
-
-#             print("Download completed.")
-
-
-class BotoClient:
-    """
-    Using boto3 to access the different aws storage configurations
-    """
-
-    def __init__(self, runtime_environment: str = "local") -> None:
-        self.client = None
-        self.model_bucket: str
-
-        self.client_factory(runtime_environment)
-        self.determine_model_bucket(runtime_environment)
-
-    def client_factory(self, runtime_environment: str = "local"):
-        """
-        Select the correct s3 client to use
-        """
-
-        if runtime_environment == "local":
-            logger.info("No S3 client setup required")
-        elif runtime_environment == "local-mock":
-            logger.info(f"S3 settings for {runtime_environment}")
-            session = boto3.Session()
-            self.client = session.client(
-                service_name="s3",
-                aws_access_key_id=os.environ.get("AWS_ACCESS_KEY_ID", "admin"),
-                aws_secret_access_key=os.environ.get(
-                    "AWS_SECRET_ACCESS_KEY", "password"
-                ),
-                endpoint_url=os.environ.get("ENDPOINT_URL", "http://localhost:9000"),
-            )
-        elif runtime_environment in ["dev", "staging", "prod"]:
-            logger.info(f"S3 settings for {runtime_environment}")
-            # Key/ token should be in session/lambda for this
-            self.client = boto3.client("s3")
-        else:
-            raise NotImplementedError("No correspnding runtime environment")
-
-    def determine_model_bucket(self, runtime_environment: str) -> None:
-        """
-        For the given environment, return the correct bucket for models
-        """
-        if runtime_environment == "local":
-            logger.info("In local development - no need for s3")
-        elif runtime_environment in ["local-mock", "dev"]:
-            # TODO: get from enironment
-            self.model_bucket = "retrofit-model-directory-dev"
-        elif runtime_environment in ["staging", "prod"]:
-            self.model_bucket = f"retrofit-model-directory-{runtime_environment}"
-        else:
-            raise NotImplementedError("No corresponding runtime environment")
-
-    def download_model(self, filepath: str, model_folder: str):
-        """
-        For the file path, download the model locally so that we can load the model
-        """
-        # List all objects with the specified prefix in the bucket
-
-        if self.client is None:
-            raise ValueError("SHould not be in here!")
-
-        objects = self.client.list_objects_v2(Bucket=self.model_bucket, Prefix=filepath)
-
-        # Ensure the local directory for downloads exists
-        if not os.path.exists(model_folder):
-            os.makedirs(model_folder)
-
-        # Download each object with the specified prefix
-        for obj in objects.get("Contents", []):
-            # Get the object key (file path)
-            object_key = obj["Key"]
-
-            # Determine the local file path to save the object
-            local_file_path = os.path.join(
-                model_folder, object_key.split(f"{filepath}/")[-1]
-            )
-
-            # Create the local directory if it doesn't exist
-            local_directory = os.path.dirname(local_file_path)
-            if not os.path.exists(local_directory):
-                os.makedirs(local_directory)
-
-            # Download the object from S3 to the local directory
-            self.client.download_file(self.model_bucket, object_key, local_file_path)
-            print(f"Downloaded {object_key} to {local_file_path}")
-
-        print("Download completed.")
diff --git a/model_data/simulation_system/core/DataLoader.py b/model_data/simulation_system/core/DataLoader.py
deleted file mode 100644
index c5c10b0a..00000000
--- a/model_data/simulation_system/core/DataLoader.py
+++ /dev/null
@@ -1,145 +0,0 @@
-import pandas as pd
-import os
-from typing import Protocol
-import boto3
-from io import BytesIO, StringIO
-from core.CloudClient import BotoClient
-
-
-def read_parquet_from_s3(client, bucket_name, file_key):
-    """
-    Read a CSV file from S3 using boto3 and pandas.
-
-    :param bucket_name: Name of the S3 bucket.
-    :param file_key: Key of the file (including directory path within the bucket).
-    :param aws_access_key_id: AWS Access Key ID
-    :param aws_secret_access_key: AWS Secret Access Key
-    :return: DataFrame containing the CSV data.
-    """
-
-    # Get the object
-    s3_object = client.get_object(Bucket=bucket_name, Key=file_key)
-
-    # Read the CSV body into a DataFrame
-    csv_body = s3_object["Body"].read()
-    df = pd.read_parquet(BytesIO(csv_body))
-
-    return df
-
-
-def read_csv_from_s3(client, bucket_name, file_key, index_col):
-    """
-    Read a CSV file from S3 using boto3 and pandas.
-
-    :param bucket_name: Name of the S3 bucket.
-    :param file_key: Key of the file (including directory path within the bucket).
-    :param aws_access_key_id: AWS Access Key ID
-    :param aws_secret_access_key: AWS Secret Access Key
-    :return: DataFrame containing the CSV data.
-    """
-
-    # Get the object
-    s3_object = client.get_object(Bucket=bucket_name, Key=file_key)
-
-    # Read the CSV body into a DataFrame
-    csv_body = s3_object["Body"].read().decode("utf-8")
-    df = pd.read_csv(StringIO(csv_body), index_col=index_col)
-
-    return df
-
-
-class DataLoader(Protocol):
-    """
-    Interface for all DataLoader classes
-    """
-
-    @staticmethod
-    def load(
-        client: BotoClient, filepath: str, index_col: str | None = None
-    ) -> pd.DataFrame | None:
-        """
-        Loading data from the relevant source
-        """
-
-
-class LocalDataLoader:
-    """
-    Implements the DataLoader Protocol for local files
-    """
-
-    @staticmethod
-    def load(
-        client: BotoClient, filepath: str, index_col: str | None = None
-    ) -> pd.DataFrame:
-
-        if not os.path.exists(filepath):
-            raise FileNotFoundError(f"File not found: {filepath}")
-
-        if filepath.endswith(".parquet"):
-            df = pd.read_parquet(filepath)
-            if index_col is not None:
-                df = df.set_index(index_col)
-        elif filepath.endswith(".csv"):
-            df = pd.read_csv(filepath, index_col=index_col)
-        else:
-            raise ValueError(f"File format not supported for file: {filepath}")
-
-        return df
-
-
-class S3DataLoader:
-    """
-    Implements the DataLoader Protocol for s3 files, hosting locally in a mocked service
-    """
-
-    @staticmethod
-    def load(
-        client: BotoClient, filepath: str, index_col: str | None = None
-    ) -> pd.DataFrame:
-
-        if not filepath.startswith("s3://"):
-            filepath = "s3://" + filepath
-
-        filepath_split = filepath.split("s3://")[-1].split("/", 1)
-        bucket = filepath_split[0]
-        key = filepath_split[1]
-
-        if filepath.endswith(".parquet"):
-            df = read_parquet_from_s3(
-                client=client.client, bucket_name=bucket, file_key=key
-            )
-            if index_col is not None:
-                df = df.set_index(index_col)
-        elif filepath.endswith(".csv"):
-            df = read_csv_from_s3(
-                client=client.client,
-                bucket_name=bucket,
-                file_key=key,
-                index_col=index_col,
-            )
-        else:
-            raise ValueError(f"File format not supported for file: {filepath}")
-
-        return df
-
-
-def dataloader_factory(runtime_environment: str | None = None) -> DataLoader:
-    """
-    Use factory pattern to determine which loading method we use
-    """
-
-    if runtime_environment is None:
-        runtime_environment = "local"
-
-    dataloader_types = {
-        "local": LocalDataLoader(),
-        "local-mock": S3DataLoader(),
-        "dev": S3DataLoader(),
-        "staging": S3DataLoader(),
-        "prod": S3DataLoader(),
-    }
-
-    if runtime_environment not in dataloader_types:
-        raise ValueError("Incorrect runtime environment specified")
-
-    return dataloader_types[runtime_environment]
diff --git a/model_data/simulation_system/core/Logger.py b/model_data/simulation_system/core/Logger.py
deleted file mode 100644
index 8603fff6..00000000
--- a/model_data/simulation_system/core/Logger.py
+++ /dev/null
@@ -1,26 +0,0 @@
-"""
-Logger that will be used throughout the application
-"""
-
-import logging 
-
-def setup_logger():
-    # Create a logger
-    logger = logging.getLogger()
-    
-    # Set the log level
-    logger.setLevel(logging.INFO)
-    
-    # Create a formatter
-    formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
-    
-    # Create a stream handler to direct logs to stdout
-    stream_handler = logging.StreamHandler()
-    stream_handler.setFormatter(formatter)
-    
-    # Add the stream handler to the logger
-    logger.addHandler(stream_handler)
-    
-    return logger
-
-logger = setup_logger()
\ No newline at end of file
diff --git a/model_data/simulation_system/core/Metrics.py b/model_data/simulation_system/core/Metrics.py
deleted file mode 100644
index 9369587d..00000000
--- a/model_data/simulation_system/core/Metrics.py
+++ /dev/null
@@ -1,167 +0,0 @@
-"""
-Generate metrics and enable regeneration of metrics if new metrics are generated
-Key tasks:
-- Specify metric functions that take in prediction vs actual to generate a metric value
-- Given a model and test data, produce a suite of all metrics
-"""
-
-import os
-import pandas as pd
-from pathlib import Path
-import seaborn as sns
-import matplotlib.pyplot as plt
-from core.CloudClient import BotoClient
-from core.Logger import logger
-from core.Settings import (
-    RESIDUAL_TRUE_LABEL,
-    RESIDUAL_PREDICTION_LABEL,
-    SEABORN_RESIDUAL_AXIS_FONTSIZE,
-    SEABORN_RESIDUAL_TITLE_FONTSIZE,
-    SEABORN_RESIDUAL_STYLE,
-    SEABORN_RESIDUAL_ASPECT_RATIO,
-    SEABORN_RESIDUAL_PLOT_DPI,
-    SEABORN_RESIDUAL_RANGE,
-    SEABORN_RESIDUAL_LINE_COLOUR,
-    SEABORN_RESIDUAL_LINE_WIDTH,
-)
-from sklearn.metrics import (
-    mean_absolute_error,
-    median_absolute_error,
-    mean_squared_error,
-    mean_absolute_percentage_error,
-)
-
-
-# Dummy example of new metric that can be added - must be true and prediction as arguments
-def max_error(y_true: pd.Series, y_pred: pd.Series):
-    return max(y_true - y_pred)
-
-
-METRIC_TO_APPLY = [
-    mean_absolute_error,
-    median_absolute_error,
-    mean_squared_error,
-    mean_absolute_percentage_error,
-    # max_error
-]
-
-
-def sort_by_metric(
-    data: pd.DataFrame, optimse_metric: str, best_model_column_name: str
-) -> pd.DataFrame:
-    """
-    Helper function to sort data frame by metric and append a best model flag
-    """
-    # Ascending as we want lowest error values
-    data = data.sort_values(optimse_metric, ascending=True).reset_index(drop=True)
-    data[best_model_column_name] = [False] * len(data)
-    data.loc[0, best_model_column_name] = True
-
-    return data
-
-
-class Metrics:
-    """
-    All metric functions used to generate a dictionary of metrics
-    """
-
-    def upload_metrics(self, output_filepath: Path, client: BotoClient) -> None:
-        """
-        Providing a path, this function will save the metrics folders/files.
-        """
-        if client.client is None:
-            logger.info("In local development mode - no need to upload")
-        else:
-            logger.info(f"Saving metrics into s3")
-            s3_location = client.model_bucket + "/" + str(output_filepath)
-
-            self.directory_upload(
-                client=client,
-                local_directory=str(output_filepath),
-                bucket_name=client.model_bucket,
-            )
-
-            logger.info("Save complete")
-
-    def directory_upload(self, client, local_directory, bucket_name):
-
-        # Iterate through the local directory and upload each file
-        for root, dirs, files in os.walk(local_directory):
-            for file in files:
-                # Determine the local file path and S3 object key
-                local_file_path = os.path.join(root, file)
-                s3_object_key = os.path.relpath(local_file_path, local_directory)
-
-                # Upload the file to S3
-                client.client.upload_file(local_file_path, bucket_name, local_file_path)
-
-                logger.info(
-                    f"Uploaded {local_file_path} to {bucket_name}/{local_file_path}"
-                )
-
-    @staticmethod
-    def list_metric_functions() -> list:
-        """
-        Gather all metric functions to run
-        """
-        return [metric_to_apply.__name__ for metric_to_apply in METRIC_TO_APPLY]
-
-    @staticmethod
-    def generate_metric_suite(actuals: pd.Series, predictions: pd.Series) -> pd.Series:
-        """
-        For the model, test data and target, generate predictions and then iterative over all metrics to generate a Series of metric values
-        """
-
-        metric_dict = {}
-        for metric_function in METRIC_TO_APPLY:
-            metric_dict[metric_function.__name__] = metric_function(
-                actuals, predictions
-            )
-
-        metrics = pd.Series(metric_dict)
-
-        return metrics
-
-    @staticmethod
-    def generate_plot_suite():
-        """
-        Can do all metric ploting
-        """
-
-    @staticmethod
-    def generate_residual_plot(
-        actuals: pd.Series,
-        predictions: pd.Series,
-        target_column: str,
-        output_filepath: Path | str,
-    ):
-
-        # TODO: can have a model.metric_outputs method
-        # FOr not just do it here
-        residual_df = pd.DataFrame(
-            list(zip(actuals, predictions)),
-            columns=[RESIDUAL_TRUE_LABEL, RESIDUAL_PREDICTION_LABEL],
-        )
-
-        # image formatting
-        sns.set(style=SEABORN_RESIDUAL_STYLE)
-        ax = sns.scatterplot(
-            x=RESIDUAL_TRUE_LABEL, y=RESIDUAL_PREDICTION_LABEL, data=residual_df
-        )
-        ax.set_aspect(SEABORN_RESIDUAL_ASPECT_RATIO)
-        ax.set_xlabel(f"True {target_column}", fontsize=SEABORN_RESIDUAL_AXIS_FONTSIZE)
-        ax.set_ylabel(
-            f"Predicted {target_column}", fontsize=SEABORN_RESIDUAL_AXIS_FONTSIZE
-        )  # ylabel
-        ax.set_title("Residuals", fontsize=SEABORN_RESIDUAL_TITLE_FONTSIZE)
-
-        # Square aspect ratio
-        ax.plot(
-            SEABORN_RESIDUAL_RANGE,
-            SEABORN_RESIDUAL_RANGE,
-            SEABORN_RESIDUAL_LINE_COLOUR,
-            linewidth=SEABORN_RESIDUAL_LINE_WIDTH,
-        )
-
-        plt.tight_layout()
-        plt.savefig(output_filepath, dpi=SEABORN_RESIDUAL_PLOT_DPI)
diff --git a/model_data/simulation_system/core/RegistryHandler.py b/model_data/simulation_system/core/RegistryHandler.py
deleted file mode 100644
index e7ec641c..00000000
--- a/model_data/simulation_system/core/RegistryHandler.py
+++ /dev/null
@@ -1,114 +0,0 @@
-"""
-
-"""
-
-from io import StringIO
-import pandas as pd
-from pathlib import Path
-from core.Logger import logger
-from core.CloudClient import BotoClient
-from core.Metrics import Metrics
-from core.Settings import BEST_MODEL_COLUMN_NAME
-
-
-def read_csv_from_s3(client, bucket_name, file_key, index_col):
-    """
-    Read a CSV file from S3 using boto3 and pandas.
-
-    :param bucket_name: Name of the S3 bucket.
-    :param file_key: Key of the file (including directory path within the bucket).
-    :param aws_access_key_id: AWS Access Key ID
-    :param aws_secret_access_key: AWS Secret Access Key
-    :return: DataFrame containing the CSV data.
-    """
-
-    # Get the object
-    s3_object = client.get_object(Bucket=bucket_name, Key=file_key)
-
-    # Read the CSV body into a DataFrame
-    csv_body = s3_object["Body"].read().decode("utf-8")
-    df = pd.read_csv(StringIO(csv_body), index_col=index_col)
-
-    return df
-
-
-class RegistryHandler:
-    """
-    Handles the loading of the registry depending on the environment
-    """
-
-    def load_registry(self, registry_path: Path, client: BotoClient, metrics: Metrics):
-        """
-        Depening on the environment, we will have to load from locally or s3 (mock/real)
-        """
-
-        if client.client is None:
-            logger.info("Using local development - no need for s3 load")
-            return self.load_local_registry(
-                registry_path=registry_path, metrics=metrics
-            )
-
-        logger.info(f"Check if registry exists")
-
-        check_exists = client.client.list_objects_v2(
-            Bucket=client.model_bucket, Prefix=str(registry_path)
-        )
-
-        if "Contents" in check_exists:
-            logger.info("Loading existing registry")
-            registry_df = read_csv_from_s3(
-                client=client.client,
-                bucket_name=client.model_bucket,
-                file_key=str(registry_path),
-                index_col=None,
-            )
-        else:
-            logger.info("No registry found - creating new one")
-            registry_df = self.create_new_registry(metrics=metrics)
-
-        return registry_df
-
-    def load_local_registry(self, registry_path: Path, metrics: Metrics):
-        """
-        In local development mode, load the registry
-        """
-        if registry_path.exists():
-            logger.info("Registry file found - Loading into Dataframe")
-            registry_df = pd.read_csv(registry_path, index_col=None)
-        else:
-            logger.info("No registry found - creating new one")
-            registry_df = self.create_new_registry(metrics=metrics)
-
-        return registry_df
-
-    def create_new_registry(self, metrics: Metrics):
-        """
-        If no registry is found, create a new one
-        """
-        # TODO: Moved columns into settings: MODEL_DETAILS and Metrics class columns
-        columns = [
-            BEST_MODEL_COLUMN_NAME,
-            "model_type",
-            "model_name",
-            "model_location",
-        ] + metrics.list_metric_functions()
-
-        registry_df = pd.DataFrame(columns=columns)
-
-        return registry_df
-
-    def save_registry(self, output_filepath: Path, client: BotoClient) -> None:
-        """
-        Providing a path, this function will save the model to be used.
-        """
-        if client.client is None:
-            logger.info("In local development mode - no need for s3 client")
-        else:
-            logger.info(f"Saving registry into s3")
-            s3_location = client.model_bucket + "/" + str(output_filepath)
-
-            client.client.upload_file(
-                str(output_filepath), client.model_bucket, str(output_filepath)
-            )
-
-            logger.info("Save complete")
diff --git a/model_data/simulation_system/docker-compose.yml b/model_data/simulation_system/docker-compose.yml
deleted file mode 100644
index f875e7ef..00000000
--- a/model_data/simulation_system/docker-compose.yml
+++ /dev/null
@@ -1,58 +0,0 @@
-version: '3'
-
-services:
-  minio:
-    image: minio/minio:RELEASE.2022-05-26T05-48-41Z
-    ports:
-      - "9000:9000"
-      - "9001:9001"
-    volumes:
-      - ./data:/data
-    environment:
-      MINIO_ROOT_USER: &MINIO_USER admin
-      MINIO_ROOT_PASSWORD: &MINIO_PASS password
-    command: server --console-address ":9001" /data
-    healthcheck:
-      test: ["CMD", "curl", "-f", "http://localhost:9000/minio/health/live"]
-      interval: 30s
-      timeout: 20s
-      retries: 3
-
-  simulation_system_training:
-    build:
-      context: ./
-      dockerfile: ./Dockerfiles/Dockerfile.training
-    image: simulation_system_training
-    environment:
-      RUNTIME_ENVIRONMENT: local-mock
-      ENDPOINT_URL: http://minio:9000/
-      AWS_ACCESS_KEY_ID: *MINIO_USER
-      AWS_SECRET_ACCESS_KEY: *MINIO_PASS
-    tty: true
-    depends_on:
-      minio:
-        condition: service_healthy
-    # command:
-    #   ["bash"]
-
-  # simulation_system_prediction:
-  #   build:
-  #     context: ./
-  #     dockerfile: ./Dockerfiles/Dockerfile.prediction
-  #   image: simulation_system_prediction
-  #   environment:
-  #     RUNTIME_ENVIRONMENT: local-mock
-  #     ENDPOINT_URL: http://minio:9000/
-  #     AWS_ACCESS_KEY_ID: *MINIO_USER
-  #     AWS_SECRET_ACCESS_KEY: *MINIO_PASS
-  #   tty: true
-  #   depends_on:
-  #     simulation_system_training:
-  #       condition: service_completed_successfully
-    # command:
-  #     ["bash"]
-
-
-
-# volumes:
-#   minio_storage: {}
diff --git a/model_data/simulation_system/energy_predictor.py b/model_data/simulation_system/energy_predictor.py
deleted file mode 100644
index ab29f39c..00000000
--- a/model_data/simulation_system/energy_predictor.py
+++ /dev/null
@@ -1,118 +0,0 @@
-from pathlib import Path
-from core.Settings import (
-    RDSAP_RESPONSE,
-    FLOOR_LEVEL_MAP,
-    BUILT_FORM_REMAP,
-    EARLIEST_EPC_DATE,
-    FULLY_GLAZED_DESCRIPTIONS,
-    FIXED_FEATURES,
-    LATEST_FIELD,
-    COMPONENT_FEATURES
-)
-from model_data.BaseUtility import Definitions
-from tqdm import tqdm
-import pandas as pd
-import numpy as np
-
-from autogluon.tabular import TabularDataset, TabularPredictor
-
-RANDOM_SEED = 0
-
-DATA_DIRECTORY = Path(__file__).parent / 'data' / 'all-domestic-certificates'
-
-FLOAT_COLUMNS = [
-    'NUMBER_OPEN_FIREPLACES',
-    'EXTENSION_COUNT',
-    'TOTAL_FLOOR_AREA',
-    'PHOTO_SUPPLY',
-    'FIXED_LIGHTING_OUTLETS_COUNT',
-    'FLOOR_HEIGHT',
-    'NUMBER_HABITABLE_ROOMS',
-    'LOW_ENERGY_LIGHTING',
-    'MULTI_GLAZE_PROPORTION',
-    'NUMBER_HEATED_ROOMS'
-]
-
-
-def create_raw_data():
-    """
-    Extract all information to do a simple predictor for RDSAP
-    """
-
-    directories = [entry for entry in DATA_DIRECTORY.iterdir() if entry.is_dir()]
-    # directories = directories[0:10]
-    dfs = []
-    for directory in tqdm(directories):
-        filepath = directory / "certificates.csv"
-        df = pd.read_csv(filepath, low_memory=False)
-
-        # Remove any bad uprns and ignore old/bad data
-        df = df[~pd.isnull(df["UPRN"])]
-        df = df[df["LODGEMENT_DATE"] >= EARLIEST_EPC_DATE]
-        df = df[df["TRANSACTION_TYPE"] != "new dwelling"]
-        df = df[~df["FLOOR_LEVEL"].isin(["top floor", "mid floor"])]
-
-        # Change multi glaze proportion
-        no_multi_glaze_proportion_index = pd.isnull(df["MULTI_GLAZE_PROPORTION"]) & (
-            df["WINDOWS_DESCRIPTION"].isin(FULLY_GLAZED_DESCRIPTIONS))
-        df.loc[no_multi_glaze_proportion_index, 'MULTI_GLAZE_PROPORTION'] = 100
-
-        # Recast 
-        df["UPRN"] = df["UPRN"].astype(int).astype(str)
-        df['MAIN_HEATING_CONTROLS'] = df['MAIN_HEATING_CONTROLS'].astype(float)
-
-        # Sort Data
-        df = df.sort_values(["UPRN", "LODGEMENT_DATE"], ascending=True)
-
-        # Map all anomaly values to None
-        data_anomaly_map = dict(zip(Definitions.DATA_ANOMALY_MATCHES, [None] * len(Definitions.DATA_ANOMALY_MATCHES)))
-
-        # Use replace function to map data (if exists in key), to corresponding value - i.e. Remove invalid values
-        df = df.replace(data_anomaly_map)
-        df = df.replace(np.NAN, None)
-
-        # Remap certain columns
-        df['FLOOR_LEVEL'] = df['FLOOR_LEVEL'].replace(FLOOR_LEVEL_MAP)
-        df['BUILT_FROM'] = df['BUILT_FORM'].replace(BUILT_FORM_REMAP)
-
-        # Keep only possible modelling columns
-        df = df[[RDSAP_RESPONSE] + list(set(FIXED_FEATURES + LATEST_FIELD + COMPONENT_FEATURES))]
-
-        # Reduce memory usage
-
-        # df.memory_usage()
-        # df.dtypes
-        df[RDSAP_RESPONSE] = pd.to_numeric(df[RDSAP_RESPONSE], downcast='unsigned')
-        df[FLOAT_COLUMNS] = df[FLOAT_COLUMNS].apply(pd.to_numeric, downcast='float')
-
-        dfs.append(df)
-
-    data = pd.concat(dfs)
-    data.to_parquet('./energy_predictor_data.parquet')
-
-    cleaned_data = data.dropna()
-    # GIves you primarily flats
-    cleaned_data.to_parquet('./energy_predictor_cleaned_data.parquet')
-
-
-def main():
-    data = TabularDataset(data='./model_build_data/energy_data/cleaned_data/train_validation_data.parquet')
-
-    subsample_size = round(len(data) / 100)
-    data = data.sample(subsample_size, random_state=RANDOM_SEED)
-
-    predictor_RDSAP = TabularPredictor(
-        label=RDSAP_RESPONSE,
-        path="agModels-predictENERGY",
-        problem_type="regression",
-        eval_metric='mean_absolute_error'
-    ).fit(data, time_limit=800, presets='high_quality', excluded_model_types=['KNN', 'CAT'])
-
-    test_data = TabularDataset('./model_build_data/energy_data/cleaned_data/test_data.parquet')
-    performance = predictor_RDSAP.evaluate(test_data)
-    predictions = predictor_RDSAP.predict(test_data)
-    predictor_RDSAP.feature_importance(test_data)
-
-
-if __name__ == "__main__":
-    main()
diff --git a/model_data/simulation_system/handlers/predictions_app.py b/model_data/simulation_system/handlers/predictions_app.py
deleted file mode 100644
index 4e398566..00000000
--- a/model_data/simulation_system/handlers/predictions_app.py
+++ /dev/null
@@ -1,91 +0,0 @@
-import boto3
-from botocore.exceptions import NoCredentialsError
-import json
-from io import StringIO
-import os
-import logging
-
-from predictions import prediction
-
-logger = logging.getLogger()
-logger.setLevel(logging.INFO)
-
-RUNTIME_ENVIRONMENT = os.environ.get("RUNTIME_ENVIRONMENT", "dev")
-
-
-def upload_dataframe_to_s3(df, bucket, s3_file_name):
-    """
-    Upload a pandas DataFrame to an S3 bucket as CSV
-
-    :param df: DataFrame to upload
-    :param bucket: Bucket to upload to
-    :param s3_file_name: S3 object name
-    :return: True if file was uploaded, else False
-    """
-
-    # Initialize the S3 client
-    s3 = boto3.client('s3')
-    csv_buffer = StringIO()
-
-    # Write the DataFrame to the buffer as CSV
-    df.to_csv(csv_buffer, index=False)
-
-    try:
-        # Upload the CSV from the buffer to S3
-        s3.put_object(Bucket=bucket, Key=s3_file_name, Body=csv_buffer.getvalue())
-        print(f"Successfully uploaded DataFrame to {bucket}/{s3_file_name}")
-        return True
-    except NoCredentialsError:
-        print("Credentials not available")
-        return False
-
-
-def handler(event, context):
-    """
-    Take in event and trigger the prediction pipeline
-    """
-
-    logger.info("received event: " + str(event))
-
-    try:
-        body = json.loads(event["body"]) if not isinstance(event["body"], dict) else event["body"]
-
-        data_path = body["file_location"]
-        property_id = body["property_id"]
-        portfolio_id = body["portfolio_id"]
-        created_at = body["created_at"]
-
-        # We could fix the model path but for the moment, we just take the best model path based on the registry
-        outputs = prediction(model_path=None, data_path=data_path)
-        # Store into s3, with key of {portfolio_id}-{property_id}
-
-        storage_filepath = f"{portfolio_id}/{property_id}/{created_at}.csv"
-
-        upload_dataframe_to_s3(
-            df=outputs,
-            bucket=f"retrofit-sap-predictions-{RUNTIME_ENVIRONMENT}",
-            s3_file_name=storage_filepath
-        )
-
-        return {
-            "statusCode": 200,
-            "body": json.dumps({
-                "message": "Successfully processed input",
-                "storage_filepath": storage_filepath
-            })
-        }
-
-    except (Exception, KeyError, ValueError) as e:
-        logger.info("Prediction failed")
-        logger.info(e)
-        return {
-            "statusCode": 500,
-            "body": json.dumps({
-                "message": "Prediction failed",
-                "error": str(e)
-            })
-        }
-
-
-if __name__ == "__main__":
-    handler()
diff --git a/model_data/simulation_system/model_build_data/change_data/rdsap_full/test_data.parquet b/model_data/simulation_system/model_build_data/change_data/rdsap_full/test_data.parquet
deleted file mode 100644
index ac5249ce..00000000
Binary files a/model_data/simulation_system/model_build_data/change_data/rdsap_full/test_data.parquet and /dev/null differ
diff --git a/model_data/simulation_system/model_build_data/change_data/rdsap_full/test_data_with_id.parquet b/model_data/simulation_system/model_build_data/change_data/rdsap_full/test_data_with_id.parquet
deleted file mode 100644
index d41b23da..00000000
Binary files a/model_data/simulation_system/model_build_data/change_data/rdsap_full/test_data_with_id.parquet and /dev/null differ
diff --git a/model_data/simulation_system/model_build_data/change_data/rdsap_full/train_validation_data.parquet b/model_data/simulation_system/model_build_data/change_data/rdsap_full/train_validation_data.parquet
deleted file mode 100644
index e7b2eb4a..00000000
Binary files a/model_data/simulation_system/model_build_data/change_data/rdsap_full/train_validation_data.parquet and /dev/null differ
diff --git a/model_data/simulation_system/predictions.py b/model_data/simulation_system/predictions.py
deleted file mode 100644
index 1b3827d8..00000000
--- a/model_data/simulation_system/predictions.py
+++ /dev/null
@@ -1,188 +0,0 @@
-"""
-Script to load MLModel class and generate predictions
-"""
-
-import os
-import json
-import argparse
-from pathlib import Path
-import pandas as pd
-from typing import Optional
-from datetime import datetime
-from MLModel.Models import AutogluonModel
-from core.Logger import logger
-from core.DataLoader import dataloader_factory
-from core.CloudClient import BotoClient
-from core.Metrics import Metrics
-from core.RegistryHandler import RegistryHandler
-from core.Settings import (
-    BASE_REGISTRY_PATH,
-    REGISTRY_FILE,
-    PREDICTION_LOCATION,
-    PREDICTION_FILE,
-    METADATA_FILE,
-    TIMESTAMP_FORMAT,
-    MODEL_DIRECTORY,
-)
-
-TIMESTAMP = datetime.now().strftime(TIMESTAMP_FORMAT)
-RUNTIME_ENVIRONMENT = os.environ.get("RUNTIME_ENVIRONMENT", "dev")
-
-CLIENT = BotoClient(runtime_environment=RUNTIME_ENVIRONMENT)
-
-# FOR TESTING
-# For now just loading data first and then passing into function (i.e. as if we receive json data and convert to
-# DataFrame)
-# TEST_DATA = DataLoader.load(filepath="../simulation_system/model_build_data/change_data/rdsap_full/test_data.parquet")
-# DATA = TEST_DATA.sample(1)
-
-# For testing in dev s3
-# Data path can be passed as so:
-# python3 predictions.py --data-path s3://retrofit-data-dev/model_build_data/change_data/rdsap_full/test_data.parquet
-# data_path="s3://retrofit-data-dev/model_build_data/change_data/rdsap_full/test_data_with_id.parquet"
-
-
-def ingest_arguments() -> argparse.Namespace:
-    """
-    Helper function to take in arguments from script start
-    """
-
-    parser = argparse.ArgumentParser(description="Inputs for training script")
-    parser.add_argument(
-        "--target-column",
-        type=str,
-        help="The response variable you are predicting for",
-        choices=["RDSAP_CHANGE", "HEAT_DEMAND_CHANGE"],
-        default="RDSAP_CHANGE",
-    )
-    parser.add_argument(
-        "--model-path",
-        type=str,
-        help="If you wish to use a specific model, specify the model path here",
-    )
-    parser.add_argument("--data", type=str, help="Json data for predictions")
-    parser.add_argument(
-        "--data-path", type=str, help="Location of Parquet dataset to load for training"
-    )
-
-    args = parser.parse_args()
-
-    return args
-
-
-def prediction(
-    target_column: str = "RDSAP_CHANGE",
-    model_path: str | None = None,
-    data: Optional[pd.DataFrame | str] = None,
-    data_path: Optional[str] = None,
-):
-    """
-    Main pipeline function
-    """
-
-    if model_path is not None:
-        logger.info("User specified a model to load - ignoring registry")
-        model_location = model_path
-        model_type = model_path
-        model_name = model_path
-    else:
-        # TODO: Think about where registry will sit/ type
-        logger.info("Loading best model from registry")
-
-        metrics = Metrics()
-        registry_handler = RegistryHandler()
-
-        registry_path = Path(MODEL_DIRECTORY) / target_column / REGISTRY_FILE
-
-        registry_df = registry_handler.load_registry(
-            registry_path=registry_path, client=CLIENT, metrics=metrics
-        )
-
-        # registry_df = pd.read_csv(registry_path)
-        best_model_df = registry_df[registry_df["best_model"]]
-
-        model_location = best_model_df["model_location"].values[0]
-        model_type = best_model_df["model_type"].values[0]
-        model_name = best_model_df["model_name"].values[0]
-
-    logger.info("--- Model Info: ---")
-    logger.info(f"Model type: {model_type}")
-    logger.info(f"Model name: {model_name}")
-    logger.info(f"Model location: {model_location}")
-
-    logger.info("--- Loading Data ---")
-    if data is None and data_path is None:
-        logger.error("No Data/Data Path passed")
-        exit(1)
-    if data_path and data is None:
-        logger.info("Loading data from provided path")
-        dataloader = dataloader_factory(runtime_environment=RUNTIME_ENVIRONMENT)
-        data = dataloader.load(client=CLIENT, filepath=data_path, index_col=None)
-
-        if data is None:
-            raise ValueError("No data loaded")
-
-    else:
-        logger.info("Using data provided")
-        data = json.loads(str(data))
-        data = pd.DataFrame([data])
-
-    logger.info("--- Loading Model ---")
-
-    if model_type == "autogluon":
-        logger.info("Using an Autogluon model")
-        model = AutogluonModel()
-    else:
-        raise ValueError("No other model currently")
-
-    # In lambda, only the /tmp folder is writable
-    model_folder = "/tmp" if RUNTIME_ENVIRONMENT in ["dev", "prod"] else "local_model"
-
-    model.load_model(filepath=model_location, client=CLIENT, model_folder=model_folder)
-
-    logger.info("--- Generating Predictions ---")
-    prediction = model.generate_predictions(data=data)
-
-    # logger.info(pd.concat([data["id"], prediction], axis=1))
-
-    return pd.concat([data["id"], prediction], axis=1)
-
-    # Save prediction some where?
-    # prediction.to_csv("s3?")
-
-    # TODO: Check how we want to structure outputs
-    # For now, just categorise by uprn and timestamp
-    # Assume one uprn coming in for now
-    # uprn = data.index.values[0]
-
-    # # Saving prediction local for now
-    # # TODO: change uprn to TARGET_ID, put in setting
-    # logger.info("--- Outputting prediction and metadata --- ")
-    # output_base = PREDICTION_LOCATION / target_column / uprn / TIMESTAMP
-    # output_base.mkdir(parents=True, exist_ok=True)
-
-    # json_prediction = prediction.to_json(output_base / PREDICTION_FILE)
-    # prediction_metadata = {
-    #     "model_type": model_type,
-    #     "model_name": model_name,
-    #     "model_location": model_location,
-    #     "model_settings": model.model_metadata(),
-    # }
-
-    # pd.DataFrame([prediction_metadata]).to_json(output_base / METADATA_FILE)
-
-    return json_prediction
-
-
-if __name__ == "__main__":
-    args = ingest_arguments()
-
-    # Data can be passed in as JSON string: python3 predictions.py --data '{"TOTAL_FLOOR_AREA": 1}'
-    # Data path can be passed as so: python3 predictions.py --data-path
-    # ./model_build_data/change_data/rdsap_full/test_data.parquet
-    prediction(
-        target_column=args.target_column,
-        model_path=args.model_path,
-        data=args.data,
-        data_path=args.data_path,
-    )
diff --git a/model_data/simulation_system/preprocessed_data/dataset.parquet b/model_data/simulation_system/preprocessed_data/dataset.parquet
deleted file mode 100644
index 4b6247d6..00000000
Binary files a/model_data/simulation_system/preprocessed_data/dataset.parquet and /dev/null differ
diff --git a/model_data/simulation_system/regenerate_metrics.py b/model_data/simulation_system/regenerate_metrics.py
deleted file mode 100644
index 025892f5..00000000
--- a/model_data/simulation_system/regenerate_metrics.py
+++ /dev/null
@@ -1,118 +0,0 @@
-"""
-Script to regenerate metrics for all the models in the model registry
-Key task:
-- Load model registry
-- For each model in the registry, generate the metrics (Key questions here is what if the test data changes)
-- Save the new metrics out to s3 bucket
-"""
-
-import os
-import argparse
-from s3pathlib import S3Path
-import pandas as pd
-from tqdm import tqdm
-from core.Logger import logger
-from core.Metrics import Metrics, sort_by_metric
-from core.DataLoader import dataloader_factory
-from core.Settings import (
-    OPTIMISE_METRIC,
-    MODEL_DIRECTORY,
-    REGISTRY_FILE,
-    BEST_MODEL_COLUMN_NAME,
-)
-from MLModel.Models import model_factory
-
-RUNTIME_ENVIRONMENT = os.environ.get("RUNTIME_ENVIRONMENT", "local")
-
-
-def ingest_arguments() -> argparse.Namespace:
-    """
-    Helper function to take in arguments from script start
-    """
-
-    parser = argparse.ArgumentParser(description="Inputs for training script")
-
-    parser.add_argument(
-        "--test-filepath",
-        type=str,
-        help="Location of Parquet dataset to load for testing",
-        required=True,
-    )
-    parser.add_argument(
-        "--target-column",
-        type=str,
-        help="The response variable",
-        choices=["RDSAP_CHANGE", "HEAT_DEMAND_CHANGE"],
-        default="RDSAP_CHANGE",
-    )
-
-    args = parser.parse_args()
-
-    return args
-
-
-def regenerate_metrics(test_filepath: str, target_column: str) -> None:
-    """
-    Recreate all metrics for all models
-    """
-
-    logger.info("--- Loading test data ---")
-    dataloader = dataloader_factory(runtime_environment=RUNTIME_ENVIRONMENT)
-    test_df = dataloader.load(filepath=test_filepath)
-
-    logger.info("--- Loading model registry ---")
-    logger.info(f"Loading registry for {target_column} models")
-    registry_df = dataloader.load(
-        filepath=S3Path(MODEL_DIRECTORY, target_column, REGISTRY_FILE).uri
-    )
-
-    logger.info("Extract non-metric columns")
-    registry_df = registry_df[["model_type", "model_name", "model_location"]]
-
-    logger.info("--- Regenerating metrics ---")
-
-    metric_suite = Metrics()
-
-    metrics_df = pd.DataFrame(columns=metric_suite.list_metric_functions())
-
-    for _, row in tqdm(registry_df.iterrows()):
-
-        logger.info(f"--- Loading Model ({row['model_name']}) ---")
-
-        model = model_factory(model_type=row["model_type"])()
-
-        model.load_model(filepath=row["model_location"])
-
-        metrics = metric_suite.generate_metric_suite(
-            model=model, data=test_df, target_column=target_column
-        )
-
-        # Add metrics row by row
-        metrics_df = pd.concat([metrics_df, metrics], axis=0).reset_index(drop=True)
-
-    # Add metrics df to registry df side by side
-    registry_df = pd.concat([registry_df, metrics_df], axis=1)
-
-    logger.info(f"--- Sorting by Optimise Metric ({OPTIMISE_METRIC}) ---")
-
-    registry_df = sort_by_metric(
-        data=registry_df,
-        optimse_metric=OPTIMISE_METRIC,
-        best_model_column_name=BEST_MODEL_COLUMN_NAME,
-    )
-
-    logger.info("--- Saving model metrics ---")
-
-    registry_df.to_csv(S3Path(MODEL_DIRECTORY, target_column, REGISTRY_FILE).uri)
-
-
-if __name__ == "__main__":
-
-    logger.info("---Begin Pipeline to regenerate metrics---")
-
-    logger.info("---Ingest Arguments---")
-    args = ingest_arguments()
-
-    regenerate_metrics(
-        test_filepath=args.test_filepath, target_column=args.target_column
-    )
diff --git a/model_data/simulation_system/requirements.txt b/model_data/simulation_system/requirements.txt
deleted file mode 100644
index 62db1719..00000000
--- a/model_data/simulation_system/requirements.txt
+++ /dev/null
@@ -1,208 +0,0 @@
-absl-py==1.4.0
-accelerate==0.16.0
-aiohttp==3.8.5
-aiohttp-cors==0.7.0
-aiosignal==1.3.1
-aliyun-python-sdk-core==2.13.36
-aliyun-python-sdk-kms==2.16.1
-antlr4-python3-runtime==4.9.3
-asttokens==2.2.1
-async-timeout==4.0.3
-attrs==23.1.0
-autogluon==0.8.2
-autogluon.common==0.8.2
-autogluon.core==0.8.2
-autogluon.features==0.8.2
-autogluon.multimodal==0.8.2
-autogluon.tabular==0.8.2
-autogluon.timeseries==0.8.2
-backcall==0.2.0
-beautifulsoup4==4.12.2
-blessed==1.20.0
-blis==0.7.10
-boto3==1.28.25
-botocore==1.31.25
-cachetools==5.3.1
-catalogue==2.0.9
-catboost==1.2
-certifi==2023.7.22
-cffi==1.15.1
-charset-normalizer==3.2.0
-click==8.1.6
-cloudpickle==2.2.1
-colorama==0.4.6
-colorful==0.5.5
-comm==0.1.4
-confection==0.1.1
-contourpy==1.1.0
-crcmod==1.7
-cryptography==41.0.3
-cycler==0.11.0
-cymem==2.0.7
-datasets==2.14.4
-debugpy==1.6.7
-decorator==5.1.1
-defusedxml==0.7.1
-dill==0.3.7
-distlib==0.3.7
-evaluate==0.3.0
-executing==1.2.0
-fastai==2.7.12
-fastcore==1.5.29
-fastdownload==0.0.7
-fastprogress==1.0.3
-filelock==3.12.2
-fonttools==4.42.0
-frozenlist==1.4.0
-fsspec==2023.6.0
-future==0.18.3
-gdown==4.7.1
-gluonts==0.13.3
-google-api-core==2.11.1
-google-auth==2.22.0
-google-auth-oauthlib==1.0.0
-googleapis-common-protos==1.60.0
-gpustat==1.1
-graphviz==0.20.1
-grpcio==1.50.0
-huggingface-hub==0.16.4
-hyperopt==0.2.7
-idna==3.4
-imageio==2.31.1
-ipykernel==6.25.1
-ipython==8.14.0
-jedi==0.19.0
-Jinja2==3.1.2
-jmespath==0.10.0
-joblib==1.3.2
-jsonschema==4.17.3
-jupyter_client==8.3.0
-jupyter_core==5.3.1
-kiwisolver==1.4.4
-langcodes==3.3.0
-lightgbm==3.3.5
-lightning-utilities==0.9.0
-llvmlite==0.40.1
-Markdown==3.4.4
-markdown-it-py==3.0.0
-MarkupSafe==2.1.3
-matplotlib==3.7.2
-matplotlib-inline==0.1.6
-mdurl==0.1.2
-mlforecast==0.7.3
-model-index==0.1.11
-msgpack==1.0.5
-multidict==6.0.4
-multiprocess==0.70.15
-murmurhash==1.0.9
-nest-asyncio==1.5.7
-networkx==3.1
-nlpaug==1.1.11
-nltk==3.8.1
-nptyping==2.4.1
-numba==0.57.1
-numpy==1.24.4
-nvidia-ml-py==12.535.77
-oauthlib==3.2.2
-omegaconf==2.2.3
-opencensus==0.11.2
-opencensus-context==0.1.3
-opendatalab==0.0.10
-openmim==0.3.9
-openxlab==0.0.17
-ordered-set==4.1.0
-oss2==2.17.0
-packaging==23.1
-pandas==1.5.3
-parso==0.8.3
-pathy==0.10.2
-patsy==0.5.3
-pexpect==4.8.0
-pickleshare==0.7.5
-Pillow==9.5.0
-platformdirs==3.10.0
-plotly==5.16.0
-preshed==3.0.8
-prometheus-client==0.17.1
-prompt-toolkit==3.0.39
-protobuf==3.20.2
-psutil==5.9.5
-ptyprocess==0.7.0
-pure-eval==0.2.2
-py-spy==0.3.14
-py4j==0.10.9.7
-pyarrow==12.0.1
-pyasn1==0.5.0
-pyasn1-modules==0.3.0
-pycparser==2.21
-pycryptodome==3.18.0
-pydantic==1.10.12
-Pygments==2.16.1
-pyparsing==3.0.9
-pyrsistent==0.19.3
-PySocks==1.7.1
-pytesseract==0.3.10
-python-dateutil==2.8.2
-pytorch-lightning==1.9.5
-pytorch-metric-learning==1.7.3
-pytz==2023.3
-PyWavelets==1.4.1
-PyYAML==6.0.1
-pyzmq==25.1.0
-ray==2.3.1
-regex==2023.8.8
-requests==2.28.2
-requests-oauthlib==1.3.1
-responses==0.18.0
-rich==13.4.2
-rsa==4.9
-s3transfer==0.6.1
-safetensors==0.3.2
-scikit-image==0.19.3
-scikit-learn==1.2.2
-scipy==1.11.1
-seaborn==0.12.2
-sentencepiece==0.1.99
-seqeval==1.2.2
-six==1.16.0
-smart-open==6.3.0
-soupsieve==2.4.1
-spacy==3.6.1
-spacy-legacy==3.0.12
-spacy-loggers==1.0.4
-srsly==2.4.7
-stack-data==0.6.2
-statsforecast==1.4.0
-statsmodels==0.14.0
-tabulate==0.9.0
-tenacity==8.2.2
-tensorboard==2.14.0
-tensorboard-data-server==0.7.1
-tensorboardX==2.6.2
-text-unidecode==1.3
-thinc==8.1.12
-threadpoolctl==3.2.0
-tifffile==2023.7.18
-timm==0.9.5
-tokenizers==0.13.3
-toolz==0.12.0
-torch==1.13.1
-torchmetrics==0.11.4
-torchvision==0.14.1
-tornado==6.3.2
-tqdm==4.65.1
-traitlets==5.9.0
-transformers==4.26.1
-typer==0.9.0
-typing_extensions==4.7.1
-tzdata==2023.3
-ujson==5.8.0
-urllib3==1.26.16
-virtualenv==20.24.3
-wasabi==1.1.2
-wcwidth==0.2.6
-Werkzeug==2.3.6
-window-ops==0.0.14
-xgboost==1.7.6
-xxhash==3.3.0
-yarl==1.9.2
diff --git a/model_data/simulation_system/requirements/predictions/predictions-dev.txt b/model_data/simulation_system/requirements/predictions/predictions-dev.txt
deleted file mode 100644
index a9e65dc2..00000000
--- a/model_data/simulation_system/requirements/predictions/predictions-dev.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-boto3
-autogluon==0.8.2
-pandas==1.5.3
-seaborn==0.12.2
-matplotlib==3.7.2
-pre-commit==3.3.3
diff --git a/model_data/simulation_system/requirements/predictions/predictions.txt b/model_data/simulation_system/requirements/predictions/predictions.txt
deleted file mode 100644
index af2d681e..00000000
--- a/model_data/simulation_system/requirements/predictions/predictions.txt
+++ /dev/null
@@ -1,5 +0,0 @@
-boto3
-autogluon==0.8.2
-pandas==1.5.3
-seaborn==0.12.2
-matplotlib==3.7.2
diff --git a/model_data/simulation_system/requirements/training/training-dev.txt b/model_data/simulation_system/requirements/training/training-dev.txt
deleted file mode 100644
index ea205270..00000000
--- a/model_data/simulation_system/requirements/training/training-dev.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-autogluon==0.8.2
-pandas==1.5.3
-seaborn==0.12.2
-pre-commit==3.3.3
diff --git a/model_data/simulation_system/requirements/training/training.txt b/model_data/simulation_system/requirements/training/training.txt
deleted file mode 100644
index 17e4c8da..00000000
--- a/model_data/simulation_system/requirements/training/training.txt
+++ /dev/null
@@ -1,3 +0,0 @@
-autogluon==0.8.2
-pandas==1.5.3
-seaborn==0.12.2
diff --git a/model_data/simulation_system/test_data_generation.py b/model_data/simulation_system/test_data_generation.py
deleted file mode 100644
index 8989d491..00000000
--- a/model_data/simulation_system/test_data_generation.py
+++ /dev/null
@@ -1,109 +0,0 @@
-from model_data.simulation_system.core.Logger import logger
-import argparse
-import pandas as pd
-from pathlib import Path
-from model_data.simulation_system.core.Settings import RANDOM_SEED, TRAIN_AND_VALIDATION_DATA_NAME, TEST_DATA_NAME
-
-
-def ingest_arguments() -> argparse.Namespace:
-    """
-    Helper function to take in arguments from script start
-    """
-
-    parser = argparse.ArgumentParser(description="Inputs for training script")
-
-    parser.add_argument(
-        "--filepath",
-        type=str,
-        help="Location of Parquet dataset to load",
-        required=True,
-    )
-    parser.add_argument(
-        "--output-folder",
-        type=str,
-        help="Location of Parquet dataset to save",
-        required=True,
-    )
-    parser.add_argument(
-        "--percentage",
-        type=float,
-        help="Percentage of data to use as test data",
-        default=None,
-    )
-    parser.add_argument(
-        "--volume", type=int, help="Volume of data to use as test data", default=None
-    )
-    parser.add_argument(
-        "--sampling",
-        type=str,
-        help="Type of sampling to do for test data",
-        choices=["random", "stratified"],
-        default="random",
-    )
-
-    args = parser.parse_args()
-
-    return args
-
-
-def main(
-    filepath: str, output_folder: str, percentage: float, volume: int, sampling: str
-):
-    """
-    Load a dataset in and split out the training+validation data and the test data.
-    """
-
-    logger.info("---Loading Data---")
-    data = pd.read_parquet(filepath).reset_index(drop=True)
-
-    if percentage and volume is None:
-        test_amount = round(len(data) * percentage)
-    elif percentage is None and volume:
-        test_amount = volume
-    elif percentage is None and volume is None:
-        logger.error(
-            "No amount specified - please specify either a percentage or volume"
-        )
-        exit(1)
-    else:
-        logger.info("Both percentage and volume specified - taking largest of the two")
-        test_amount = max(round(len(data) * percentage), volume)
-
-    logger.info(f"---Extracting {test_amount} from dataset to be test data")
-
-    train_validation_data = pd.DataFrame()
-    test_data = pd.DataFrame()
-
-    if sampling == "random":
-        logger.info("--- Using random sample method ---")
-        sample_index = data.sample(n=test_amount, random_state=RANDOM_SEED).index
-
-        train_validation_data = data.drop(sample_index)
-        test_data = data.iloc[sample_index]
-
-    elif sampling == "stratified":
-        # Not yet implemented
-        pass
-
-    logger.info("--- Saving data ---")
-
-    train_validation_data.to_parquet(
-        Path(output_folder) / TRAIN_AND_VALIDATION_DATA_NAME
-    )
-    test_data.to_parquet(Path(output_folder) / TEST_DATA_NAME)
-
-    logger.info(" ---Pipeline complete---")
-
-
-if __name__ == "__main__":
-    logger.info("--- Generate test data pipeline ---")
-
-    args = ingest_arguments()
-
-    main(
-        filepath=args.filepath,
-        output_folder=args.output_folder,
-        percentage=args.percentage,
-        volume=args.volume,
-        sampling=args.sampling,
-    )
diff --git a/model_data/simulation_system/training.py b/model_data/simulation_system/training.py
deleted file mode 100644
index b68d1c4d..00000000
--- a/model_data/simulation_system/training.py
+++ /dev/null
@@ -1,259 +0,0 @@
-import argparse
-
-import os
-import shutil
-from pathlib import Path
-from datetime import datetime
-import pandas as pd
-from MLModel.Models import model_factory
-from core.Logger import logger
-from core.Metrics import Metrics, sort_by_metric
-from core.DataLoader import dataloader_factory
-from core.FeatureProcessor import FeatureProcessor
-from core.CloudClient import BotoClient
-from core.RegistryHandler import RegistryHandler
-from core.Settings import (
-    MODEL_DIRECTORY,
-    REGISTRY_FILE,
-    MODEL_FOLDER,
-    METRICS_FOLDER,
-    DEPLOYMENT_FOLDER,
-    SUBSAMPLE_FACTOR,
-    MODEL_HYPERPARAMETERS,
-    TIMESTAMP_FORMAT,
-    RESIDUAL_FILE,
-    BEST_MODEL_COLUMN_NAME,
-    OPTIMISE_METRIC,
-)
-
-TIMESTAMP = datetime.now().strftime(TIMESTAMP_FORMAT)
-
-RUNTIME_ENVIRONMENT = os.environ.get("RUNTIME_ENVIRONMENT", "local")
-
-CLIENT = BotoClient(runtime_environment=RUNTIME_ENVIRONMENT)
-# CLIENT = S3FSClient(runtime_environment=RUNTIME_ENVIRONMENT)
-
-
-# FOR TESTING
-# train_filepath = "./model_build_data/change_data/rdsap_full/train_validation_data.parquet"
-# test_filepath = "./model_build_data/change_data/rdsap_full/test_data.parquet"
-# target_column = "RDSAP_CHANGE"
-# model_type = "autogluon"
-# hyperparameter = HYPERPARAMETERS
-# SUBSAMPLE_FACTOR = 200
-
-# Mock location
-# train_filepath = "s3://retrofit-data-dev/model_build_data/change_data/rdsap_full/train_validation_data.parquet"
-# test_filepath = "s3://retrofit-data-dev/model_build_data/change_data/rdsap_full/test_data.parquet"
-
-
-# To run script in local mode:
-# python3 training.py --train-filepath ./model_build_data/change_data/rdsap_full/train_validation_data.parquet --test-filepath ./model_build_data/change_data/rdsap_full/test_data.parquet
-
-# To run script in local-mock mode:
-# python3 training.py --train-filepath s3://retrofit-data-dev/model_build_data/change_data/rdsap_full/train_validation_data.parquet --test-filepath s3://retrofit-data-dev/model_build_data/change_data/rdsap_full/test_data.parquet
-
-
-def ingest_arguments() -> argparse.Namespace:
-    """
-    Helper function to take in arguments from script start
-    """
-
-    parser = argparse.ArgumentParser(description="Inputs for training script")
-
-    parser.add_argument(
-        "--train-filepath",
-        type=str,
-        help="Location of Parquet dataset to load for training",
-        required=True,
-    )
-    parser.add_argument(
-        "--test-filepath",
-        type=str,
-        help="Location of Parquet dataset to load for testing",
-        required=True,
-    )
-    parser.add_argument(
-        "--model-type",
-        type=str,
-        help="The type of model to train",
-        choices=["autogluon"],
-        default="autogluon",
-    )
-    parser.add_argument(
-        "--target-column",
-        type=str,
-        help="The response variable",
-        choices=["RDSAP_CHANGE", "HEAT_DEMAND_CHANGE"],
-        default="RDSAP_CHANGE",
-    )
-
-    args = parser.parse_args()
-
-    return args
-
-
-def training(
-    train_filepath: str,
-    test_filepath: str,
-    target_column: str = "RDSAP_CHANGE",
-    model_type: str = "autogluon",
-    hyperparameters: dict | None = None,
-) -> None:
-    """
-    Pipeline to run training on the dataset
-    """
-
-    logger.info("--- Loading data ---")
-    dataloader = dataloader_factory(runtime_environment=RUNTIME_ENVIRONMENT)
-    train_df = dataloader.load(client=CLIENT, filepath=train_filepath)
-    test_df = dataloader.load(client=CLIENT, filepath=test_filepath)
-
-    if train_df is None or test_df is None:
-        raise ValueError("No data Loaded - cancelling pipeline")
-
-    logger.info("--- Feature processing ---")
-
-    feature_processor = FeatureProcessor()
-
-    # This is for convenience for now
-    subsample_amount = round(len(train_df) / SUBSAMPLE_FACTOR)
-
-    train_df = feature_processor.process(
-        train_df, target_column=target_column, subsample_amount=subsample_amount
-    )
-    test_df = feature_processor.process(test_df, target_column=target_column)
-
-    logger.info("--- Build Model ---")
-
-    logger.info("--- Load Hyperparameters ---")
-
-    if hyperparameters is None:
-        logger.info("Use base hyperparameters in settings")
-        hyperparameters = MODEL_HYPERPARAMETERS[model_type]
-        logger.info(f"Hyperparameters are: {hyperparameters}")
-
-    logger.info(
-        "--- Loading model configuration (Model type and Naming convention) ---"
-    )
-    # We might want to have hyperparameters in the names to make models more recognisable
-    model_toolkit = model_factory(
-        model_type=model_type, hyperparameters=hyperparameters
-    )
-
-    model_root = (
-        f"{target_column}-{model_toolkit['naming_attributes']}-{TIMESTAMP}".lower()
-    )
-    output_base = Path(MODEL_DIRECTORY) / target_column / model_type / model_root
-
-    # Will need to pass output path to model (for saving purposes)
-    model = model_toolkit["model"](output_filepath=output_base / MODEL_FOLDER)
-
-    model.train_model(
-        data=train_df, target_column=target_column, hyperparameters=hyperparameters
-    )
-
-    logger.info("--- Save Model ---")
-    model.save_model(output_filepath=model.output_filepath, client=CLIENT)
-
-    logger.info("--- Generate evaluation metrics ---")
-    metrics = Metrics()
-
-    metric_output_path = output_base / METRICS_FOLDER
-    metrics_df = model.model_evaluation(
-        validation_data=test_df,
-        target_column=target_column,
-        metrics_location=metric_output_path,
-        metrics=metrics,
-    )
-
-    logger.info("--- Generate metric outputs using predictions ---")
-    # metrics.generate_plot_suite()
-
-    plot_output_path = output_base / METRICS_FOLDER / RESIDUAL_FILE
-    metrics.generate_residual_plot(
-        actuals=test_df[target_column],
-        predictions=model.predictions,
-        target_column=target_column,
-        output_filepath=plot_output_path,
-    )
-
-    metrics.upload_metrics(output_filepath=metric_output_path, client=CLIENT)
-
-    # TODO: for cml, we might want to have class that outputs all data and plots to add to the report
-    # If we want residual plot/ any plots, we will need to self host
-
-    # TODO: introduce a seperate script for model optimisation, and from there, optimise for deployment
-    # Imagining for now that the model trained here is the best model amongst all models built
-
-    logger.info("--- Optimising model for deployment ---")
-
-    deployment_model_path = output_base / DEPLOYMENT_FOLDER
-
-    model.optimise_model_for_deployment(deployment_path=deployment_model_path)
-    logger.info(
-        f"Optimised version of best model can be found at: {deployment_model_path}"
-    )
-
-    model.save_model(output_filepath=deployment_model_path, client=CLIENT)
-
-    # TODO: Need a model registry - for now have this as a CSV
-    # Save this in the model directory
-    # Loading registry from s3
-    logger.info("--- Append registry with new model ---")
-
-    registry_handler = RegistryHandler()
-
-    registry_path = Path(MODEL_DIRECTORY) / target_column / REGISTRY_FILE
-
-    registry_df = registry_handler.load_registry(
-        registry_path=registry_path, client=CLIENT, metrics=metrics
-    )
-
-    model_details_df = pd.DataFrame(
-        [
-            {
-                "model_type": model_type,
-                "model_name": model_root,
-                "model_location": deployment_model_path,
-            }
-        ]
-    )
-
-    registry_row = pd.concat([model_details_df, metrics_df], axis=1)
-    registry_df = pd.concat([registry_df, registry_row], axis=0).reset_index(drop=True)
-
-    registry_df = sort_by_metric(
-        registry_df,
-        optimse_metric=OPTIMISE_METRIC,
-        best_model_column_name=BEST_MODEL_COLUMN_NAME,
-    )
-
-    logger.info("--- Saving new model to registry ---")
-    # Ensure the directory exists
-    registry_path.parent.mkdir(parents=True, exist_ok=True)
-    registry_df.to_csv(registry_path, index=False)
-
-    registry_handler.save_registry(output_filepath=registry_path, client=CLIENT)
-
-    logger.info("--- Clean up ---")
-    if RUNTIME_ENVIRONMENT != "local" and Path(MODEL_DIRECTORY).exists():
-        logger.info("Removing local development files not in s3")
-        shutil.rmtree(Path(MODEL_DIRECTORY))
-
-    logger.info("--- Training Pipeline Complete --- ")
-
-
-if __name__ == "__main__":
-
-    logger.info("---Begin Pipeline---")
-
-    logger.info("---Ingest Arguments---")
-    args = ingest_arguments()
-
-    training(
-        train_filepath=args.train_filepath,
-        test_filepath=args.test_filepath,
-        target_column=args.target_column,
-        model_type=args.model_type,
-    )
diff --git a/model_data/temp_inputs.py b/model_data/temp_inputs.py
deleted file mode 100644
index 18248734..00000000
--- a/model_data/temp_inputs.py
+++ /dev/null
@@ -1,35 +0,0 @@
-# Temporary input data
-input_data = [
-    {
-        "address1": "28 Distillery Wharf",
-        "postcode": "w6 9bf"
-    },
-    {
-        "address1": "Flat 14 Godley V C House",
-        "postcode": "E2 0LP"
-    },
-    {
-        "address1": "49 Elderfield Road",
-        "postcode": "E5 0LF"
-    },
-    {
-        "address1": "26 Stanhope Road",
-        "postcode": "N6 5NG"
-    },
-    {
-        "address1": "Flat 3 Frederick Building",
-        "postcode": "N1 4BD"
-    },
-    {
-        "address1": "Flat 4 Frederick Building",
-        "postcode": "N1 4BD"
-    },
-    {
-        "address1": "Flat 28, 22 Adelina Grove",
-        "postcode": "E1 3BX"
-    },
-    {
-        "address1": "Flat 39, 239 Long Lane",
-        "postcode": "SE1 4PT"
-    }
-]
diff --git a/model_data/tests/test_data/sap_model_data.py b/model_data/tests/test_data/sap_model_data.py
deleted file mode 100644
index fa83d58f..00000000
--- a/model_data/tests/test_data/sap_model_data.py
+++ /dev/null
@@ -1,674 +0,0 @@
-data = [
-    {'low-energy-fixed-light-count': '', 'address': '2 Aspenlea Road', 'uprn-source': 'Address Matched',
-     'floor-height': '2.97', 'heating-cost-potential': '260', 'unheated-corridor-length': '',
-     'hot-water-cost-potential': '41', 'construction-age-band': '2021', 'potential-energy-rating': 'A',
-     'mainheat-energy-eff': 'Good', 'windows-env-eff': 'Very Good', 'lighting-energy-eff': 'Very Good',
-     'environment-impact-potential': '94', 'glazed-type': '', 'heating-cost-current': '260', 'address3': '',
-     'mainheatcont-description': 'Programmer, room thermostat and TRVs', 'sheating-energy-eff': 'N/A',
-     'property-type': 'Bungalow', 'local-authority-label': 'Hammersmith and Fulham',
-     'fixed-lighting-outlets-count': '11', 'energy-tariff': 'standard tariff', 'mechanical-ventilation': '',
-     'hot-water-cost-current': '66', 'county': '', 'postcode': 'W6 8LJ', 'solar-water-heating-flag': '',
-     'constituency': 'E14000726', 'co2-emissions-potential': '0.2', 'number-heated-rooms': '',
-     'floor-description': 'Average thermal transmittance 0.15 W/m-¦K', 'energy-consumption-potential': '16',
-     'local-authority': 'E09000013', 'built-form': 'Detached', 'number-open-fireplaces': '0',
-     'windows-description': 'High performance glazing', 'glazed-area': '', 'inspection-date': '2021-05-24',
-     'mains-gas-flag': '', 'co2-emiss-curr-per-floor-area': '24', 'address1': '2 Aspenlea Road',
-     'heat-loss-corridor': '', 'flat-storey-count': '', 'constituency-label': 'Hammersmith', 'roof-energy-eff': 'Good',
-     'total-floor-area': '54.0', 'building-reference-number': '10000980452', 'environment-impact-current': '80',
-     'co2-emissions-current': '1.3', 'roof-description': 'Average thermal transmittance 0.17 W/m-¦K',
-     'floor-energy-eff': 'Very Good', 'number-habitable-rooms': '', 'address2': '', 'hot-water-env-eff': 'Good',
-     'posttown': 'LONDON', 'mainheatc-energy-eff': 'Good', 'main-fuel': 'Gas: mains gas',
-     'lighting-env-eff': 'Very Good', 'windows-energy-eff': 'Very Good', 'floor-env-eff': 'Very Good',
-     'sheating-env-eff': 'N/A', 'lighting-description': 'Low energy lighting in all fixed outlets',
-     'roof-env-eff': 'Good', 'walls-energy-eff': 'Very Good', 'photo-supply': '', 'lighting-cost-potential': '47',
-     'mainheat-env-eff': 'Good', 'multi-glaze-proportion': '100', 'main-heating-controls': '',
-     'lodgement-datetime': '2021-05-24 14:26:30', 'flat-top-storey': 'N', 'current-energy-rating': 'C',
-     'secondheat-description': 'None', 'walls-env-eff': 'Very Good', 'transaction-type': 'new dwelling',
-     'uprn': '34169219', 'current-energy-efficiency': '77', 'energy-consumption-current': '135',
-     'mainheat-description': 'Boiler & underfloor, mains gas', 'lighting-cost-current': '47',
-     'lodgement-date': '2021-05-24', 'extension-count': '', 'mainheatc-env-eff': 'Good',
-     'lmk-key': 'eba2f9b74eba10683a6cc097985d6c7a6773d18a9407933ae03b3eb32607edec', 'wind-turbine-count': '0',
-     'tenure': 'Not defined - use in the case of a new dwelling for which the intended tenure in not known. It is no',
-     'floor-level': '', 'potential-energy-efficiency': '92', 'hot-water-energy-eff': 'Good',
-     'low-energy-lighting': '100', 'walls-description': 'Average thermal transmittance 0.25 W/m-¦K',
-     'hotwater-description': 'From main system'},
-    {'low-energy-fixed-light-count': '12', 'address': '1d, Cromwell Grove', 'uprn-source': 'Address Matched',
-     'floor-height': '', 'heating-cost-potential': '503', 'unheated-corridor-length': '',
-     'hot-water-cost-potential': '119', 'construction-age-band': 'NO DATA!', 'potential-energy-rating': 'C',
-     'mainheat-energy-eff': 'Very Poor', 'windows-env-eff': 'Very Good', 'lighting-energy-eff': 'Very Good',
-     'environment-impact-potential': '80', 'glazed-type': 'NO DATA!', 'heating-cost-current': '500', 'address3': '',
-     'mainheatcont-description': 'Programmer and appliance thermostats', 'sheating-energy-eff': 'N/A',
-     'property-type': 'Bungalow', 'local-authority-label': 'Hammersmith and Fulham',
-     'fixed-lighting-outlets-count': '12', 'energy-tariff': 'standard tariff', 'mechanical-ventilation': 'NO DATA!',
-     'hot-water-cost-current': '259', 'county': 'Greater London Authority', 'postcode': 'W6 7RQ',
-     'solar-water-heating-flag': '', 'constituency': 'E14000726', 'co2-emissions-potential': '1.2',
-     'number-heated-rooms': '', 'floor-description': 'Average thermal transmittance 0.15 W/m-¦K',
-     'energy-consumption-potential': '119', 'local-authority': 'E09000013', 'built-form': 'End-Terrace',
-     'number-open-fireplaces': '0', 'windows-description': 'High performance glazing', 'glazed-area': 'NO DATA!',
-     'inspection-date': '2018-10-29', 'mains-gas-flag': '', 'co2-emiss-curr-per-floor-area': '44',
-     'address1': '1d, Cromwell Grove', 'heat-loss-corridor': 'NO DATA!', 'flat-storey-count': '',
-     'constituency-label': 'Hammersmith', 'roof-energy-eff': 'Very Good', 'total-floor-area': '58.0',
-     'building-reference-number': '9713111678', 'environment-impact-current': '62', 'co2-emissions-current': '2.5',
-     'roof-description': 'Average thermal transmittance 0.13 W/m-¦K', 'floor-energy-eff': 'Very Good',
-     'number-habitable-rooms': '', 'address2': '', 'hot-water-env-eff': 'Poor', 'posttown': 'LONDON',
-     'mainheatc-energy-eff': 'Good', 'main-fuel': 'Electricity: electricity, unspecified tariff',
-     'lighting-env-eff': 'Very Good', 'windows-energy-eff': 'Very Good', 'floor-env-eff': 'Very Good',
-     'sheating-env-eff': 'N/A', 'lighting-description': 'Low energy lighting in all fixed outlets',
-     'roof-env-eff': 'Very Good', 'walls-energy-eff': 'Very Good', 'photo-supply': '', 'lighting-cost-potential': '44',
-     'mainheat-env-eff': 'Poor', 'multi-glaze-proportion': '', 'main-heating-controls': '',
-     'lodgement-datetime': '2018-10-29 15:20:04', 'flat-top-storey': '', 'current-energy-rating': 'D',
-     'secondheat-description': 'None', 'walls-env-eff': 'Very Good', 'transaction-type': 'new dwelling',
-     'uprn': '34162683', 'current-energy-efficiency': '58', 'energy-consumption-current': '258',
-     'mainheat-description': 'Room heaters, electric', 'lighting-cost-current': '44', 'lodgement-date': '2018-10-29',
-     'extension-count': '', 'mainheatc-env-eff': 'Good', 'lmk-key': '1674707719262018102915200471818698',
-     'wind-turbine-count': '', 'tenure': 'owner-occupied', 'floor-level': 'NO DATA!',
-     'potential-energy-efficiency': '77', 'hot-water-energy-eff': 'Very Poor', 'low-energy-lighting': '100',
-     'walls-description': 'Average thermal transmittance 0.26 W/m-¦K',
-     'hotwater-description': 'Electric immersion, standard tariff'},
-    {'low-energy-fixed-light-count': '1', 'address': 'The School House, Burlington Danes Academy, Wood Lane',
-     'uprn-source': '', 'floor-height': '', 'heating-cost-potential': '629', 'unheated-corridor-length': '',
-     'hot-water-cost-potential': '89', 'construction-age-band': 'NO DATA!', 'potential-energy-rating': 'C',
-     'mainheat-energy-eff': 'Very Poor', 'windows-env-eff': 'Very Good', 'lighting-energy-eff': 'Very Good',
-     'environment-impact-potential': '78', 'glazed-type': 'NO DATA!', 'heating-cost-current': '629',
-     'address3': 'Wood Lane', 'mainheatcont-description': 'Programmer and appliance thermostats',
-     'sheating-energy-eff': 'N/A', 'property-type': 'Bungalow', 'local-authority-label': 'Hammersmith and Fulham',
-     'fixed-lighting-outlets-count': '1', 'energy-tariff': 'standard tariff', 'mechanical-ventilation': 'NO DATA!',
-     'hot-water-cost-current': '205', 'county': 'Greater London Authority', 'postcode': 'W12 0HL',
-     'solar-water-heating-flag': '', 'constituency': 'E14000726', 'co2-emissions-potential': '1.7',
-     'number-heated-rooms': '', 'floor-description': 'Average thermal transmittance 0.22 W/m-¦K',
-     'energy-consumption-potential': '111', 'local-authority': 'E09000013', 'built-form': 'Detached',
-     'number-open-fireplaces': '0', 'windows-description': 'High performance glazing', 'glazed-area': 'NO DATA!',
-     'inspection-date': '2018-02-01', 'mains-gas-flag': '', 'co2-emiss-curr-per-floor-area': '35',
-     'address1': 'The School House', 'heat-loss-corridor': 'NO DATA!', 'flat-storey-count': '',
-     'constituency-label': 'Hammersmith', 'roof-energy-eff': 'Very Good', 'total-floor-area': '86.0',
-     'building-reference-number': '6433906578', 'environment-impact-current': '65', 'co2-emissions-current': '3.0',
-     'roof-description': 'Average thermal transmittance 0.13 W/m-¦K', 'floor-energy-eff': 'Good',
-     'number-habitable-rooms': '', 'address2': 'Burlington Danes Academy', 'hot-water-env-eff': 'Very Poor',
-     'posttown': 'LONDON', 'mainheatc-energy-eff': 'Good', 'main-fuel': 'Electricity: electricity, unspecified tariff',
-     'lighting-env-eff': 'Very Good', 'windows-energy-eff': 'Very Good', 'floor-env-eff': 'Good',
-     'sheating-env-eff': 'N/A', 'lighting-description': 'Low energy lighting in all fixed outlets',
-     'roof-env-eff': 'Very Good', 'walls-energy-eff': 'Very Good', 'photo-supply': '', 'lighting-cost-potential': '59',
-     'mainheat-env-eff': 'Poor', 'multi-glaze-proportion': '', 'main-heating-controls': '',
-     'lodgement-datetime': '2018-02-01 10:13:11', 'flat-top-storey': '', 'current-energy-rating': 'D',
-     'secondheat-description': 'Room heaters, dual fuel (mineral and wood)', 'walls-env-eff': 'Very Good',
-     'transaction-type': 'new dwelling', 'uprn': '', 'current-energy-efficiency': '63',
-     'energy-consumption-current': '200', 'mainheat-description': 'Room heaters, electric',
-     'lighting-cost-current': '59', 'lodgement-date': '2018-02-01', 'extension-count': '', 'mainheatc-env-eff': 'Good',
-     'lmk-key': '1604639899062018020110131146898768', 'wind-turbine-count': '', 'tenure': 'unknown',
-     'floor-level': 'NO DATA!', 'potential-energy-efficiency': '77', 'hot-water-energy-eff': 'Very Poor',
-     'low-energy-lighting': '100', 'walls-description': 'Average thermal transmittance 0.15 W/m-¦K',
-     'hotwater-description': 'Electric instantaneous at point of use'},
-    {'low-energy-fixed-light-count': '14', 'address': '3 Victor Wilkins Bungalows, Peabody Estate, Fulham Palace Road',
-     'uprn-source': 'Address Matched', 'floor-height': '', 'heating-cost-potential': '434',
-     'unheated-corridor-length': '', 'hot-water-cost-potential': '79', 'construction-age-band': 'NO DATA!',
-     'potential-energy-rating': 'C', 'mainheat-energy-eff': 'Good', 'windows-env-eff': 'Very Good',
-     'lighting-energy-eff': 'Very Good', 'environment-impact-potential': '77', 'glazed-type': 'NO DATA!',
-     'heating-cost-current': '434', 'address3': 'Fulham Palace Road',
-     'mainheatcont-description': 'Time and temperature zone control', 'sheating-energy-eff': 'N/A',
-     'property-type': 'Bungalow', 'local-authority-label': 'Hammersmith and Fulham',
-     'fixed-lighting-outlets-count': '14', 'energy-tariff': 'standard tariff', 'mechanical-ventilation': 'NO DATA!',
-     'hot-water-cost-current': '79', 'county': 'Greater London Authority', 'postcode': 'W6 9FU',
-     'solar-water-heating-flag': '', 'constituency': 'E14000726', 'co2-emissions-potential': '2.0',
-     'number-heated-rooms': '', 'floor-description': 'Average thermal transmittance 0.15 W/m-¦K',
-     'energy-consumption-potential': '148', 'local-authority': 'E09000013', 'built-form': 'End-Terrace',
-     'number-open-fireplaces': '0', 'windows-description': 'High performance glazing', 'glazed-area': 'NO DATA!',
-     'inspection-date': '2015-02-11', 'mains-gas-flag': '', 'co2-emiss-curr-per-floor-area': '28',
-     'address1': '3 Victor Wilkins Bungalows', 'heat-loss-corridor': 'NO DATA!', 'flat-storey-count': '',
-     'constituency-label': 'Hammersmith', 'roof-energy-eff': 'Very Good', 'total-floor-area': '72.0',
-     'building-reference-number': '8344023378', 'environment-impact-current': '77', 'co2-emissions-current': '2.0',
-     'roof-description': 'Average thermal transmittance 0.12 W/m-¦K', 'floor-energy-eff': 'Very Good',
-     'number-habitable-rooms': '', 'address2': 'Peabody Estate', 'hot-water-env-eff': 'Good', 'posttown': 'LONDON',
-     'mainheatc-energy-eff': 'Very Good',
-     'main-fuel': 'mains gas - this is for backwards compatibility only and should not be used',
-     'lighting-env-eff': 'Very Good', 'windows-energy-eff': 'Very Good', 'floor-env-eff': 'Very Good',
-     'sheating-env-eff': 'N/A', 'lighting-description': 'Low energy lighting in all fixed outlets',
-     'roof-env-eff': 'Very Good', 'walls-energy-eff': 'Very Good', 'photo-supply': '', 'lighting-cost-potential': '47',
-     'mainheat-env-eff': 'Good', 'multi-glaze-proportion': '', 'main-heating-controls': '',
-     'lodgement-datetime': '2015-02-12 17:44:45', 'flat-top-storey': '', 'current-energy-rating': 'C',
-     'secondheat-description': 'None', 'walls-env-eff': 'Very Good', 'transaction-type': 'new dwelling',
-     'uprn': '34155690', 'current-energy-efficiency': '75', 'energy-consumption-current': '148',
-     'mainheat-description': 'Boiler and radiators, mains gas', 'lighting-cost-current': '47',
-     'lodgement-date': '2015-02-12', 'extension-count': '', 'mainheatc-env-eff': 'Very Good',
-     'lmk-key': '1281430909922015021217444533598985', 'wind-turbine-count': '', 'tenure': 'unknown',
-     'floor-level': 'NO DATA!', 'potential-energy-efficiency': '75', 'hot-water-energy-eff': 'Good',
-     'low-energy-lighting': '', 'walls-description': 'Average thermal transmittance 0.18 W/m-¦K',
-     'hotwater-description': 'From main system'},
-    {'low-energy-fixed-light-count': '18', 'address': '1 Pugin Bungalow, Peabody Estate, Fulham Palace Road',
-     'uprn-source': 'Address Matched', 'floor-height': '', 'heating-cost-potential': '497',
-     'unheated-corridor-length': '', 'hot-water-cost-potential': '85', 'construction-age-band': 'NO DATA!',
-     'potential-energy-rating': 'C', 'mainheat-energy-eff': 'Good', 'windows-env-eff': 'Very Good',
-     'lighting-energy-eff': 'Very Good', 'environment-impact-potential': '76', 'glazed-type': 'NO DATA!',
-     'heating-cost-current': '497', 'address3': 'Fulham Palace Road',
-     'mainheatcont-description': 'Time and temperature zone control', 'sheating-energy-eff': 'N/A',
-     'property-type': 'Bungalow', 'local-authority-label': 'Hammersmith and Fulham',
-     'fixed-lighting-outlets-count': '18', 'energy-tariff': 'standard tariff', 'mechanical-ventilation': 'NO DATA!',
-     'hot-water-cost-current': '85', 'county': 'Greater London Authority', 'postcode': 'W6 9FU',
-     'solar-water-heating-flag': '', 'constituency': 'E14000726', 'co2-emissions-potential': '2.4',
-     'number-heated-rooms': '', 'floor-description': 'Average thermal transmittance 0.15 W/m-¦K',
-     'energy-consumption-potential': '140', 'local-authority': 'E09000013', 'built-form': 'Semi-Detached',
-     'number-open-fireplaces': '0', 'windows-description': 'High performance glazing', 'glazed-area': 'NO DATA!',
-     'inspection-date': '2015-02-11', 'mains-gas-flag': '', 'co2-emiss-curr-per-floor-area': '27',
-     'address1': '1 Pugin Bungalow', 'heat-loss-corridor': 'NO DATA!', 'flat-storey-count': '',
-     'constituency-label': 'Hammersmith', 'roof-energy-eff': 'Very Good', 'total-floor-area': '89.0',
-     'building-reference-number': '5204023378', 'environment-impact-current': '76', 'co2-emissions-current': '2.4',
-     'roof-description': 'Average thermal transmittance 0.11 W/m-¦K', 'floor-energy-eff': 'Very Good',
-     'number-habitable-rooms': '', 'address2': 'Peabody Estate', 'hot-water-env-eff': 'Good', 'posttown': 'LONDON',
-     'mainheatc-energy-eff': 'Very Good',
-     'main-fuel': 'mains gas - this is for backwards compatibility only and should not be used',
-     'lighting-env-eff': 'Very Good', 'windows-energy-eff': 'Very Good', 'floor-env-eff': 'Very Good',
-     'sheating-env-eff': 'N/A', 'lighting-description': 'Low energy lighting in all fixed outlets',
-     'roof-env-eff': 'Very Good', 'walls-energy-eff': 'Very Good', 'photo-supply': '', 'lighting-cost-potential': '55',
-     'mainheat-env-eff': 'Good', 'multi-glaze-proportion': '', 'main-heating-controls': '',
-     'lodgement-datetime': '2015-02-12 17:36:45', 'flat-top-storey': '', 'current-energy-rating': 'C',
-     'secondheat-description': 'None', 'walls-env-eff': 'Very Good', 'transaction-type': 'new dwelling',
-     'uprn': '34155691', 'current-energy-efficiency': '76', 'energy-consumption-current': '140',
-     'mainheat-description': 'Boiler and radiators, mains gas', 'lighting-cost-current': '55',
-     'lodgement-date': '2015-02-12', 'extension-count': '', 'mainheatc-env-eff': 'Very Good',
-     'lmk-key': '1281255029242015021217364536359498', 'wind-turbine-count': '', 'tenure': 'unknown',
-     'floor-level': 'NO DATA!', 'potential-energy-efficiency': '76', 'hot-water-energy-eff': 'Good',
-     'low-energy-lighting': '', 'walls-description': 'Average thermal transmittance 0.17 W/m-¦K',
-     'hotwater-description': 'From main system'},
-    {'low-energy-fixed-light-count': '8', 'address': '1 Victor Wilkins Bungalows, Peabody Estate, Fulham Palace Road',
-     'uprn-source': 'Address Matched', 'floor-height': '', 'heating-cost-potential': '403',
-     'unheated-corridor-length': '', 'hot-water-cost-potential': '76', 'construction-age-band': 'NO DATA!',
-     'potential-energy-rating': 'C', 'mainheat-energy-eff': 'Good', 'windows-env-eff': 'Very Good',
-     'lighting-energy-eff': 'Very Good', 'environment-impact-potential': '77', 'glazed-type': 'NO DATA!',
-     'heating-cost-current': '403', 'address3': 'Fulham Palace Road',
-     'mainheatcont-description': 'Time and temperature zone control', 'sheating-energy-eff': 'N/A',
-     'property-type': 'Bungalow', 'local-authority-label': 'Hammersmith and Fulham',
-     'fixed-lighting-outlets-count': '8', 'energy-tariff': 'standard tariff', 'mechanical-ventilation': 'NO DATA!',
-     'hot-water-cost-current': '76', 'county': 'Greater London Authority', 'postcode': 'W6 9FU',
-     'solar-water-heating-flag': '', 'constituency': 'E14000726', 'co2-emissions-potential': '1.9',
-     'number-heated-rooms': '', 'floor-description': 'Average thermal transmittance 0.15 W/m-¦K',
-     'energy-consumption-potential': '151', 'local-authority': 'E09000013', 'built-form': 'End-Terrace',
-     'number-open-fireplaces': '0', 'windows-description': 'High performance glazing', 'glazed-area': 'NO DATA!',
-     'inspection-date': '2015-02-11', 'mains-gas-flag': '', 'co2-emiss-curr-per-floor-area': '29',
-     'address1': '1 Victor Wilkins Bungalows', 'heat-loss-corridor': 'NO DATA!', 'flat-storey-count': '',
-     'constituency-label': 'Hammersmith', 'roof-energy-eff': 'Very Good', 'total-floor-area': '65.0',
-     'building-reference-number': '4824023378', 'environment-impact-current': '77', 'co2-emissions-current': '1.9',
-     'roof-description': 'Average thermal transmittance 0.12 W/m-¦K', 'floor-energy-eff': 'Very Good',
-     'number-habitable-rooms': '', 'address2': 'Peabody Estate', 'hot-water-env-eff': 'Good', 'posttown': 'LONDON',
-     'mainheatc-energy-eff': 'Very Good',
-     'main-fuel': 'mains gas - this is for backwards compatibility only and should not be used',
-     'lighting-env-eff': 'Very Good', 'windows-energy-eff': 'Very Good', 'floor-env-eff': 'Very Good',
-     'sheating-env-eff': 'N/A', 'lighting-description': 'Low energy lighting in all fixed outlets',
-     'roof-env-eff': 'Very Good', 'walls-energy-eff': 'Very Good', 'photo-supply': '', 'lighting-cost-potential': '43',
-     'mainheat-env-eff': 'Good', 'multi-glaze-proportion': '', 'main-heating-controls': '',
-     'lodgement-datetime': '2015-02-12 17:39:26', 'flat-top-storey': '', 'current-energy-rating': 'C',
-     'secondheat-description': 'None', 'walls-env-eff': 'Very Good', 'transaction-type': 'new dwelling',
-     'uprn': '34155688', 'current-energy-efficiency': '75', 'energy-consumption-current': '151',
-     'mainheat-description': 'Boiler and radiators, mains gas', 'lighting-cost-current': '43',
-     'lodgement-date': '2015-02-12', 'extension-count': '', 'mainheatc-env-eff': 'Very Good',
-     'lmk-key': '1281195060112015021217392692950438', 'wind-turbine-count': '', 'tenure': 'unknown',
-     'floor-level': 'NO DATA!', 'potential-energy-efficiency': '75', 'hot-water-energy-eff': 'Good',
-     'low-energy-lighting': '', 'walls-description': 'Average thermal transmittance 0.18 W/m-¦K',
-     'hotwater-description': 'From main system'},
-    {'low-energy-fixed-light-count': '9', 'address': '2 Victor Wilkins Bungalows, Peabody Estate, Fulham Palace Road',
-     'uprn-source': 'Address Matched', 'floor-height': '', 'heating-cost-potential': '325',
-     'unheated-corridor-length': '', 'hot-water-cost-potential': '67', 'construction-age-band': 'NO DATA!',
-     'potential-energy-rating': 'C', 'mainheat-energy-eff': 'Good', 'windows-env-eff': 'Very Good',
-     'lighting-energy-eff': 'Very Good', 'environment-impact-potential': '79', 'glazed-type': 'NO DATA!',
-     'heating-cost-current': '325', 'address3': 'Fulham Palace Road',
-     'mainheatcont-description': 'Time and temperature zone control', 'sheating-energy-eff': 'N/A',
-     'property-type': 'Bungalow', 'local-authority-label': 'Hammersmith and Fulham',
-     'fixed-lighting-outlets-count': '9', 'energy-tariff': 'standard tariff', 'mechanical-ventilation': 'NO DATA!',
-     'hot-water-cost-current': '67', 'county': 'Greater London Authority', 'postcode': 'W6 9FU',
-     'solar-water-heating-flag': '', 'constituency': 'E14000726', 'co2-emissions-potential': '1.4',
-     'number-heated-rooms': '', 'floor-description': 'Average thermal transmittance 0.15 W/m-¦K',
-     'energy-consumption-potential': '156', 'local-authority': 'E09000013', 'built-form': 'Mid-Terrace',
-     'number-open-fireplaces': '0', 'windows-description': 'High performance glazing', 'glazed-area': 'NO DATA!',
-     'inspection-date': '2015-02-11', 'mains-gas-flag': '', 'co2-emiss-curr-per-floor-area': '30',
-     'address1': '2 Victor Wilkins Bungalows', 'heat-loss-corridor': 'NO DATA!', 'flat-storey-count': '',
-     'constituency-label': 'Hammersmith', 'roof-energy-eff': 'Very Good', 'total-floor-area': '48.0',
-     'building-reference-number': '4534023378', 'environment-impact-current': '79', 'co2-emissions-current': '1.4',
-     'roof-description': 'Average thermal transmittance 0.11 W/m-¦K', 'floor-energy-eff': 'Very Good',
-     'number-habitable-rooms': '', 'address2': 'Peabody Estate', 'hot-water-env-eff': 'Good', 'posttown': 'LONDON',
-     'mainheatc-energy-eff': 'Very Good',
-     'main-fuel': 'mains gas - this is for backwards compatibility only and should not be used',
-     'lighting-env-eff': 'Very Good', 'windows-energy-eff': 'Very Good', 'floor-env-eff': 'Very Good',
-     'sheating-env-eff': 'N/A', 'lighting-description': 'Low energy lighting in all fixed outlets',
-     'roof-env-eff': 'Very Good', 'walls-energy-eff': 'Very Good', 'photo-supply': '', 'lighting-cost-potential': '33',
-     'mainheat-env-eff': 'Good', 'multi-glaze-proportion': '', 'main-heating-controls': '',
-     'lodgement-datetime': '2015-02-12 17:42:21', 'flat-top-storey': '', 'current-energy-rating': 'C',
-     'secondheat-description': 'None', 'walls-env-eff': 'Very Good', 'transaction-type': 'new dwelling',
-     'uprn': '34155689', 'current-energy-efficiency': '76', 'energy-consumption-current': '156',
-     'mainheat-description': 'Boiler and radiators, mains gas', 'lighting-cost-current': '33',
-     'lodgement-date': '2015-02-12', 'extension-count': '', 'mainheatc-env-eff': 'Very Good',
-     'lmk-key': '1281177390012015021217422192950435', 'wind-turbine-count': '', 'tenure': 'unknown',
-     'floor-level': 'NO DATA!', 'potential-energy-efficiency': '76', 'hot-water-energy-eff': 'Good',
-     'low-energy-lighting': '', 'walls-description': 'Average thermal transmittance 0.17 W/m-¦K',
-     'hotwater-description': 'From main system'},
-    {'low-energy-fixed-light-count': '8', 'address': '25, Ravenscourt Gardens', 'uprn-source': 'Address Matched',
-     'floor-height': '', 'heating-cost-potential': '198', 'unheated-corridor-length': '',
-     'hot-water-cost-potential': '41', 'construction-age-band': 'NO DATA!', 'potential-energy-rating': 'B',
-     'mainheat-energy-eff': 'Good', 'windows-env-eff': 'Very Good', 'lighting-energy-eff': 'Very Good',
-     'environment-impact-potential': '89', 'glazed-type': 'NO DATA!', 'heating-cost-current': '198', 'address3': '',
-     'mainheatcont-description': 'Time and temperature zone control', 'sheating-energy-eff': 'N/A',
-     'property-type': 'Bungalow', 'local-authority-label': 'Hammersmith and Fulham',
-     'fixed-lighting-outlets-count': '8', 'energy-tariff': 'standard tariff', 'mechanical-ventilation': 'NO DATA!',
-     'hot-water-cost-current': '69', 'county': 'Greater London Authority', 'postcode': 'W6 0TU',
-     'solar-water-heating-flag': '', 'constituency': 'E14000726', 'co2-emissions-potential': '0.6',
-     'number-heated-rooms': '', 'floor-description': 'Average thermal transmittance 0.14 W/m-¦K',
-     'energy-consumption-potential': '93', 'local-authority': 'E09000013', 'built-form': 'Detached',
-     'number-open-fireplaces': '0', 'windows-description': 'High performance glazing', 'glazed-area': 'NO DATA!',
-     'inspection-date': '2014-11-07', 'mains-gas-flag': '', 'co2-emiss-curr-per-floor-area': '21',
-     'address1': '25, Ravenscourt Gardens', 'heat-loss-corridor': 'NO DATA!', 'flat-storey-count': '',
-     'constituency-label': 'Hammersmith', 'roof-energy-eff': 'Good', 'total-floor-area': '36.0',
-     'building-reference-number': '8243769278', 'environment-impact-current': '87', 'co2-emissions-current': '0.7',
-     'roof-description': 'Average thermal transmittance 0.15 W/m-¦K', 'floor-energy-eff': 'Very Good',
-     'number-habitable-rooms': '', 'address2': '', 'hot-water-env-eff': 'Good', 'posttown': 'LONDON',
-     'mainheatc-energy-eff': 'Very Good',
-     'main-fuel': 'mains gas - this is for backwards compatibility only and should not be used',
-     'lighting-env-eff': 'Very Good', 'windows-energy-eff': 'Very Good', 'floor-env-eff': 'Very Good',
-     'sheating-env-eff': 'N/A', 'lighting-description': 'Low energy lighting in all fixed outlets',
-     'roof-env-eff': 'Good', 'walls-energy-eff': 'Very Good', 'photo-supply': '', 'lighting-cost-potential': '26',
-     'mainheat-env-eff': 'Good', 'multi-glaze-proportion': '', 'main-heating-controls': '',
-     'lodgement-datetime': '2014-11-07 10:41:55', 'flat-top-storey': '', 'current-energy-rating': 'B',
-     'secondheat-description': 'None', 'walls-env-eff': 'Very Good', 'transaction-type': 'new dwelling',
-     'uprn': '34153661', 'current-energy-efficiency': '81', 'energy-consumption-current': '117',
-     'mainheat-description': 'Boiler and underfloor heating, mains gas', 'lighting-cost-current': '26',
-     'lodgement-date': '2014-11-07', 'extension-count': '', 'mainheatc-env-eff': 'Very Good',
-     'lmk-key': '1231486579062014110710415529438084', 'wind-turbine-count': '', 'tenure': 'unknown',
-     'floor-level': 'NO DATA!', 'potential-energy-efficiency': '83', 'hot-water-energy-eff': 'Good',
-     'low-energy-lighting': '', 'walls-description': 'Average thermal transmittance 0.22 W/m-¦K',
-     'hotwater-description': 'From main system'},
-    {'low-energy-fixed-light-count': '', 'address': 'Flat 5, 197-199 North End Road,', 'uprn-source': '',
-     'floor-height': '2.75', 'heating-cost-potential': '716', 'unheated-corridor-length': '',
-     'hot-water-cost-potential': '262', 'construction-age-band': '2023', 'potential-energy-rating': 'C',
-     'mainheat-energy-eff': 'Good', 'windows-env-eff': 'Very Good', 'lighting-energy-eff': 'Very Good',
-     'environment-impact-potential': '77', 'glazed-type': '', 'heating-cost-current': '716', 'address3': '',
-     'mainheatcont-description': 'Programmer, room thermostat and TRVs', 'sheating-energy-eff': 'N/A',
-     'property-type': 'Flat', 'local-authority-label': 'Hammersmith and Fulham', 'fixed-lighting-outlets-count': '21',
-     'energy-tariff': 'standard tariff', 'mechanical-ventilation': '', 'hot-water-cost-current': '262', 'county': '',
-     'postcode': 'W14 9NL', 'solar-water-heating-flag': '', 'constituency': 'E14000726',
-     'co2-emissions-potential': '2.2', 'number-heated-rooms': '',
-     'floor-description': 'Average thermal transmittance 0.31 W/m-¦K', 'energy-consumption-potential': '109',
-     'local-authority': 'E09000013', 'built-form': 'Mid-Terrace', 'number-open-fireplaces': '0',
-     'windows-description': 'High performance glazing', 'glazed-area': '', 'inspection-date': '2023-04-29',
-     'mains-gas-flag': '', 'co2-emiss-curr-per-floor-area': '19', 'address1': 'Flat 5', 'heat-loss-corridor': '',
-     'flat-storey-count': '', 'constituency-label': 'Hammersmith', 'roof-energy-eff': 'Very Good',
-     'total-floor-area': '112.0', 'building-reference-number': '10004366541', 'environment-impact-current': '77',
-     'co2-emissions-current': '2.2', 'roof-description': 'Average thermal transmittance 0.14 W/m-¦K',
-     'floor-energy-eff': 'Average', 'number-habitable-rooms': '', 'address2': '197-199 North End Road,',
-     'hot-water-env-eff': 'Good', 'posttown': 'LONDON', 'mainheatc-energy-eff': 'Good', 'main-fuel': 'Gas: mains gas',
-     'lighting-env-eff': 'Very Good', 'windows-energy-eff': 'Very Good', 'floor-env-eff': 'Average',
-     'sheating-env-eff': 'N/A', 'lighting-description': 'Low energy lighting in all fixed outlets',
-     'roof-env-eff': 'Very Good', 'walls-energy-eff': 'Very Good', 'photo-supply': '', 'lighting-cost-potential': '167',
-     'mainheat-env-eff': 'Good', 'multi-glaze-proportion': '100', 'main-heating-controls': '',
-     'lodgement-datetime': '2023-04-29 19:00:05', 'flat-top-storey': 'Y', 'current-energy-rating': 'C',
-     'secondheat-description': 'None', 'walls-env-eff': 'Very Good', 'transaction-type': 'not sale or rental',
-     'uprn': '', 'current-energy-efficiency': '78', 'energy-consumption-current': '109',
-     'mainheat-description': 'Boiler and radiators, mains gas', 'lighting-cost-current': '167',
-     'lodgement-date': '2023-04-29', 'extension-count': '', 'mainheatc-env-eff': 'Good',
-     'lmk-key': '4fa22ecbdf199782db9090216eee5f04337864e0393ed6898aaccedac2dec0ed', 'wind-turbine-count': '0',
-     'tenure': 'Not defined - use in the case of a new dwelling for which the intended tenure in not known. It is no',
-     'floor-level': '3', 'potential-energy-efficiency': '78', 'hot-water-energy-eff': 'Good',
-     'low-energy-lighting': '100', 'walls-description': 'Average thermal transmittance 0.24 W/m-¦K',
-     'hotwater-description': 'From main system'},
-    {'low-energy-fixed-light-count': '', 'address': 'Flat 4, 14 Bloemfontein Road', 'uprn-source': 'Energy Assessor',
-     'floor-height': '2.65', 'heating-cost-potential': '618', 'unheated-corridor-length': '',
-     'hot-water-cost-potential': '335', 'construction-age-band': '2021', 'potential-energy-rating': 'C',
-     'mainheat-energy-eff': 'Very Poor', 'windows-env-eff': 'Very Good', 'lighting-energy-eff': 'Very Good',
-     'environment-impact-potential': '73', 'glazed-type': '', 'heating-cost-current': '618', 'address3': '',
-     'mainheatcont-description': 'Time and temperature zone control', 'sheating-energy-eff': 'N/A',
-     'property-type': 'Flat', 'local-authority-label': 'Hammersmith and Fulham', 'fixed-lighting-outlets-count': '10',
-     'energy-tariff': 'standard tariff', 'mechanical-ventilation': '', 'hot-water-cost-current': '335', 'county': '',
-     'postcode': 'W12 7BX', 'solar-water-heating-flag': '', 'constituency': 'E14000726',
-     'co2-emissions-potential': '1.4', 'number-heated-rooms': '',
-     'floor-description': 'Average thermal transmittance 0.19 W/m-¦K', 'energy-consumption-potential': '211',
-     'local-authority': 'E09000013', 'built-form': 'Mid-Terrace', 'number-open-fireplaces': '0',
-     'windows-description': 'High performance glazing', 'glazed-area': '', 'inspection-date': '2023-04-17',
-     'mains-gas-flag': '', 'co2-emiss-curr-per-floor-area': '36', 'address1': 'Flat 4', 'heat-loss-corridor': '',
-     'flat-storey-count': '', 'constituency-label': 'Hammersmith', 'roof-energy-eff': 'Good',
-     'total-floor-area': '40.0', 'building-reference-number': '10004364259', 'environment-impact-current': '73',
-     'co2-emissions-current': '1.4', 'roof-description': 'Average thermal transmittance 0.16 W/m-¦K',
-     'floor-energy-eff': 'Very Good', 'number-habitable-rooms': '', 'address2': '14 Bloemfontein Road',
-     'hot-water-env-eff': 'Poor', 'posttown': 'LONDON', 'mainheatc-energy-eff': 'Very Good',
-     'main-fuel': 'Electricity: electricity, unspecified tariff', 'lighting-env-eff': 'Very Good',
-     'windows-energy-eff': 'Very Good', 'floor-env-eff': 'Very Good', 'sheating-env-eff': 'N/A',
-     'lighting-description': 'Low energy lighting in all fixed outlets', 'roof-env-eff': 'Good',
-     'walls-energy-eff': 'Very Good', 'photo-supply': '', 'lighting-cost-potential': '72', 'mainheat-env-eff': 'Poor',
-     'multi-glaze-proportion': '100', 'main-heating-controls': '', 'lodgement-datetime': '2023-04-17 14:07:33',
-     'flat-top-storey': 'Y', 'current-energy-rating': 'C', 'secondheat-description': 'None',
-     'walls-env-eff': 'Very Good', 'transaction-type': 'new dwelling', 'uprn': '34172210',
-     'current-energy-efficiency': '70', 'energy-consumption-current': '211',
-     'mainheat-description': 'Boiler and radiators, electric', 'lighting-cost-current': '72',
-     'lodgement-date': '2023-04-17', 'extension-count': '', 'mainheatc-env-eff': 'Very Good',
-     'lmk-key': '2b4a0154ae9dc85a8654e23a76fc04bb814ed038dde521a27db6e1f29e260b06', 'wind-turbine-count': '0',
-     'tenure': 'Owner-occupied', 'floor-level': '3', 'potential-energy-efficiency': '70',
-     'hot-water-energy-eff': 'Very Poor', 'low-energy-lighting': '100',
-     'walls-description': 'Average thermal transmittance 0.29 W/m-¦K',
-     'hotwater-description': 'Electric instantaneous at point of use'},
-    {'low-energy-fixed-light-count': '', 'address': 'Flat 1, 14 Bloemfontein Road', 'uprn-source': 'Energy Assessor',
-     'floor-height': '2.1', 'heating-cost-potential': '644', 'unheated-corridor-length': '',
-     'hot-water-cost-potential': '214', 'construction-age-band': '2021', 'potential-energy-rating': 'C',
-     'mainheat-energy-eff': 'Good', 'windows-env-eff': 'Very Good', 'lighting-energy-eff': 'Very Good',
-     'environment-impact-potential': '77', 'glazed-type': '', 'heating-cost-current': '644', 'address3': '',
-     'mainheatcont-description': 'Programmer, room thermostat and TRVs', 'sheating-energy-eff': 'N/A',
-     'property-type': 'Flat', 'local-authority-label': 'Hammersmith and Fulham', 'fixed-lighting-outlets-count': '12',
-     'energy-tariff': 'standard tariff', 'mechanical-ventilation': '', 'hot-water-cost-current': '214', 'county': '',
-     'postcode': 'W12 7BX', 'solar-water-heating-flag': '', 'constituency': 'E14000726',
-     'co2-emissions-potential': '1.8', 'number-heated-rooms': '',
-     'floor-description': 'Average thermal transmittance 0.19 W/m-¦K', 'energy-consumption-potential': '128',
-     'local-authority': 'E09000013', 'built-form': 'Mid-Terrace', 'number-open-fireplaces': '0',
-     'windows-description': 'High performance glazing', 'glazed-area': '', 'inspection-date': '2023-04-17',
-     'mains-gas-flag': '', 'co2-emiss-curr-per-floor-area': '22', 'address1': 'Flat 1', 'heat-loss-corridor': '',
-     'flat-storey-count': '', 'constituency-label': 'Hammersmith', 'roof-energy-eff': 'Good',
-     'total-floor-area': '82.0', 'building-reference-number': '10004350634', 'environment-impact-current': '77',
-     'co2-emissions-current': '1.8', 'roof-description': 'Average thermal transmittance 0.17 W/m-¦K',
-     'floor-energy-eff': 'Very Good', 'number-habitable-rooms': '', 'address2': '14 Bloemfontein Road',
-     'hot-water-env-eff': 'Good', 'posttown': 'LONDON', 'mainheatc-energy-eff': 'Good', 'main-fuel': 'Gas: mains gas',
-     'lighting-env-eff': 'Very Good', 'windows-energy-eff': 'Very Good', 'floor-env-eff': 'Very Good',
-     'sheating-env-eff': 'N/A', 'lighting-description': 'Low energy lighting in all fixed outlets',
-     'roof-env-eff': 'Good', 'walls-energy-eff': 'Very Good', 'photo-supply': '', 'lighting-cost-potential': '129',
-     'mainheat-env-eff': 'Good', 'multi-glaze-proportion': '100', 'main-heating-controls': '',
-     'lodgement-datetime': '2023-04-17 14:07:29', 'flat-top-storey': 'N', 'current-energy-rating': 'C',
-     'secondheat-description': 'None', 'walls-env-eff': 'Very Good', 'transaction-type': 'new dwelling',
-     'uprn': '34172207', 'current-energy-efficiency': '78', 'energy-consumption-current': '128',
-     'mainheat-description': 'Boiler and radiators, mains gas', 'lighting-cost-current': '129',
-     'lodgement-date': '2023-04-17', 'extension-count': '', 'mainheatc-env-eff': 'Good',
-     'lmk-key': '006f849816dd0a4be832d2f068d858b6c9854c3814297d974c2b57f983191614', 'wind-turbine-count': '0',
-     'tenure': 'Owner-occupied', 'floor-level': '1', 'potential-energy-efficiency': '78',
-     'hot-water-energy-eff': 'Good', 'low-energy-lighting': '100',
-     'walls-description': 'Average thermal transmittance 0.28 W/m-¦K', 'hotwater-description': 'From main system'},
-    {'low-energy-fixed-light-count': '', 'address': 'Flat 2, 14 Bloemfontein Road', 'uprn-source': 'Energy Assessor',
-     'floor-height': '2.7', 'heating-cost-potential': '720', 'unheated-corridor-length': '',
-     'hot-water-cost-potential': '374', 'construction-age-band': '2021', 'potential-energy-rating': 'C',
-     'mainheat-energy-eff': 'Very Poor', 'windows-env-eff': 'Very Good', 'lighting-energy-eff': 'Very Good',
-     'environment-impact-potential': '72', 'glazed-type': '', 'heating-cost-current': '720', 'address3': '',
-     'mainheatcont-description': 'Time and temperature zone control', 'sheating-energy-eff': 'N/A',
-     'property-type': 'Flat', 'local-authority-label': 'Hammersmith and Fulham', 'fixed-lighting-outlets-count': '10',
-     'energy-tariff': 'standard tariff', 'mechanical-ventilation': '', 'hot-water-cost-current': '374', 'county': '',
-     'postcode': 'W12 7BX', 'solar-water-heating-flag': '', 'constituency': 'E14000726',
-     'co2-emissions-potential': '1.7', 'number-heated-rooms': '',
-     'floor-description': 'Average thermal transmittance 0.19 W/m-¦K', 'energy-consumption-potential': '189',
-     'local-authority': 'E09000013', 'built-form': 'Mid-Terrace', 'number-open-fireplaces': '0',
-     'windows-description': 'High performance glazing', 'glazed-area': '', 'inspection-date': '2023-04-17',
-     'mains-gas-flag': '', 'co2-emiss-curr-per-floor-area': '32', 'address1': 'Flat 2', 'heat-loss-corridor': '',
-     'flat-storey-count': '', 'constituency-label': 'Hammersmith', 'roof-energy-eff': 'Very Good',
-     'total-floor-area': '52.0', 'building-reference-number': '10004357130', 'environment-impact-current': '72',
-     'co2-emissions-current': '1.7', 'roof-description': 'Average thermal transmittance 0.11 W/m-¦K',
-     'floor-energy-eff': 'Very Good', 'number-habitable-rooms': '', 'address2': '14 Bloemfontein Road',
-     'hot-water-env-eff': 'Poor', 'posttown': 'LONDON', 'mainheatc-energy-eff': 'Very Good',
-     'main-fuel': 'Electricity: electricity, unspecified tariff', 'lighting-env-eff': 'Very Good',
-     'windows-energy-eff': 'Very Good', 'floor-env-eff': 'Very Good', 'sheating-env-eff': 'N/A',
-     'lighting-description': 'Low energy lighting in all fixed outlets', 'roof-env-eff': 'Very Good',
-     'walls-energy-eff': 'Good', 'photo-supply': '', 'lighting-cost-potential': '89', 'mainheat-env-eff': 'Poor',
-     'multi-glaze-proportion': '100', 'main-heating-controls': '', 'lodgement-datetime': '2023-04-17 14:07:31',
-     'flat-top-storey': 'N', 'current-energy-rating': 'C', 'secondheat-description': 'None', 'walls-env-eff': 'Good',
-     'transaction-type': 'new dwelling', 'uprn': '34172208', 'current-energy-efficiency': '69',
-     'energy-consumption-current': '189', 'mainheat-description': 'Boiler and radiators, electric',
-     'lighting-cost-current': '89', 'lodgement-date': '2023-04-17', 'extension-count': '',
-     'mainheatc-env-eff': 'Very Good', 'lmk-key': '617063b16faf77c38c0d8784af28ec4f60cc2ab6bf9857b29797172b557ba5c9',
-     'wind-turbine-count': '0', 'tenure': 'Owner-occupied', 'floor-level': '2', 'potential-energy-efficiency': '69',
-     'hot-water-energy-eff': 'Very Poor', 'low-energy-lighting': '100',
-     'walls-description': 'Average thermal transmittance 0.30 W/m-¦K',
-     'hotwater-description': 'Electric instantaneous at point of use'},
-    {'low-energy-fixed-light-count': '', 'address': 'Flat 2, 41 Bloemfontein Road', 'uprn-source': 'Energy Assessor',
-     'floor-height': '2.6', 'heating-cost-potential': '779', 'unheated-corridor-length': '',
-     'hot-water-cost-potential': '403', 'construction-age-band': '2021', 'potential-energy-rating': 'C',
-     'mainheat-energy-eff': 'Very Poor', 'windows-env-eff': 'Very Good', 'lighting-energy-eff': 'Very Good',
-     'environment-impact-potential': '72', 'glazed-type': '', 'heating-cost-current': '779', 'address3': '',
-     'mainheatcont-description': 'Time and temperature zone control', 'sheating-energy-eff': 'N/A',
-     'property-type': 'Flat', 'local-authority-label': 'Hammersmith and Fulham', 'fixed-lighting-outlets-count': '10',
-     'energy-tariff': 'standard tariff', 'mechanical-ventilation': '', 'hot-water-cost-current': '403', 'county': '',
-     'postcode': 'W12 7BH', 'solar-water-heating-flag': '', 'constituency': 'E14000726',
-     'co2-emissions-potential': '1.8', 'number-heated-rooms': '',
-     'floor-description': 'Average thermal transmittance 0.19 W/m-¦K', 'energy-consumption-potential': '177',
-     'local-authority': 'E09000013', 'built-form': 'Mid-Terrace', 'number-open-fireplaces': '0',
-     'windows-description': 'High performance glazing', 'glazed-area': '', 'inspection-date': '2023-04-17',
-     'mains-gas-flag': '', 'co2-emiss-curr-per-floor-area': '30', 'address1': 'Flat 2', 'heat-loss-corridor': '',
-     'flat-storey-count': '', 'constituency-label': 'Hammersmith', 'roof-energy-eff': 'Very Good',
-     'total-floor-area': '61.0', 'building-reference-number': '10004357458', 'environment-impact-current': '72',
-     'co2-emissions-current': '1.8', 'roof-description': 'Average thermal transmittance 0.14 W/m-¦K',
-     'floor-energy-eff': 'Very Good', 'number-habitable-rooms': '', 'address2': '41 Bloemfontein Road',
-     'hot-water-env-eff': 'Poor', 'posttown': 'LONDON', 'mainheatc-energy-eff': 'Very Good',
-     'main-fuel': 'Electricity: electricity, unspecified tariff', 'lighting-env-eff': 'Very Good',
-     'windows-energy-eff': 'Very Good', 'floor-env-eff': 'Very Good', 'sheating-env-eff': 'N/A',
-     'lighting-description': 'Low energy lighting in all fixed outlets', 'roof-env-eff': 'Very Good',
-     'walls-energy-eff': 'Good', 'photo-supply': '', 'lighting-cost-potential': '106', 'mainheat-env-eff': 'Poor',
-     'multi-glaze-proportion': '100', 'main-heating-controls': '', 'lodgement-datetime': '2023-04-17 14:15:14',
-     'flat-top-storey': 'N', 'current-energy-rating': 'C', 'secondheat-description': 'None', 'walls-env-eff': 'Good',
-     'transaction-type': 'new dwelling', 'uprn': '34172205', 'current-energy-efficiency': '69',
-     'energy-consumption-current': '177', 'mainheat-description': 'Boiler and radiators, electric',
-     'lighting-cost-current': '106', 'lodgement-date': '2023-04-17', 'extension-count': '',
-     'mainheatc-env-eff': 'Very Good', 'lmk-key': '6959dda1a3323ab73487baf8c7c071d5ed4ae48e405905c71779904c454e6513',
-     'wind-turbine-count': '0', 'tenure': 'Owner-occupied', 'floor-level': '2', 'potential-energy-efficiency': '69',
-     'hot-water-energy-eff': 'Very Poor', 'low-energy-lighting': '100',
-     'walls-description': 'Average thermal transmittance 0.30 W/m-¦K',
-     'hotwater-description': 'Electric instantaneous at point of use'},
-    {'low-energy-fixed-light-count': '', 'address': 'Flat 1, 41 Bloemfontein Road', 'uprn-source': 'Energy Assessor',
-     'floor-height': '2.15', 'heating-cost-potential': '674', 'unheated-corridor-length': '',
-     'hot-water-cost-potential': '225', 'construction-age-band': '2021', 'potential-energy-rating': 'C',
-     'mainheat-energy-eff': 'Good', 'windows-env-eff': 'Very Good', 'lighting-energy-eff': 'Very Good',
-     'environment-impact-potential': '79', 'glazed-type': '', 'heating-cost-current': '674', 'address3': '',
-     'mainheatcont-description': 'Time and temperature zone control', 'sheating-energy-eff': 'N/A',
-     'property-type': 'Flat', 'local-authority-label': 'Hammersmith and Fulham', 'fixed-lighting-outlets-count': '12',
-     'energy-tariff': 'standard tariff', 'mechanical-ventilation': '', 'hot-water-cost-current': '225', 'county': '',
-     'postcode': 'W12 7BH', 'solar-water-heating-flag': '', 'constituency': 'E14000726',
-     'co2-emissions-potential': '2.0', 'number-heated-rooms': '',
-     'floor-description': 'Average thermal transmittance 0.19 W/m-¦K', 'energy-consumption-potential': '108',
-     'local-authority': 'E09000013', 'built-form': 'Mid-Terrace', 'number-open-fireplaces': '0',
-     'windows-description': 'High performance glazing', 'glazed-area': '', 'inspection-date': '2023-04-17',
-     'mains-gas-flag': '', 'co2-emiss-curr-per-floor-area': '19', 'address1': 'Flat 1', 'heat-loss-corridor': '',
-     'flat-storey-count': '', 'constituency-label': 'Hammersmith', 'roof-energy-eff': 'Good',
-     'total-floor-area': '103.0', 'building-reference-number': '10004350985', 'environment-impact-current': '79',
-     'co2-emissions-current': '2.0', 'roof-description': 'Average thermal transmittance 0.16 W/m-¦K',
-     'floor-energy-eff': 'Very Good', 'number-habitable-rooms': '', 'address2': '41 Bloemfontein Road',
-     'hot-water-env-eff': 'Good', 'posttown': 'LONDON', 'mainheatc-energy-eff': 'Very Good',
-     'main-fuel': 'Gas: mains gas', 'lighting-env-eff': 'Very Good', 'windows-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'sheating-env-eff': 'N/A',
-     'lighting-description': 'Low energy lighting in all fixed outlets', 'roof-env-eff': 'Good',
-     'walls-energy-eff': 'Good', 'photo-supply': '', 'lighting-cost-potential': '152', 'mainheat-env-eff': 'Good',
-     'multi-glaze-proportion': '100', 'main-heating-controls': '', 'lodgement-datetime': '2023-04-17 14:15:13',
-     'flat-top-storey': 'N', 'current-energy-rating': 'C', 'secondheat-description': 'None', 'walls-env-eff': 'Good',
-     'transaction-type': 'new dwelling', 'uprn': '34172204', 'current-energy-efficiency': '80',
-     'energy-consumption-current': '108', 'mainheat-description': 'Boiler and radiators, mains gas',
-     'lighting-cost-current': '152', 'lodgement-date': '2023-04-17', 'extension-count': '',
-     'mainheatc-env-eff': 'Very Good', 'lmk-key': '90cc959ccbac4f38bbbe68ffd2a6d8ca75190e4670a27fdff6763ece808be2f1',
-     'wind-turbine-count': '0', 'tenure': 'Owner-occupied', 'floor-level': '1', 'potential-energy-efficiency': '80',
-     'hot-water-energy-eff': 'Good', 'low-energy-lighting': '100',
-     'walls-description': 'Average thermal transmittance 0.36 W/m-¦K', 'hotwater-description': 'From main system'},
-    {'low-energy-fixed-light-count': '', 'address': 'Flat 3, 41 Bloemfontein Road', 'uprn-source': 'Energy Assessor',
-     'floor-height': '2.65', 'heating-cost-potential': '656', 'unheated-corridor-length': '',
-     'hot-water-cost-potential': '369', 'construction-age-band': '2021', 'potential-energy-rating': 'C',
-     'mainheat-energy-eff': 'Very Poor', 'windows-env-eff': 'Very Good', 'lighting-energy-eff': 'Very Good',
-     'environment-impact-potential': '73', 'glazed-type': '', 'heating-cost-current': '656', 'address3': '',
-     'mainheatcont-description': 'Time and temperature zone control', 'sheating-energy-eff': 'N/A',
-     'property-type': 'Flat', 'local-authority-label': 'Hammersmith and Fulham', 'fixed-lighting-outlets-count': '8',
-     'energy-tariff': 'standard tariff', 'mechanical-ventilation': '', 'hot-water-cost-current': '369', 'county': '',
-     'postcode': 'W12 7BH', 'solar-water-heating-flag': '', 'constituency': 'E14000726',
-     'co2-emissions-potential': '1.6', 'number-heated-rooms': '',
-     'floor-description': 'Average thermal transmittance 0.19 W/m-¦K', 'energy-consumption-potential': '182',
-     'local-authority': 'E09000013', 'built-form': 'Mid-Terrace', 'number-open-fireplaces': '0',
-     'windows-description': 'High performance glazing', 'glazed-area': '', 'inspection-date': '2023-04-17',
-     'mains-gas-flag': '', 'co2-emiss-curr-per-floor-area': '31', 'address1': 'Flat 3', 'heat-loss-corridor': '',
-     'flat-storey-count': '', 'constituency-label': 'Hammersmith', 'roof-energy-eff': 'Good',
-     'total-floor-area': '51.0', 'building-reference-number': '10004361653', 'environment-impact-current': '73',
-     'co2-emissions-current': '1.6', 'roof-description': 'Average thermal transmittance 0.16 W/m-¦K',
-     'floor-energy-eff': 'Very Good', 'number-habitable-rooms': '', 'address2': '41 Bloemfontein Road',
-     'hot-water-env-eff': 'Poor', 'posttown': 'LONDON', 'mainheatc-energy-eff': 'Very Good',
-     'main-fuel': 'Electricity: electricity, unspecified tariff', 'lighting-env-eff': 'Very Good',
-     'windows-energy-eff': 'Very Good', 'floor-env-eff': 'Very Good', 'sheating-env-eff': 'N/A',
-     'lighting-description': 'Low energy lighting in all fixed outlets', 'roof-env-eff': 'Good',
-     'walls-energy-eff': 'Very Good', 'photo-supply': '', 'lighting-cost-potential': '88', 'mainheat-env-eff': 'Poor',
-     'multi-glaze-proportion': '100', 'main-heating-controls': '', 'lodgement-datetime': '2023-04-17 14:15:15',
-     'flat-top-storey': 'Y', 'current-energy-rating': 'C', 'secondheat-description': 'None',
-     'walls-env-eff': 'Very Good', 'transaction-type': 'new dwelling', 'uprn': '34172206',
-     'current-energy-efficiency': '71', 'energy-consumption-current': '182',
-     'mainheat-description': 'Boiler and radiators, electric', 'lighting-cost-current': '88',
-     'lodgement-date': '2023-04-17', 'extension-count': '', 'mainheatc-env-eff': 'Very Good',
-     'lmk-key': '98aefd25e8693d461c54f6a3a66246f2a20a03d82bf2575700f5fec876046fb7', 'wind-turbine-count': '0',
-     'tenure': 'Owner-occupied', 'floor-level': '3', 'potential-energy-efficiency': '71',
-     'hot-water-energy-eff': 'Very Poor', 'low-energy-lighting': '100',
-     'walls-description': 'Average thermal transmittance 0.22 W/m-¦K',
-     'hotwater-description': 'Electric instantaneous at point of use'},
-    {'low-energy-fixed-light-count': '', 'address': 'Flat 3, 14 Bloemfontein Road', 'uprn-source': 'Energy Assessor',
-     'floor-height': '2.75', 'heating-cost-potential': '433', 'unheated-corridor-length': '',
-     'hot-water-cost-potential': '296', 'construction-age-band': '2021', 'potential-energy-rating': 'C',
-     'mainheat-energy-eff': 'Very Poor', 'windows-env-eff': 'Very Good', 'lighting-energy-eff': 'Very Good',
-     'environment-impact-potential': '75', 'glazed-type': '', 'heating-cost-current': '433', 'address3': '',
-     'mainheatcont-description': 'Time and temperature zone control', 'sheating-energy-eff': 'N/A',
-     'property-type': 'Flat', 'local-authority-label': 'Hammersmith and Fulham', 'fixed-lighting-outlets-count': '6',
-     'energy-tariff': 'standard tariff', 'mechanical-ventilation': '', 'hot-water-cost-current': '296', 'county': '',
-     'postcode': 'W12 7BX', 'solar-water-heating-flag': '', 'constituency': 'E14000726',
-     'co2-emissions-potential': '1.1', 'number-heated-rooms': '',
-     'floor-description': 'Average thermal transmittance 0.19 W/m-¦K', 'energy-consumption-potential': '260',
-     'local-authority': 'E09000013', 'built-form': 'Mid-Terrace', 'number-open-fireplaces': '0',
-     'windows-description': 'High performance glazing', 'glazed-area': '', 'inspection-date': '2023-04-17',
-     'mains-gas-flag': '', 'co2-emiss-curr-per-floor-area': '44', 'address1': 'Flat 3', 'heat-loss-corridor': '',
-     'flat-storey-count': '', 'constituency-label': 'Hammersmith', 'roof-energy-eff': 'Good',
-     'total-floor-area': '25.0', 'building-reference-number': '10004361390', 'environment-impact-current': '75',
-     'co2-emissions-current': '1.1', 'roof-description': 'Average thermal transmittance 0.15 W/m-¦K',
-     'floor-energy-eff': 'Very Good', 'number-habitable-rooms': '', 'address2': '14 Bloemfontein Road',
-     'hot-water-env-eff': 'Poor', 'posttown': 'LONDON', 'mainheatc-energy-eff': 'Very Good',
-     'main-fuel': 'Electricity: electricity, unspecified tariff', 'lighting-env-eff': 'Very Good',
-     'windows-energy-eff': 'Very Good', 'floor-env-eff': 'Very Good', 'sheating-env-eff': 'N/A',
-     'lighting-description': 'Low energy lighting in all fixed outlets', 'roof-env-eff': 'Good',
-     'walls-energy-eff': 'Good', 'photo-supply': '', 'lighting-cost-potential': '50', 'mainheat-env-eff': 'Poor',
-     'multi-glaze-proportion': '100', 'main-heating-controls': '', 'lodgement-datetime': '2023-04-17 14:07:32',
-     'flat-top-storey': 'Y', 'current-energy-rating': 'C', 'secondheat-description': 'None', 'walls-env-eff': 'Good',
-     'transaction-type': 'new dwelling', 'uprn': '34172209', 'current-energy-efficiency': '72',
-     'energy-consumption-current': '260', 'mainheat-description': 'Boiler and radiators, electric',
-     'lighting-cost-current': '50', 'lodgement-date': '2023-04-17', 'extension-count': '',
-     'mainheatc-env-eff': 'Very Good', 'lmk-key': 'a7d3f17752b602b00b31000c506d814d5bf81704f8f2176555580fe3b6568bdf',
-     'wind-turbine-count': '0', 'tenure': 'Owner-occupied', 'floor-level': '3', 'potential-energy-efficiency': '72',
-     'hot-water-energy-eff': 'Very Poor', 'low-energy-lighting': '100',
-     'walls-description': 'Average thermal transmittance 0.30 W/m-¦K',
-     'hotwater-description': 'Electric instantaneous at point of use'},
-    {'low-energy-fixed-light-count': '', 'address': '143, Parkside Apartments, Cascade Way', 'uprn-source': '',
-     'floor-height': '2.5', 'heating-cost-potential': '1199', 'unheated-corridor-length': '',
-     'hot-water-cost-potential': '193', 'construction-age-band': '2020', 'potential-energy-rating': 'B',
-     'mainheat-energy-eff': 'Very Good', 'windows-env-eff': 'Very Good', 'lighting-energy-eff': 'Very Good',
-     'environment-impact-potential': '88', 'glazed-type': '', 'heating-cost-current': '1199', 'address3': 'Cascade Way',
-     'mainheatcont-description': 'Charging system linked to use of community heating, programmer and at least two '
-                                 'room stats',
-     'sheating-energy-eff': 'N/A', 'property-type': 'Flat', 'local-authority-label': 'Hammersmith and Fulham',
-     'fixed-lighting-outlets-count': '50', 'energy-tariff': 'standard tariff', 'mechanical-ventilation': '',
-     'hot-water-cost-current': '193', 'county': '', 'postcode': 'W12 7RE', 'solar-water-heating-flag': '',
-     'constituency': 'E14000726', 'co2-emissions-potential': '1.9', 'number-heated-rooms': '',
-     'floor-description': 'Average thermal transmittance 0.15 W/m-¦K', 'energy-consumption-potential': '52',
-     'local-authority': 'E09000013', 'built-form': 'Semi-Detached', 'number-open-fireplaces': '0',
-     'windows-description': 'High performance glazing', 'glazed-area': '', 'inspection-date': '2023-03-31',
-     'mains-gas-flag': '', 'co2-emiss-curr-per-floor-area': '10', 'address1': '143', 'heat-loss-corridor': '',
-     'flat-storey-count': '', 'constituency-label': 'Hammersmith', 'roof-energy-eff': 'Very Good',
-     'total-floor-area': '185.0', 'building-reference-number': '10004107647', 'environment-impact-current': '88',
-     'co2-emissions-current': '1.9', 'roof-description': 'Average thermal transmittance 0.10 W/m-¦K',
-     'floor-energy-eff': 'Very Good', 'number-habitable-rooms': '', 'address2': 'Parkside Apartments',
-     'hot-water-env-eff': 'Very Good', 'posttown': 'London', 'mainheatc-energy-eff': 'Good', 'main-fuel': '',
-     'lighting-env-eff': 'Very Good', 'windows-energy-eff': 'Very Good', 'floor-env-eff': 'Very Good',
-     'sheating-env-eff': 'N/A', 'lighting-description': 'Low energy lighting in all fixed outlets',
-     'roof-env-eff': 'Very Good', 'walls-energy-eff': 'Average', 'photo-supply': '', 'lighting-cost-potential': '207',
-     'mainheat-env-eff': 'Very Good', 'multi-glaze-proportion': '100', 'main-heating-controls': '',
-     'lodgement-datetime': '2023-03-31 05:10:35', 'flat-top-storey': 'Y', 'current-energy-rating': 'B',
-     'secondheat-description': 'None', 'walls-env-eff': 'Average', 'transaction-type': 'new dwelling', 'uprn': '',
-     'current-energy-efficiency': '82', 'energy-consumption-current': '52', 'mainheat-description': 'Community scheme',
-     'lighting-cost-current': '207', 'lodgement-date': '2023-03-31', 'extension-count': '', 'mainheatc-env-eff': 'Good',
-     'lmk-key': '76f71689c3af20210abc756f76ed244254ec5282ceb6a1b2bec48707ebc3acdf', 'wind-turbine-count': '0',
-     'tenure': 'Not defined - use in the case of a new dwelling for which the intended tenure in not known. It is no',
-     'floor-level': '3', 'potential-energy-efficiency': '82', 'hot-water-energy-eff': 'Very Good',
-     'low-energy-lighting': '100', 'walls-description': 'Average thermal transmittance 0.92 W/m-¦K',
-     'hotwater-description': 'Community scheme'},
-    {'low-energy-fixed-light-count': '', 'address': '1 Southerton Mews', 'uprn-source': '', 'floor-height': '2.45',
-     'heating-cost-potential': '226', 'unheated-corridor-length': '', 'hot-water-cost-potential': '292',
-     'construction-age-band': '2022', 'potential-energy-rating': 'B', 'mainheat-energy-eff': 'Average',
-     'windows-env-eff': 'Very Good', 'lighting-energy-eff': 'Very Good', 'environment-impact-potential': '84',
-     'glazed-type': '', 'heating-cost-current': '226', 'address3': '',
-     'mainheatcont-description': 'Programmer and room thermostat', 'sheating-energy-eff': 'N/A',
-     'property-type': 'Flat', 'local-authority-label': 'Hammersmith and Fulham', 'fixed-lighting-outlets-count': '10',
-     'energy-tariff': 'standard tariff', 'mechanical-ventilation': '', 'hot-water-cost-current': '292', 'county': '',
-     'postcode': 'W6 0PR', 'solar-water-heating-flag': '', 'constituency': 'E14000726',
-     'co2-emissions-potential': '1.4', 'number-heated-rooms': '',
-     'floor-description': 'Average thermal transmittance 0.13 W/m-¦K', 'energy-consumption-potential': '101',
-     'local-authority': 'E09000013', 'built-form': 'End-Terrace', 'number-open-fireplaces': '0',
-     'windows-description': 'High performance glazing', 'glazed-area': '', 'inspection-date': '2023-02-03',
-     'mains-gas-flag': '', 'co2-emiss-curr-per-floor-area': '17', 'address1': '1 Southerton Mews',
-     'heat-loss-corridor': '', 'flat-storey-count': '', 'constituency-label': 'Hammersmith',
-     'roof-energy-eff': 'Very Good', 'total-floor-area': '81.0', 'building-reference-number': '10003943973',
-     'environment-impact-current': '84', 'co2-emissions-current': '1.4',
-     'roof-description': 'Average thermal transmittance 0.12 W/m-¦K', 'floor-energy-eff': 'Very Good',
-     'number-habitable-rooms': '', 'address2': '', 'hot-water-env-eff': 'Average', 'posttown': 'London',
-     'mainheatc-energy-eff': 'Average', 'main-fuel': 'Electricity: electricity, unspecified tariff',
-     'lighting-env-eff': 'Very Good', 'windows-energy-eff': 'Very Good', 'floor-env-eff': 'Very Good',
-     'sheating-env-eff': 'N/A', 'lighting-description': 'Low energy lighting in all fixed outlets',
-     'roof-env-eff': 'Very Good', 'walls-energy-eff': 'Very Good', 'photo-supply': '', 'lighting-cost-potential': '84',
-     'mainheat-env-eff': 'Good', 'multi-glaze-proportion': '100', 'main-heating-controls': '',
-     'lodgement-datetime': '2023-02-03 14:12:27', 'flat-top-storey': 'N', 'current-energy-rating': 'B',
-     'secondheat-description': 'None', 'walls-env-eff': 'Very Good', 'transaction-type': 'new dwelling', 'uprn': '',
-     'current-energy-efficiency': '82', 'energy-consumption-current': '101',
-     'mainheat-description': 'Air source heat pump, radiators, electric', 'lighting-cost-current': '84',
-     'lodgement-date': '2023-02-03', 'extension-count': '', 'mainheatc-env-eff': 'Average',
-     'lmk-key': '0332b4fed03e3e6d20c869714c5c9991f1438ef62594cee4b092d55333abd494', 'wind-turbine-count': '0',
-     'tenure': 'Not defined - use in the case of a new dwelling for which the intended tenure in not known. It is no',
-     'floor-level': '1', 'potential-energy-efficiency': '82', 'hot-water-energy-eff': 'Poor',
-     'low-energy-lighting': '100', 'walls-description': 'Average thermal transmittance 0.16 W/m-¦K',
-     'hotwater-description': 'From main system'},
-    {'low-energy-fixed-light-count': '', 'address': '4 Southerton Mews', 'uprn-source': '', 'floor-height': '2.45',
-     'heating-cost-potential': '246', 'unheated-corridor-length': '', 'hot-water-cost-potential': '290',
-     'construction-age-band': '2022', 'potential-energy-rating': 'B', 'mainheat-energy-eff': 'Average',
-     'windows-env-eff': 'Very Good', 'lighting-energy-eff': 'Very Good', 'environment-impact-potential': '83',
-     'glazed-type': '', 'heating-cost-current': '246', 'address3': '',
-     'mainheatcont-description': 'Programmer and room thermostat', 'sheating-energy-eff': 'N/A',
-     'property-type': 'Flat', 'local-authority-label': 'Hammersmith and Fulham', 'fixed-lighting-outlets-count': '10',
-     'energy-tariff': 'standard tariff', 'mechanical-ventilation': '', 'hot-water-cost-current': '290', 'county': '',
-     'postcode': 'W6 0PR', 'solar-water-heating-flag': '', 'constituency': 'E14000726',
-     'co2-emissions-potential': '1.4', 'number-heated-rooms': '',
-     'floor-description': 'Average thermal transmittance 0.13 W/m-¦K', 'energy-consumption-potential': '105',
-     'local-authority': 'E09000013', 'built-form': 'End-Terrace', 'number-open-fireplaces': '0',
-     'windows-description': 'High performance glazing', 'glazed-area': '', 'inspection-date': '2023-02-03',
-     'mains-gas-flag': '', 'co2-emiss-curr-per-floor-area': '18', 'address1': '4 Southerton Mews',
-     'heat-loss-corridor': '', 'flat-storey-count': '', 'constituency-label': 'Hammersmith',
-     'roof-energy-eff': 'Very Good', 'total-floor-area': '80.0', 'building-reference-number': '10004009725',
-     'environment-impact-current': '83', 'co2-emissions-current': '1.4',
-     'roof-description': 'Average thermal transmittance 0.11 W/m-¦K', 'floor-energy-eff': 'Very Good',
-     'number-habitable-rooms': '', 'address2': '', 'hot-water-env-eff': 'Average', 'posttown': 'London',
-     'mainheatc-energy-eff': 'Average', 'main-fuel': 'Electricity: electricity, unspecified tariff',
-     'lighting-env-eff': 'Very Good', 'windows-energy-eff': 'Very Good', 'floor-env-eff': 'Very Good',
-     'sheating-env-eff': 'N/A', 'lighting-description': 'Low energy lighting in all fixed outlets',
-     'roof-env-eff': 'Very Good', 'walls-energy-eff': 'Very Good', 'photo-supply': '', 'lighting-cost-potential': '81',
-     'mainheat-env-eff': 'Good', 'multi-glaze-proportion': '100', 'main-heating-controls': '',
-     'lodgement-datetime': '2023-02-03 14:14:19', 'flat-top-storey': 'N', 'current-energy-rating': 'B',
-     'secondheat-description': 'None', 'walls-env-eff': 'Very Good', 'transaction-type': 'new dwelling', 'uprn': '',
-     'current-energy-efficiency': '81', 'energy-consumption-current': '105',
-     'mainheat-description': 'Air source heat pump, radiators, electric', 'lighting-cost-current': '81',
-     'lodgement-date': '2023-02-03', 'extension-count': '', 'mainheatc-env-eff': 'Average',
-     'lmk-key': 'e01a48dc015119690eb2aca4b469b77910e1514cdcb098ac6bf97649abe9d062', 'wind-turbine-count': '0',
-     'tenure': 'Not defined - use in the case of a new dwelling for which the intended tenure in not known. It is no',
-     'floor-level': '1', 'potential-energy-efficiency': '81', 'hot-water-energy-eff': 'Poor',
-     'low-energy-lighting': '100', 'walls-description': 'Average thermal transmittance 0.16 W/m-¦K',
-     'hotwater-description': 'From main system'},
-    {'low-energy-fixed-light-count': '', 'address': 'Flat 1, 209A Fulham Palace Road', 'uprn-source': '',
-     'floor-height': '2.95', 'heating-cost-potential': '214', 'unheated-corridor-length': '',
-     'hot-water-cost-potential': '66', 'construction-age-band': '2022', 'potential-energy-rating': 'C',
-     'mainheat-energy-eff': 'Good', 'windows-env-eff': 'Very Good', 'lighting-energy-eff': 'Very Good',
-     'environment-impact-potential': '79', 'glazed-type': '', 'heating-cost-current': '214', 'address3': '',
-     'mainheatcont-description': 'Time and temperature zone control', 'sheating-energy-eff': 'N/A',
-     'property-type': 'Flat', 'local-authority-label': 'Hammersmith and Fulham', 'fixed-lighting-outlets-count': '1',
-     'energy-tariff': 'standard tariff', 'mechanical-ventilation': '', 'hot-water-cost-current': '66', 'county': '',
-     'postcode': 'W6 8QX', 'solar-water-heating-flag': '', 'constituency': 'E14000726',
-     'co2-emissions-potential': '1.2', 'number-heated-rooms': '',
-     'floor-description': 'Average thermal transmittance 0.12 W/m-¦K', 'energy-consumption-potential': '145',
-     'local-authority': 'E09000013', 'built-form': 'Detached', 'number-open-fireplaces': '0',
-     'windows-description': 'High performance glazing', 'glazed-area': '', 'inspection-date': '2022-07-06',
-     'mains-gas-flag': '', 'co2-emiss-curr-per-floor-area': '25', 'address1': 'Flat 1 ', 'heat-loss-corridor': '',
-     'flat-storey-count': '', 'constituency-label': 'Hammersmith', 'roof-energy-eff': 'Good',
-     'total-floor-area': '46.0', 'building-reference-number': '10003297683', 'environment-impact-current': '79',
-     'co2-emissions-current': '1.2', 'roof-description': 'Average thermal transmittance 0.16 W/m-¦K',
-     'floor-energy-eff': 'Very Good', 'number-habitable-rooms': '', 'address2': '209A Fulham Palace Road',
-     'hot-water-env-eff': 'Good', 'posttown': 'LONDON', 'mainheatc-energy-eff': 'Very Good',
-     'main-fuel': 'Gas: mains gas', 'lighting-env-eff': 'Very Good', 'windows-energy-eff': 'Very Good',
-     'floor-env-eff': 'Very Good', 'sheating-env-eff': 'N/A',
-     'lighting-description': 'Low energy lighting in all fixed outlets', 'roof-env-eff': 'Good',
-     'walls-energy-eff': 'Very Good', 'photo-supply': '', 'lighting-cost-potential': '42', 'mainheat-env-eff': 'Good',
-     'multi-glaze-proportion': '100', 'main-heating-controls': '', 'lodgement-datetime': '2022-07-06 08:39:46',
-     'flat-top-storey': 'N', 'current-energy-rating': 'C', 'secondheat-description': 'None',
-     'walls-env-eff': 'Very Good', 'transaction-type': 'new dwelling', 'uprn': '', 'current-energy-efficiency': '77',
-     'energy-consumption-current': '145', 'mainheat-description': 'Boiler and radiators, mains gas',
-     'lighting-cost-current': '42', 'lodgement-date': '2022-07-06', 'extension-count': '',
-     'mainheatc-env-eff': 'Very Good', 'lmk-key': '427710397a10def8490b0752d99ce24b0f44eb39b77c7141cc74afa86e478df1',
-     'wind-turbine-count': '0',
-     'tenure': 'Not defined - use in the case of a new dwelling for which the intended tenure in not known. It is no',
-     'floor-level': '2', 'potential-energy-efficiency': '77', 'hot-water-energy-eff': 'Good',
-     'low-energy-lighting': '100', 'walls-description': 'Average thermal transmittance 0.29 W/m-¦K',
-     'hotwater-description': 'From main system'}
-]
diff --git a/model_data/tests/test_downloader.py b/model_data/tests/test_downloader.py
deleted file mode 100644
index 3c1492a9..00000000
--- a/model_data/tests/test_downloader.py
+++ /dev/null
@@ -1,56 +0,0 @@
-import pytest
-from epc_api.client import EpcClient
-from model_data.downloader import pagenated_epc_download
-
-# Mock EPC search response
-mock_epc_response = {
-    "rows": [
-        {"data1": "value1"},
-        {"data2": "value2"},
-    ]
-}
-
-
-class TestDownloader:
-
-    @pytest.fixture
-    def mock_client(self, mocker):
-        # mocker is a wrapper around unittest.mock.Mock, extending with
-        # additional features specific to pytest
-        client = mocker.Mock(spec=EpcClient(auth_token="123"))
-        client.domestic.search.return_value = mock_epc_response
-        return client
-
-    def test_pagenated_epc_download_basic(self, mock_client):
-        params = {"address": "Test Address", "postcode": "AB12CD"}
-        page_size = len(mock_epc_response["rows"])
-        n_pages = 1
-
-        results = pagenated_epc_download(mock_client, params, page_size, n_pages, verbose=1)
-
-        assert len(results) == page_size * n_pages
-        assert results == mock_epc_response["rows"]
-
-        mock_client.domestic.search.assert_called_with(params=params, offset_from=0, size=page_size)
-
-    def test_pagenated_epc_download_multiple_pages(self, mock_client):
-        params = {"address": "Test Address", "postcode": "AB12CD"}
-        page_size = len(mock_epc_response["rows"])
-        n_pages = 2
-
-        results = pagenated_epc_download(mock_client, params, page_size, n_pages)
-
-        assert len(results) == page_size * n_pages
-        assert results == mock_epc_response["rows"] * n_pages
-
-        mock_client.domestic.search.assert_called_with(params=params, offset_from=page_size, size=page_size)
-
-    def test_pagenated_epc_download_search_returns_none(self, mock_client):
-        mock_client.domestic.search.return_value = None  # Mock the search method to return None
-        params = {"address": "Test Address", "postcode": "AB12CD"}
-        page_size = 1
-        n_pages = 1
-
-        results = pagenated_epc_download(mock_client, params, page_size, n_pages)
-
-        assert results == []
diff --git a/model_data/tests/test_sap_model.py b/model_data/tests/test_sap_model.py
deleted file mode 100644
index 71d6369c..00000000
--- a/model_data/tests/test_sap_model.py
+++ /dev/null
@@ -1,37 +0,0 @@
-import pytest
-from model_data.EpcClean import EpcClean
-from model_data.analysis.SapModel import SapModel
-from model_data.tests.test_data.sap_model_data import data
-
-
-class TestSapModel:
-
-    @pytest.fixture
-    def cleaner(self):
-        cleaner = EpcClean(data=data)
-        cleaner.clean()
-        return cleaner
-
-    @pytest.fixture
-    def model(self, cleaner):
-        model = SapModel(data, cleaner=cleaner)
-        return model
-
-    def test_run(self, model):
-        assert model.final_model is None
-        assert model.test_model is None
-        model.run()
-
-        assert model.final_model is not None
-        assert model.test_model is not None
-
-        # Note - this will potentially be different on different machines so may need to adjust these tests accordingly
-        # when running in CI/CD
-        assert (model.fit_error['Median Absolute Error'] - 1.7316860436422203) < 0.00001
-        assert (model.predict_error['Median Absolute Error'] - 2.85481857667385) < 0.00001
-        # final model doesn't do that well on this test data
-        assert (model.final_error['Median Absolute Error'] - 10.050349496213855) < 0.00001
-
-
-
-
diff --git a/open_uprn/OpenUprnClient.py b/open_uprn/OpenUprnClient.py
deleted file mode 100644
index 502ed25a..00000000
--- a/open_uprn/OpenUprnClient.py
+++ /dev/null
@@ -1,31 +0,0 @@
-import pandas as pd
-from utils.logger import setup_logger
-
-logger = setup_logger()
-
-
-class OpenUprnClient:
-    """
-    Specs for this dataset can be found here:
-    https://www.ordnancesurvey.co.uk/documents/product-support/tech-spec/open-uprn-techspec-v1.pdf
-    """
-
-    # TODO: Document this
-
-    def __init__(self, path, uprns=None):
-        self.path = path
-        self.uprns = [int(x) for x in uprns] if uprns else None
-        self.data = None
-
-    def read(self):
-        """
-        This methodology is placeholder, while data sits localls
-        :return:
-        """
-        logger.info("Reading in open uprn data")
-
-        df = pd.read_csv(self.path)
-        if self.uprns:
-            df = df[df["UPRN"].isin(self.uprns)]
-
-        self.data = df
diff --git a/open_uprn/app.py b/open_uprn/app.py
deleted file mode 100644
index 6ed62c44..00000000
--- a/open_uprn/app.py
+++ /dev/null
@@ -1,18 +0,0 @@
-"""
-This application reads in the open uprn data from a static location and loads it into
-our database for querying from other services
-"""
-
-import os
-from open_uprn.OpenUprnClient import OpenUprnClient
-
-
-def app():
-    open_uprn_client = OpenUprnClient(
-        path=os.path.abspath(
-            os.path.dirname(__file__)
-        ) + "/model_data/local_data/osopenuprn_202306_csv/osopenuprn_202305.csv",
-    )
-    open_uprn_client.read()
-
-    # TODO: Add a method to write to the database
diff --git a/open_uprn/requirements.txt b/open_uprn/requirements.txt
deleted file mode 100644
index 11baa087..00000000
--- a/open_uprn/requirements.txt
+++ /dev/null
@@ -1,13 +0,0 @@
-numpy==1.25.1
-pandas==2.0.3
-python-dateutil==2.8.2
-pytz==2023.3
-six==1.16.0
-tzdata==2023.3
-click==8.1.6
-joblib==1.3.1
-nltk==3.8.1
-regex==2023.6.3
-textblob==0.17.1
-tqdm==4.65.0
-
diff --git a/pytest.ini b/pytest.ini
index 401ecc0f..b2453c82 100644
--- a/pytest.ini
+++ b/pytest.ini
@@ -1,4 +1,4 @@
 [pytest]
 pythonpath = .
-addopts = --cov-report term-missing --cov=model_data --cov=recommendations
-testpaths = model_data/tests recommendations/tests backend/tests
+addopts = --cov-report term-missing --cov=etl --cov=recommendations --cov=backend
+testpaths = etl/*/tests recommendations/tests backend/tests
diff --git a/recommendations/FloorRecommendations.py b/recommendations/FloorRecommendations.py
index a19cf1a8..9ee023c4 100644
--- a/recommendations/FloorRecommendations.py
+++ b/recommendations/FloorRecommendations.py
@@ -1,13 +1,13 @@
 import math
 from typing import List
-from model_data.BaseUtility import Definitions
+from BaseUtility import Definitions
 from datatypes.enums import QuantityUnits
 from backend.Property import Property
 from recommendations.recommendation_utils import (
     r_value_per_mm_to_u_value, calculate_u_value_uplift, is_diminishing_returns, update_lowest_selected_u_value,
-    get_recommended_part, estimate_perimeter, get_wall_type,
-    get_floor_u_value
+    get_recommended_part, get_floor_u_value
 )
+from recommendations.rdsap_tables import FLOOR_LEVEL_MAP
 
 
 class FloorRecommendations(Definitions):
@@ -24,26 +24,12 @@ class FloorRecommendations(Definitions):
 
     PART_L_YEAR_CUTOFF = 2002
 
-    # TODO: This is a placeholder methodology which isn't particularly scalable as more
-    #       unusual floor descriptions are introduced
-    FLOOR_LEVELS = {
-        "Ground": 0,
-        # We don't know what floor level, we just make sure it's not 0
-        "mid floor": 1,
-        "4th": 4,
-        # We set
-        "00": 0,
-        "3rd": 3
-    }
-
     def __init__(
         self,
         property_instance: Property,
-        total_floor_area_group_decile: str,
         materials: List,
     ):
         self.property = property_instance
-        self.total_floor_area_group_decile = total_floor_area_group_decile
         # For audit purposes, when estimating u values we'll store it
         self.estimated_u_value = None
 
@@ -62,18 +48,20 @@ class FloorRecommendations(Definitions):
     def recommend(self):
         u_value = self.property.floor["thermal_transmittance"]
         is_suspended = self.property.floor["is_suspended"]
-        insulation_thickness = self.property.floor["insulation_thickness"]
         is_solid = self.property.floor["is_solid"]
         floor_level = (
-            self.FLOOR_LEVELS[self.property.data["floor-level"]] if
+            FLOOR_LEVEL_MAP[self.property.data["floor-level"]] if
             self.property.data["floor-level"] not in self.DATA_ANOMALY_MATCHES else None
         )
         property_type = self.property.data["property-type"]
 
         year_built = self.property.year_built
 
-        if self.property.floor["another_property_below"]:
-            # If there's another property below, it's likely impractical to recommend a floor upgrade
+        if self.property.floor["another_property_below"] | (self.property.floor["insulation_thickness"] in [
+            "average", "above average"
+        ]):
+            # If there's another property below, it's likely impractical to recommend a floor upgrade,
+            # or if the floor is already insualted
             return
 
         # If the property is a flat that isn't at ground level, it's likely impractical to recommend a floor upgrade
@@ -93,27 +81,13 @@ class FloorRecommendations(Definitions):
                 # The floor is already compliant
                 return
 
-        total_floor_area = float(self.property.data["total-floor-area"])
-        number_of_rooms = float(self.property.data["number-habitable-rooms"])
-
-        if self.property.data["property-type"] == "House":
-            num_floors = self._estimate_floors(total_floor_area, number_of_rooms)
-        elif self.property.data["property-type"] == "Flat":
-            num_floors = 1
-        else:
-            raise NotImplementedError("Implement me")
-
-        estimated_perimeter = estimate_perimeter(total_floor_area / num_floors, number_of_rooms / num_floors)
-
-        wall_type = get_wall_type(**self.property.walls)
-
         u_value = get_floor_u_value(
-            floor_type="suspended" if is_suspended else "solid",
-            area=total_floor_area,
-            perimeter=estimated_perimeter,
+            floor_type=self.property.floor_type,
+            area=float(self.property.data["total-floor-area"]),
+            perimeter=self.property.perimeter,
             age_band=self.property.age_band,
-            insulation_thickness=insulation_thickness,
-            wall_type=wall_type
+            insulation_thickness=self.property.floor["insulation_thickness"],
+            wall_type=self.property.wall_type
         )
         self.estimated_u_value = u_value
 
@@ -172,22 +146,3 @@ class FloorRecommendations(Definitions):
                             "cost": estimated_cost,
                         }
                     )
-
-    @staticmethod
-    def _estimate_floors(floor_area, num_rooms):
-        """
-        Simple utility funciton, which assuming a 15m squared room, estimates the number of floors in a property
-        :param floor_area:  Gross floor area of a property
-        :param num_rooms:   Number of rooms in a property
-        :return:            Number of floors in a property
-        """
-        # Estimate total room area
-        total_room_area = num_rooms * 15
-
-        # Estimate the number of floors
-        floors = floor_area / total_room_area
-
-        # Round up to the nearest whole number
-        floors = round(floors)
-
-        return floors
diff --git a/recommendations/WallRecommendations.py b/recommendations/WallRecommendations.py
index c46a495f..05957e90 100644
--- a/recommendations/WallRecommendations.py
+++ b/recommendations/WallRecommendations.py
@@ -4,11 +4,12 @@ from typing import List
 
 from datatypes.enums import QuantityUnits
 from backend.Property import Property
-from model_data.BaseUtility import Definitions
+from BaseUtility import Definitions
 from recommendations.recommendation_utils import (
     r_value_per_mm_to_u_value, calculate_u_value_uplift, is_diminishing_returns, update_lowest_selected_u_value,
     get_recommended_part, get_wall_u_value
 )
+from recommendations.config import PARTIALLY_FILLED_PERCENTAGE_ASSUMPTION
 
 
 class WallRecommendations(Definitions):
@@ -35,22 +36,12 @@ class WallRecommendations(Definitions):
     # we still consider it as an option
     U_VALUE_ERROR = 0.01
 
-    # TODO: Review this value against RdSAP
-    #       Page 19 of rdsap here:
-    #       https://files.bregroup.com/bre-co-uk-file-library-copy/filelibrary/SAP/2012/RdSAP-9.93/RdSAP_2012_9.93.pdf
-    #       provides default U-values for solid brick walls depending on age band
-    DEFAULT_U_VALUES = {
-        "solid_brick": 2,
-    }
-
     def __init__(
         self,
         property_instance: Property,
-        total_floor_area_group_decile: str,
         materials: List
     ):
         self.property = property_instance
-        self.total_floor_area_group_decile = total_floor_area_group_decile
         # For audit purposes, when estimating u values we'll store it
         self.estimated_u_value = None
 
@@ -65,9 +56,9 @@ class WallRecommendations(Definitions):
         This method check available data, to determine if a property is suitable for external wall insulation
         """
 
-        # Current logic: If the property is in a conservation area or a flat, it is not suitable for EWI
-        if (self.property.in_conservation_area in ["in_conversation_area"]) or \
-            (self.property.data["property-type"].lower() == "flat"):
+        # Current logic: If the property is in a conservation area/heritage building/listed building or a flat,
+        # it is not suitable for EWI
+        if self.property.restricted_measures or (self.property.data["property-type"].lower() == "flat"):
             return False
 
         return True
@@ -78,23 +69,17 @@ class WallRecommendations(Definitions):
         # recommend internal wall insulation as a possible measure
 
         u_value = self.property.walls["thermal_transmittance"]
-
         is_cavity_wall = self.property.walls["is_cavity_wall"]
-        is_solid_brick = self.property.walls["is_solid_brick"]
         insulation_thickness = self.property.walls["insulation_thickness"]
 
         # We check if the wall is already insulated and if so, we exit
-        if insulation_thickness in ["average", "above average"]:
+        if (insulation_thickness in ["average", "above average"]) or self.property.walls["is_filled_cavity"]:
             return
 
         if u_value:
+
             if self.property.walls["thermal_transmittance_unit"] != self.U_VALUE_UNIT:
                 raise NotImplementedError("Haven't handled the case of other u value units yet")
-
-            # TODO: It's worth thinking about this logic because depending on when properties were built,
-            #       they're likely to be of a certain standard. E.g. properties built within a certain time
-            #       period are likely to have cavity walls
-
             # We can't detect it's a cavity wall, but it was built after 1990 so likely built with insulation already
             # + it already has a U-value WORSE than the building regulations, so we recommend either internal or
             # external wall insulation
@@ -121,9 +106,10 @@ class WallRecommendations(Definitions):
             is_granite_or_whinstone=self.property.walls["is_granite_or_whinstone"],
             is_sandstone_or_limestone=self.property.walls["is_sandstone_or_limestone"],
         )
+
         self.estimated_u_value = u_value
 
-        if is_solid_brick:
+        if self.property.walls["is_solid_brick"]:
 
             if u_value >= self.BUILDING_REGULATIONS_PART_L_MAX_U_VALUE:
                 self.find_insulation(u_value)
@@ -132,8 +118,82 @@ class WallRecommendations(Definitions):
             # If the u-value is within regulations, we don't do anything
             return
 
+        if is_cavity_wall:
+            if u_value >= self.BUILDING_REGULATIONS_PART_L_MAX_U_VALUE:
+                # Test filling cavity
+                self.find_cavity_insulation(u_value, insulation_thickness)
+
+            return
+
         raise NotImplementedError("Not implemented yet")
 
+    def find_cavity_insulation(self, u_value, insulation_thickness):
+        """
+        This method tests different materials to fill the cavity wall, determining which
+        material will give us the best U-value.
+
+        We check for diminishing returns, however this function does not check for meeting building
+        Part L regulations right now. This is because Part L is less stringent for cavity walls
+
+        Width of a cavity:
+        There are various sources online that suggest the width of a cavity wall is around 50mm. The retrofit course
+        indicates that most cavities are 50-75mm. Many sources online indicate that 50mm is the standard MINIMUM figure
+        therefore we'll use 75mm as the base assumption
+
+        This document:
+        https://www.buildingcentre.co.uk/media/_file/pdf/22220_pdf27.pdf
+        Indicates that they could be 50-85mm wide
+
+        :param u_value: u_value of the starting wall
+        :param insulation_thickness: describes the insulation level of the wall. If "below average", we have a partially
+        filled cavity wall
+        """
+
+        cavity_wall_fills = [m for m in self.materials if m["type"] == "cavity_wall_insulation"]
+        cavity_width = 75
+        if insulation_thickness == "below average":
+            cavity_width = cavity_width * (1 - PARTIALLY_FILLED_PERCENTAGE_ASSUMPTION)
+
+        # Test the different fill options
+        lowest_selected_u_value = None
+        recommendations = []
+        for part in cavity_wall_fills:
+            part_u_value = r_value_per_mm_to_u_value(cavity_width, part["r_value_per_mm"])
+
+            _, new_u_value = calculate_u_value_uplift(u_value, part_u_value)
+            new_u_value = math.ceil(new_u_value * 100.0) / 100.0
+
+            if is_diminishing_returns(
+                recommendations, new_u_value, lowest_selected_u_value, self.DIMINISHING_RETURNS_U_VALUE
+            ):
+                continue
+
+            lowest_selected_u_value = update_lowest_selected_u_value(lowest_selected_u_value, new_u_value)
+
+            estimated_cost = part["cost"] * self.property.insulation_wall_area
+
+            recommendations.append(
+                {
+                    "parts": [
+                        get_recommended_part(
+                            part=part,
+                            selected_depth=None,
+                            quantity=self.property.insulation_wall_area,
+                            quantity_unit=QuantityUnits.m2.value,
+                            selected_total_cost=estimated_cost
+                        )
+                    ],
+                    "type": "wall_insulation",
+                    "description": f"Fill cavity with {part['description']}",
+                    "starting_u_value": u_value,
+                    "new_u_value": new_u_value,
+                    "sap_points": None,
+                    "cost": estimated_cost,
+                }
+            )
+
+        self.recommendations = recommendations
+
     def _find_insulation(self, parts, u_value):
         lowest_selected_u_value = None
         recommendations = []
diff --git a/recommendations/config.py b/recommendations/config.py
index 750453b0..fb78ab81 100644
--- a/recommendations/config.py
+++ b/recommendations/config.py
@@ -1,8 +1,17 @@
 # This map defines the upgrades that are possible to be recommended by the recommendation engine
 # For example,
-# TODO: once we use cleaned descriptions, this should be updated using the cleaned descriptions
 UPGRADES_MAP = {
-    'Solid brick, as built, no insulation (assumed)': 'Solid brick, as built, insulated (assumed)',
-    'Suspended, no insulation (assumed)': 'Suspended, insulated (assumed)',
-    'Solid, no insulation (assumed)': 'Solid, insulated (assumed)',
+    'Solid brick, as built, no insulation': 'Solid brick, as built, insulated',
+    'Suspended, no insulation': 'Suspended, insulated',
+    'Solid, no insulation': 'Solid, insulated',
+    'Cavity wall, as built, no insulation': 'Cavity wall, as built, insulated',
+    'Cavity wall, as built, partial insulation': 'Cavity wall, as built, insulated',
 }
+
+PARTIAL_CAVITY_DESCRIPTIONS = [
+    "Cavity wall, as built, partial insulation",
+    "Cavity wall, partial insulation",
+]
+
+# We assume that the cavity is partially filled with insulation, and is filled 25% full
+PARTIALLY_FILLED_PERCENTAGE_ASSUMPTION = 0.25
diff --git a/model_data/optimiser/CostOptimiser.py b/recommendations/optimiser/CostOptimiser.py
similarity index 100%
rename from model_data/optimiser/CostOptimiser.py
rename to recommendations/optimiser/CostOptimiser.py
diff --git a/model_data/optimiser/GainOptimiser.py b/recommendations/optimiser/GainOptimiser.py
similarity index 100%
rename from model_data/optimiser/GainOptimiser.py
rename to recommendations/optimiser/GainOptimiser.py
diff --git a/model_data/optimiser/optimiser_functions.py b/recommendations/optimiser/optimiser_functions.py
similarity index 100%
rename from model_data/optimiser/optimiser_functions.py
rename to recommendations/optimiser/optimiser_functions.py
diff --git a/recommendations/rdsap_tables.py b/recommendations/rdsap_tables.py
index 71c52354..0ce139ab 100644
--- a/recommendations/rdsap_tables.py
+++ b/recommendations/rdsap_tables.py
@@ -226,10 +226,10 @@ epc_wall_description_map = {
     "Cavity wall, as built, partial insulation": "Filled cavity",
     "Cavity wall, filled cavity": "Filled cavity",
     "Cavity wall, as built, no insulation": "Cavity as built",
-    "Cavity wall, as built, insulated": "Unfilled cavity with 100 mm external or internal insulation",
+    "Cavity wall, as built, insulated": "Filled cavity",
     "Cavity wall, with external insulation": "Unfilled cavity with 100 mm external or internal insulation",
-    "Cavity wall, insulated": "Unfilled cavity with 100 mm external or internal insulation",
-    'Cavity wall, partial insulation': "Unfilled cavity with 50 mm external or internal insulation",
+    "Cavity wall, insulated": "Filled cavity",
+    'Cavity wall, partial insulation': "Filled cavity",
 
     "Cavity wall,": "Cavity as built",  # General case of cavity wall without further details
     "Cavity wall, filled cavity and external insulation":
@@ -462,3 +462,31 @@ s11_list = [
 ]
 
 table_s11 = pd.DataFrame(s11_list)
+
+
+########################################################################################################################
+#
+# this map is used to clean the floor value field we see in EPCs
+#
+########################################################################################################################
+def ordinal(n):
+    if 10 <= n % 100 <= 20:
+        suffix = "th"
+    else:
+        suffix = {1: "st", 2: "nd", 3: "rd"}.get(n % 10, "th")
+
+    return str(n) + suffix
+
+
+FLOOR_LEVEL_MAP = {
+    "Basement": -1,
+    "Ground": 0,
+    "ground floor": 0,
+    "mid floor": 1,
+    "20+": 20,
+    "21st or above": 21,
+    **{str(i).zfill(2): i for i in range(0, 21)},
+    **{ordinal(i): i for i in range(-1, 21)},
+    **{str(i): i for i in range(-1, 21)},
+    **{i: i for i in range(-1, 21)},
+}
diff --git a/recommendations/recommendation_utils.py b/recommendations/recommendation_utils.py
index 8a113050..1eef7b05 100644
--- a/recommendations/recommendation_utils.py
+++ b/recommendations/recommendation_utils.py
@@ -3,12 +3,11 @@ from copy import deepcopy
 
 import pandas as pd
 
-from backend.Property import Property
-from statistics import mean
 from recommendations.rdsap_tables import (
     epc_wall_description_map, wall_uvalues_df, default_wall_thickness, table_s9 as s9, table_s10 as s10,
     table_s11 as s11
 )
+from recommendations.config import PARTIALLY_FILLED_PERCENTAGE_ASSUMPTION, PARTIAL_CAVITY_DESCRIPTIONS
 
 
 def r_value_per_mm_to_u_value(depth_mm: int, r_value_per_mm: float):
@@ -148,7 +147,9 @@ def apply_formula_s_5_1_1(is_granite_or_whinstone, is_sandstone_or_limestone, ag
     raise ValueError("This should only be called when is_granite_or_whinstone or is_sandstone_or_limestone is True")
 
 
-def get_wall_u_value(clean_description, age_band, is_granite_or_whinstone, is_sandstone_or_limestone):
+def get_wall_u_value(
+    clean_description, age_band, is_granite_or_whinstone, is_sandstone_or_limestone
+):
     """
     Given some features about a wall, this function will query the wall u-value table and return the u-value
     :param clean_description:  Cleaned up description of the wall from the EPC data
@@ -158,13 +159,23 @@ def get_wall_u_value(clean_description, age_band, is_granite_or_whinstone, is_sa
     :return:
     """
 
-    mapped_description = epc_wall_description_map[clean_description]
+    if clean_description in PARTIAL_CAVITY_DESCRIPTIONS:
+        # If we have a partial cavity fill, we linearly interpolate the u-value. This isn't necessarily the perfect
+        # method and how we do this should be explored, however we want to distinguish between the old
+        filled_uvalue = float(wall_uvalues_df[wall_uvalues_df["Wall_type"] == "Filled cavity"][age_band].values[0])
+        unfilled_uvalue = float(wall_uvalues_df[wall_uvalues_df["Wall_type"] == "Cavity as built"][age_band].values[0])
 
-    mapped_value = wall_uvalues_df[wall_uvalues_df["Wall_type"] == mapped_description][age_band].values[0]
+        mapped_value = str(
+            unfilled_uvalue - (PARTIALLY_FILLED_PERCENTAGE_ASSUMPTION * (unfilled_uvalue - filled_uvalue))
+        )
+    else:
+        mapped_description = epc_wall_description_map[clean_description]
 
-    if pd.isnull(mapped_value) and "Park home" in mapped_description:
-        # We don't know enough in this case so we default to 0
-        return 0
+        mapped_value = wall_uvalues_df[wall_uvalues_df["Wall_type"] == mapped_description][age_band].values[0]
+
+        if pd.isnull(mapped_value) and "Park home" in mapped_description:
+            # We don't know enough in this case so we default to 0
+            return 0
 
     if mapped_value == "a":
         # The rdSap documentation indicateswe should use a formula to calculate the u-value
@@ -436,6 +447,9 @@ def extract_insulation_thickness(insulation_thickness_str):
     if insulation_thickness_str in ["none", "average", "below average", "above average", None]:
         return None
 
+    if isinstance(insulation_thickness_str, (float, int)):
+        return insulation_thickness_str
+
     return int(insulation_thickness_str.replace("mm", ""))
 
 
@@ -476,3 +490,30 @@ def get_wall_type(
         return "park home"
 
     return None
+
+
+def estimate_floors(floor_area, num_rooms):
+    """
+    Simple utility funciton, which assuming a 15m squared room, estimates the number of floors in a property
+    :param floor_area:  Gross floor area of a property
+    :param num_rooms:   Number of rooms in a property
+    :return:            Number of floors in a property
+    """
+    # Estimate total room area
+    total_room_area = num_rooms * 15
+
+    # Estimate the number of floors
+    floors = floor_area / total_room_area
+
+    # Round up to the nearest whole number
+    floors = round(floors)
+
+    return floors
+
+
+def estimate_wall_area(num_floors, floor_height, perimeter):
+    wall_area_one_floor = perimeter * floor_height
+
+    total_wall_area = wall_area_one_floor * num_floors
+
+    return total_wall_area
diff --git a/recommendations/tests/test_floor_recommendations.py b/recommendations/tests/test_floor_recommendations.py
index 1632f468..f3df168f 100644
--- a/recommendations/tests/test_floor_recommendations.py
+++ b/recommendations/tests/test_floor_recommendations.py
@@ -70,7 +70,7 @@ solid_floor_insulation_parts = [
 parts = suspended_floor_insulation_parts + solid_floor_insulation_parts
 
 
-class TestWallRecommendations:
+class TestFloorRecommendations:
 
     @pytest.fixture
     def input_properties(self):
@@ -86,23 +86,20 @@ class TestWallRecommendations:
         property_mock.full_sap_epc = {"lodgement-date": "2000-01-01"}  # or any date you want
         property_mock.data = {"construction-age-band": "1950"}  # or any other data that fits your tests
 
-        mock_wall_rec_instance = FloorRecommendations(property_mock, "Decile 1", parts)
+        mock_wall_rec_instance = FloorRecommendations(property_mock, parts)
         return mock_wall_rec_instance
 
     def test_init(self, input_properties):
         obj = FloorRecommendations(
             property_instance=input_properties[0],
-            total_floor_area_group_decile="Decile 1",
             materials=parts
         )
         assert obj
         assert obj.property
-        assert obj.total_floor_area_group_decile == "Decile 1"
 
     def test_other_premises_below(self, input_properties):
         recommender = FloorRecommendations(
             property_instance=input_properties[0],
-            total_floor_area_group_decile="Decile 1",
             materials=parts
         )
         recommender.recommend()
@@ -119,16 +116,17 @@ class TestWallRecommendations:
         input_properties[2].floor_area = 50
         input_properties[2].walls["is_park_home"] = False
         input_properties[2].age_band = "A"
+        input_properties[2].perimeter = 20
+        input_properties[2].wall_type = "solid brick"
 
         recommender = FloorRecommendations(
             property_instance=input_properties[2],
-            total_floor_area_group_decile="Decile 1",
             materials=parts
         )
         assert recommender.estimated_u_value is None
         recommender.recommend()
         assert recommender.property.floor["is_suspended"]
-        assert recommender.estimated_u_value == 0.52
+        assert recommender.estimated_u_value == 0.39
         assert recommender.recommendations
 
         types = {part["type"] for x in recommender.recommendations for part in x["parts"]}
@@ -143,7 +141,6 @@ class TestWallRecommendations:
         """
         recommender = FloorRecommendations(
             property_instance=input_properties[3],
-            total_floor_area_group_decile="Decile 1",
             materials=parts
         )
         assert recommender.estimated_u_value is None
@@ -161,17 +158,18 @@ class TestWallRecommendations:
         input_properties[4].floor_area = 100
         input_properties[4].walls["is_park_home"] = False
         input_properties[4].age_band = "B"
+        input_properties[4].perimeter = 50
+        input_properties[4].wall_type = "solid brick"
 
         recommender = FloorRecommendations(
             property_instance=input_properties[4],
-            total_floor_area_group_decile="Decile 1",
             materials=parts
         )
         assert recommender.estimated_u_value is None
         recommender.recommend()
         assert not recommender.property.floor["is_suspended"]
         assert recommender.property.floor["is_solid"]
-        assert recommender.estimated_u_value == 0.63
+        assert recommender.estimated_u_value == 0.71
         assert recommender.recommendations
 
         types = {part["type"] for x in recommender.recommendations for part in x["parts"]}
@@ -185,7 +183,6 @@ class TestWallRecommendations:
 
         recommender = FloorRecommendations(
             property_instance=input_properties[6],
-            total_floor_area_group_decile="Decile 1",
             materials=parts
         )
         assert recommender.estimated_u_value is None
diff --git a/recommendations/tests/test_recommendation_utils.py b/recommendations/tests/test_recommendation_utils.py
index b3ea0141..eb1a5024 100644
--- a/recommendations/tests/test_recommendation_utils.py
+++ b/recommendations/tests/test_recommendation_utils.py
@@ -304,3 +304,32 @@ def test_estimate_perimeter_invalid_inputs():
         recommendation_utils.estimate_perimeter(-100, 5)
     with pytest.raises(ValueError):
         recommendation_utils.estimate_perimeter(100, -5)
+
+
+def test_solid_floor():
+    assert math.isclose(
+        recommendation_utils.get_floor_u_value(
+            'solid', 100, 40, 'A', 'stone', insulation_thickness="20mm"
+        ),
+        0.4, rel_tol=1e-2)
+
+
+def test_suspended_floor():
+    assert math.isclose(
+        recommendation_utils.get_floor_u_value(
+            'suspended', 100, 40, 'A', 'timber frame', insulation_thickness="20mm"
+        ),
+        0.49, rel_tol=1e-2)
+
+
+def test_invalid_floor_type():
+    with pytest.raises(ValueError):
+        recommendation_utils.get_floor_u_value(
+            'invalid_type', 100, 40, 'A', 'stone', insulation_thickness="20mm"
+        )
+
+
+def test_park_home():
+    assert recommendation_utils.get_floor_u_value(
+        'suspended', 100, 40, 'A', 'park home', insulation_thickness="20mm"
+    ) == 0
diff --git a/recommendations/tests/test_wall_recommendations.py b/recommendations/tests/test_wall_recommendations.py
index cf036a1c..e910a8f5 100644
--- a/recommendations/tests/test_wall_recommendations.py
+++ b/recommendations/tests/test_wall_recommendations.py
@@ -1,6 +1,7 @@
 import os
 import pytest
 import pickle
+import numpy as np
 from unittest.mock import Mock, MagicMock
 from recommendations.WallRecommendations import WallRecommendations
 from backend.Property import Property
@@ -10,12 +11,6 @@ from recommendations.recommendation_utils import is_diminishing_returns
 #     os.path.abspath(os.path.dirname(__file__)) + "/recommendations/tests/test_data/input_properties.pkl", "rb"
 # ) as f:
 #     input_properties = pickle.load(f)
-#
-# with open(
-#     os.path.abspath(os.path.dirname(__file__)) + "/recommendations/tests/test_data/uvalue_estimates.pkl", "rb"
-# ) as f:
-#     uvalue_estimates = pickle.load(f)
-
 
 external_wall_insulation_parts = [
     {
@@ -190,7 +185,22 @@ internal_wall_insulation_parts = [
     },
 ]
 
-wall_parts = external_wall_insulation_parts + internal_wall_insulation_parts
+cavity_wall_insulation_parts = [
+    {'id': 4, 'type': 'cavity_wall_insulation', 'description': 'Example Material 1',
+     'depths': None,
+     'depth_unit': None, 'cost': 20,
+     'cost_unit': 'gbp_sq_meter', 'r_value_per_mm': 0.0278, 'r_value_unit': 'square_meter_kelvin_per_watt',
+     'thermal_conductivity': 0.036, 'thermal_conductivity_unit': 'watt_per_meter_kelvin',
+     'link': None, 'created_at': None, 'is_active': True},
+    {'id': 10, 'type': "cavity_wall_insulation", 'description': 'Example Material 2',
+     'depths': None, 'depth_unit': None, 'cost': 25, 'cost_unit': 'gbp_sq_meter',
+     'r_value_per_mm': 0.02631579, 'r_value_unit': 'square_meter_kelvin_per_watt', 'thermal_conductivity': 0.038,
+     'thermal_conductivity_unit': 'watt_per_meter_kelvin',
+     'link': None,
+     'created_at': None, 'is_active': True}
+]
+
+wall_parts = external_wall_insulation_parts + internal_wall_insulation_parts + cavity_wall_insulation_parts
 
 
 class TestWallRecommendations:
@@ -210,19 +220,17 @@ class TestWallRecommendations:
         property_mock.data = {"construction-age-band": "1950"}  # or any other data that fits your tests
 
         mock_wall_rec_instance = WallRecommendations(
-            property_mock, "Decile 1", materials=wall_parts
+            property_mock, materials=wall_parts
         )
         return mock_wall_rec_instance
 
     def test_init(self, input_properties):
         obj = WallRecommendations(
             property_instance=input_properties[0],
-            total_floor_area_group_decile="Decile 1",
             materials=wall_parts
         )
         assert obj
         assert obj.property
-        assert obj.total_floor_area_group_decile == "Decile 1"
 
     def test_uvalue_0_16(self, input_properties):
         """
@@ -230,13 +238,15 @@ class TestWallRecommendations:
         The important data for this recommendation is:
         - u value of 0.16
         - property built in 2014
-        Since properties built after 1990 are typically built with insulation and this property
+        Since epc built after 1990 are typically built with insulation and this property
         already has really good insulation, we do NOT recommend any measures for this property
         """
         input_properties[0].year_built = 2014
+        input_properties[0].in_conservation_area = None
+        input_properties[0].restricted_measures = False
+
         recommender = WallRecommendations(
             property_instance=input_properties[0],
-            total_floor_area_group_decile="Decile 1",
             materials=wall_parts
         )
         assert recommender.property.walls["original_description"] == "Average thermal transmittance 0.16 W/m-¦K"
@@ -258,10 +268,10 @@ class TestWallRecommendations:
         input_properties[1].walls["clean_description"] = "Solid brick, as built, no insulation"
         input_properties[1].walls["is_sandstone_or_limestone"] = False
         input_properties[1].age_band = "A"
+        input_properties[1].restricted_measures = False
 
         recommender = WallRecommendations(
             property_instance=input_properties[1],
-            total_floor_area_group_decile="Decile 1",
             materials=wall_parts
         )
         assert recommender.property.walls["original_description"] == "Solid brick, as built, no insulation (assumed)"
@@ -295,9 +305,9 @@ class TestWallRecommendations:
         """
 
         input_properties[6].year_built = 1991
+        input_properties[6].restricted_measures = False
         recommender = WallRecommendations(
             property_instance=input_properties[6],
-            total_floor_area_group_decile="Decile 1",
             materials=wall_parts
         )
 
@@ -372,17 +382,19 @@ class TestWallRecommendationsBase:
         property_mock = MagicMock(spec=Property)
         property_mock.full_sap_epc = {"lodgement-date": "1999-12-31"}
         property_mock.in_conservation_area = "not_in_conservation_area"
+        property_mock.restricted_measures = False
         return property_mock
 
     @pytest.fixture
     def wall_recommendations_instance(self, property_mock):
         wall_recommendations_instance = WallRecommendations(
-            property_mock, "Decile 1", materials=wall_parts
+            property_mock, materials=wall_parts
         )
         return wall_recommendations_instance
 
     def test_ewi_valid_in_conservation_area(self, wall_recommendations_instance):
         wall_recommendations_instance.property.in_conservation_area = "in_conversation_area"
+        wall_recommendations_instance.property.restricted_measures = True
         assert wall_recommendations_instance.ewi_valid is False
 
     def test_ewi_valid_is_flat(self, wall_recommendations_instance):
@@ -391,6 +403,7 @@ class TestWallRecommendationsBase:
 
     def test_ewi_valid_not_in_conservation_area_and_not_flat(self, wall_recommendations_instance):
         wall_recommendations_instance.property.in_conservation_area = "not_in_conversation_area"
+        wall_recommendations_instance.property.restricted_measures = False
         wall_recommendations_instance.property.data = {"property-type": "house"}
         assert wall_recommendations_instance.ewi_valid is True
 
@@ -407,3 +420,86 @@ class TestWallRecommendationsBase:
         wall_recommendations_instance.property.age_band = "A"
         with pytest.raises(NotImplementedError):
             wall_recommendations_instance.recommend()
+
+
+class TestCavityWallRecommensations:
+    data = {
+        'low-energy-fixed-light-count': '', 'address': '123 Fake Street',
+        'floor-height': '', 'construction-age-band': 'England and Wales: 1950-1966',
+        'address3': '', 'property-type': 'House', 'local-authority-label': 'Melton',
+        'county': 'Leicestershire', 'postcode': 'LE14 2QH',
+        'solar-water-heating-flag': 'N', 'constituency': 'E14000909',
+        'number-heated-rooms': '5', 'local-authority': 'E07000133', 'built-form': 'End-Terrace',
+        'address1': '1, 23 fake', 'total-floor-area': '85.0', 'environment-impact-current': '49',
+        'number-habitable-rooms': 3, 'address2': 'Fake', 'posttown': 'IDK',
+        'walls-energy-eff': 'Poor', 'current-energy-rating': 'D',
+        'transaction-type': 'ECO assessment', 'uprn': '999', 'current-energy-efficiency': '57',
+        'lodgement-date': '2019-07-10', 'lmk-key': '999', 'tenure': 'rental (private)', 'floor-level': 'NODATA!',
+        'walls-description': 'Cavity wall, as built, no insulation (assumed)',
+    }
+
+    def test_fill_empty_cavity(self):
+        input_property = Property(id=1, postcode="F4k3", address1="123 fake street", epc_client=Mock())
+        input_property.walls = {
+            'original_description': 'Cavity wall, as built, no insulation (assumed)',
+            'clean_description': 'Cavity wall, as built, no insulation',
+            'thermal_transmittance': None, 'thermal_transmittance_unit': None,
+            'is_cavity_wall': True, 'is_filled_cavity': False, 'is_solid_brick': False,
+            'is_system_built': False, 'is_timber_frame': False, 'is_granite_or_whinstone': False,
+            'is_as_built': True, 'is_cob': False, 'is_assumed': True,
+            'is_sandstone_or_limestone': False, 'is_park_home': False,
+            'insulation_thickness': 'none', 'external_insulation': False,
+            'internal_insulation': False
+        }
+        input_property.age_band = "C"
+        input_property.insulation_wall_area = 50
+
+        recommender = WallRecommendations(
+            property_instance=input_property,
+            materials=cavity_wall_insulation_parts
+        )
+
+        assert not recommender.recommendations
+
+        recommender.recommend()
+
+        assert recommender.recommendations
+        assert recommender.estimated_u_value == 1.5
+        assert np.isclose(recommender.recommendations[0]["new_u_value"], 0.25)
+        assert np.isclose(recommender.recommendations[0]["cost"], 1000)
+
+        assert np.isclose(recommender.recommendations[1]["new_u_value"], 0.26)
+        assert np.isclose(recommender.recommendations[1]["cost"], 1250)
+
+    def test_fill_partial_filled_cavity(self):
+        input_property = Property(id=1, postcode="F4k3", address1="123 fake street", epc_client=Mock())
+        input_property.walls = {
+            'original_description': 'Cavity wall, as built, partial insulation (assumed)',
+            'clean_description': 'Cavity wall, as built, partial insulation',
+            'thermal_transmittance': None, 'thermal_transmittance_unit': None,
+            'is_cavity_wall': True, 'is_filled_cavity': False, 'is_solid_brick': False,
+            'is_system_built': False, 'is_timber_frame': False, 'is_granite_or_whinstone': False,
+            'is_as_built': True, 'is_cob': False, 'is_assumed': True,
+            'is_sandstone_or_limestone': False, 'is_park_home': False,
+            'insulation_thickness': 'below average', 'external_insulation': False,
+            'internal_insulation': False
+        }
+        input_property.age_band = "C"
+        input_property.insulation_wall_area = 50
+
+        recommender = WallRecommendations(
+            property_instance=input_property,
+            materials=cavity_wall_insulation_parts
+        )
+
+        assert not recommender.recommendations
+
+        recommender.recommend()
+
+        assert recommender.recommendations
+        assert recommender.estimated_u_value == 1.3
+        assert np.isclose(recommender.recommendations[0]["new_u_value"], 0.56)
+        assert np.isclose(recommender.recommendations[0]["cost"], 1000)
+
+        assert np.isclose(recommender.recommendations[1]["new_u_value"], 0.57)
+        assert np.isclose(recommender.recommendations[1]["cost"], 1250)
diff --git a/sapmodel.serverless.yml b/sapmodel.serverless.yml
deleted file mode 100644
index 8e811a57..00000000
--- a/sapmodel.serverless.yml
+++ /dev/null
@@ -1,62 +0,0 @@
-service: sapmodel
-
-provider:
-  name: aws
-  region: eu-west-2
-  architecture: x86_64
-  environment:
-    RUNTIME_ENVIRONMENT: ${env:RUNTIME_ENVIRONMENT}
-    MODEL_DIRECTORY_BUCKET: ${env:MODEL_DIRECTORY_BUCKET}
-    PREDICTIONS_BUCKET: ${env:PREDICTIONS_BUCKET}
-    DATA_BUCKET: ${env:DATA_BUCKET}
-    DOMAIN_NAME: ${env:DOMAIN_NAME}
-    ECR_URI: ${env:ECR_URI}
-    GITHUB_SHA: ${env:GITHUB_SHA}
-  iam:
-    role:
-      name: sapmodel_s3_access
-      statements:
-        # Allow reading from MODEL_DIRECTORY_BUCKET and DATA_BUCKET
-        - Effect: Allow
-          Action:
-            - s3:*
-          #            - s3:GetObject
-          #            - s3:ListBucket
-          Resource:
-            - arn:aws:s3:::${env:MODEL_DIRECTORY_BUCKET}
-            - arn:aws:s3:::${env:MODEL_DIRECTORY_BUCKET}/*
-            - arn:aws:s3:::${env:DATA_BUCKET}
-            - arn:aws:s3:::${env:DATA_BUCKET}/*
-        # Allow reading and writing to PREDICTIONS_BUCKET
-        - Effect: Allow
-          Action:
-            - s3:*
-          #            - s3:GetObject
-          #            - s3:PutObject
-          #            - s3:ListBucket
-          Resource:
-            - arn:aws:s3:::${env:PREDICTIONS_BUCKET}
-            - arn:aws:s3:::${env:PREDICTIONS_BUCKET}/*
-
-
-
-plugins:
-  - serverless-domain-manager
-
-custom:
-  customDomain:
-    domainName: api.${self:provider.environment.DOMAIN_NAME}
-    basePath: 'sapmodel'
-    createRoute53Record: true
-    certificateArn: ${ssm:/ssl_certificate_arn}
-
-functions:
-  sap_prediction_lambda:
-    image:
-      uri: ${env:ECR_URI}:${env:GITHUB_SHA}
-    #    role: sapPredictionLambdaRole
-    events:
-      - http:
-          path: /predict
-          method: POST
-    timeout: 120 # Set max run time to 2 minutes - we shouldn't need this much time so this can be reviewed
diff --git a/utils/s3.py b/utils/s3.py
index 8d24d6c0..7414da3f 100644
--- a/utils/s3.py
+++ b/utils/s3.py
@@ -2,6 +2,9 @@ import boto3
 from io import BytesIO
 from botocore.exceptions import NoCredentialsError, PartialCredentialsError
 import pandas as pd
+from utils.logger import setup_logger
+
+logger = setup_logger()
 
 
 def read_from_s3(bucket_name, s3_file_name):
@@ -46,6 +49,27 @@ def save_data_to_s3(data, bucket_name, s3_file_name):
         print(f'Failed to upload data to {bucket_name}/{s3_file_name}: {str(e)}')
 
 
+def read_io_from_s3(bucket_name, file_key):
+    """
+    Read a file from S3 into a BytesIO object. This can be used by other methods to parse the response
+
+    Because we use
+
+    :param bucket_name: The name of the S3 bucket
+    :param file_key: The file name of the shapefile in S3
+    :return: Io file to be parsed by another method
+    """
+    client = boto3.client('s3')
+
+    # Get the Parquet file from S3
+    response = client.get_object(Bucket=bucket_name, Key=file_key)
+
+    # Read the file into an io object
+    buffer = BytesIO(response['Body'].read())
+
+    return buffer
+
+
 def save_dataframe_to_s3_parquet(df, bucket_name, file_key):
     """
     Save a pandas DataFrame to S3 as a Parquet file.
@@ -75,14 +99,17 @@ def read_dataframe_from_s3_parquet(bucket_name, file_key):
     :return: A pandas DataFrame.
     """
 
-    # Create the boto3 client
-    client = boto3.client('s3')
+    if bucket_name is None:
+        raise ValueError("Bucket name is None when trying to read dataframe from parquet")
 
-    # Get the Parquet file from S3
-    response = client.get_object(Bucket=bucket_name, Key=file_key)
+    if not file_key.endswith(".parquet"):
+        raise ValueError("This file doesn't look like a parquet file")
+
+    parquet_buffer = read_io_from_s3(
+        bucket_name=bucket_name,
+        file_key=file_key
+    )
 
-    # Read the file into a pandas DataFrame
-    parquet_buffer = BytesIO(response['Body'].read())
     df = pd.read_parquet(parquet_buffer)
 
     return df
diff --git a/utils/tests/test_uvalue_estimates.py b/utils/tests/test_uvalue_estimates.py
deleted file mode 100644
index 1b29994c..00000000
--- a/utils/tests/test_uvalue_estimates.py
+++ /dev/null
@@ -1,80 +0,0 @@
-from utils.uvalue_estimates import classify_decile_newvalues
-
-
-def test_classify_decile_newvalues_edge_cases():
-    decile_labels = [f"Decile {i + 1}" for i in range(10)]
-    decile_boundaries = list(range(11))
-
-    # Test with values at the exact boundaries
-    assert classify_decile_newvalues(decile_boundaries, decile_labels, [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) == ['Decile 1',
-                                                                                                            'Decile 2',
-                                                                                                            'Decile 3',
-                                                                                                            'Decile 4',
-                                                                                                            'Decile 5',
-                                                                                                            'Decile 6',
-                                                                                                            'Decile 7',
-                                                                                                            'Decile 8',
-                                                                                                            'Decile 9',
-                                                                                                            'Decile 10']
-
-    # Test with values at the exact boundaries, but in reverse order
-    assert classify_decile_newvalues(decile_boundaries, decile_labels, [10, 9, 8, 7, 6, 5, 4, 3, 2, 1]) == ['Decile 10',
-                                                                                                            'Decile 9',
-                                                                                                            'Decile 8',
-                                                                                                            'Decile 7',
-                                                                                                            'Decile 6',
-                                                                                                            'Decile 5',
-                                                                                                            'Decile 4',
-                                                                                                            'Decile 3',
-                                                                                                            'Decile 2',
-                                                                                                            'Decile 1']
-
-    # Test with values just below the boundaries
-    assert classify_decile_newvalues(decile_boundaries, decile_labels, [x - 0.5 for x in range(2, 12)]) == ['Decile 1',
-                                                                                                            'Decile 2',
-                                                                                                            'Decile 3',
-                                                                                                            'Decile 4',
-                                                                                                            'Decile 5',
-                                                                                                            'Decile 6',
-                                                                                                            'Decile 7',
-                                                                                                            'Decile 8',
-                                                                                                            'Decile 9',
-                                                                                                            'Decile 10']
-
-    # Test with values just above the boundaries
-    assert classify_decile_newvalues(decile_boundaries, decile_labels, [x + 0.5 for x in range(1, 11)]) == ['Decile 2',
-                                                                                                            'Decile 3',
-                                                                                                            'Decile 4',
-                                                                                                            'Decile 5',
-                                                                                                            'Decile 6',
-                                                                                                            'Decile 7',
-                                                                                                            'Decile 8',
-                                                                                                            'Decile 9',
-                                                                                                            'Decile 10',
-                                                                                                            None]
-
-    # Test with empty list
-    assert classify_decile_newvalues(decile_boundaries, decile_labels, []) == []
-
-    # Test with a single value
-    assert classify_decile_newvalues(decile_boundaries, decile_labels, [5.5]) == ['Decile 6']
-
-    # Test with all values the same
-    assert classify_decile_newvalues(decile_boundaries, decile_labels, [5, 5, 5, 5, 5]) == ['Decile 5', 'Decile 5',
-                                                                                            'Decile 5', 'Decile 5',
-                                                                                            'Decile 5']
-
-    # Test with values out of order
-    assert classify_decile_newvalues(decile_boundaries, decile_labels, [10, 5, 1, 7, 3]) == ['Decile 10', 'Decile 5',
-                                                                                             'Decile 1', 'Decile 7',
-                                                                                             'Decile 3']
-
-    # Test with negative decile boundaries
-    decile_boundaries = list(range(-10, 1))
-    assert classify_decile_newvalues(decile_boundaries, decile_labels, [-9, -5, -1]) == ['Decile 2', 'Decile 6',
-                                                                                         'Decile 10']
-
-    # Test with floating point decile boundaries
-    decile_boundaries = [x / 10 for x in range(11)]
-    assert classify_decile_newvalues(decile_boundaries, decile_labels, [0.35, 0.55, 0.75]) == ['Decile 4', 'Decile 6',
-                                                                                               'Decile 8']
diff --git a/utils/uvalue_estimates.py b/utils/uvalue_estimates.py
deleted file mode 100644
index 8e2dbaa6..00000000
--- a/utils/uvalue_estimates.py
+++ /dev/null
@@ -1,39 +0,0 @@
-from typing import List
-
-from bisect import bisect_left
-
-
-def classify_decile_newvalues(
-    decile_boundaries: List[float], decile_labels: List[str], new_values: List[float]
-) -> List[str]:
-    """
-    Classify a list of new values into pre-established deciles.
-
-    This function is an alternative to UvalueEstimations.classify_decile_newvalues that does not depend on pandas,
-    making it suitable for use in environments where pandas may not be available (such as AWS Lambda).
-
-    :param decile_boundaries: A list of decile boundaries. These define the ranges of the deciles.
-    :param decile_labels: A list of labels for the deciles. These are the classifications to be assigned to the values.
-    :param new_values: A list of new values to be classified into the deciles.
-
-    :return: A list of classifications for the new values. Each classification corresponds to the decile in which
-             the respective new value falls. If a value falls outside the range of the deciles, its classification is
-             None.
-    """
-    classifications = []
-
-    # For each new value...
-    for value in new_values:
-        # If the value is outside the range of the deciles, classify it as None
-        if value < decile_boundaries[0] or value > decile_boundaries[-1]:
-            classifications.append(None)
-        else:
-            # Use bisect_left to find the decile in which the value falls
-            i = bisect_left(decile_boundaries, value)
-            # If the value falls exactly on a decile boundary, classify it in the lower decile
-            if i:
-                i -= 1
-            # Append the classification to the list of classifications
-            classifications.append(decile_labels[i])
-    return classifications
-