Descriptions + release dates

hub/management/commands/base_importers.py

@@ -35,7 +35,8 @@ def get_label(self, config):
         return config["defaults"]["label"]
 
     def delete_data(self):
-        pass
+        for data_type in self.data_types.values():
+            AreaData.objects.filter(data_type=data_type).delete()
 
     def add_data_sets(self, df=None):
         for name, config in self.data_sets.items():

hub/management/commands/generate_save_the_children_csv.py

@@ -66,7 +66,7 @@ def get_gss_code(self, mapit, postcode):
 
     def process_data(self, df):
         if not self._quiet:
-            self.stdout.write("Generating foodbank per constituency data")
+            self.stdout.write("Generating save the children count")
 
         df = df.dropna(subset="postcode")
         df.constituency = df.constituency.str.strip()

hub/management/commands/import_aid_alliance_power_postcodes.py

@@ -17,11 +17,12 @@ class Command(BaseAreaImportCommand):
 
     power_postcodes = {
         "label": "Power Postcodes",
-        "description": "Description of Aid Alliance 'Power Postcode' activist groups",
+        "description": "Aid Alliance’s Power Postcodes are activist groups building a stronger connection between communities and MPs in key constituencies, on international development and the UK aid budget.",
         "data_type": "json",
         "category": "movement",
         "subcategory": "groups",
-        "source_label": "Aid Alliance",
+        "release_date": "July 2023",
+        "source_label": "Data from Aid Alliance.",
         "source": "https://aidalliance.org.uk/",
         "source_type": "api",
         "data_url": "https://www.google.com/maps/d/u/0/viewer?mid=15b_tQI0t58rLcBTgFytu2e73jyKrrxFr",
@@ -35,10 +36,11 @@ class Command(BaseAreaImportCommand):
 
     power_postcode_counts = {
         "label": "Number of Power Postcodes",
-        "description": "Number of Aid Alliance 'Power Postcode' activist groups",
+        "description": "Aid Alliance’s Power Postcodes are activist groups building a stronger connection between communities and MPs in key constituencies, on international development and the UK aid budget.",
         "data_type": "integer",
         "category": "movement",
-        "source_label": "Aid Alliance",
+        "release_date": "July 2023",
+        "source_label": "Data from Aid Alliance.",
         "source": "https://aidalliance.org.uk/",
         "source_type": "api",
         "data_url": "https://www.google.com/maps/d/u/0/viewer?mid=15b_tQI0t58rLcBTgFytu2e73jyKrrxFr",

hub/management/commands/import_air_quality_data.py

@@ -20,10 +20,11 @@ class Command(BaseCommand):
     message = "Importing constituency air-pollution data"
     defaults = {
         "label": "Air pollution",
-        "description": "Data relating to air pollution, recorded in 2021",
+        "description": "Metrics of pollutants associated with air pollution, aggregated per constituency, recorded automatically across the UK.",
         "data_type": "float",
         "category": "place",
-        "source_label": "Defra",
+        "source_label": "Data from Defra.",
+        "release_date": "2021",
         "is_range": True,
         "source": source_url,
         "source_type": "csv",

hub/management/commands/import_area_age_data.py

@@ -23,11 +23,12 @@ def handle(self, quiet=False, *args, **options):
 
         defaults = {
             "label": "Constituency age distribution",
-            "description": "Constituency age distribution",
+            "description": "Distribution of the ages of the constituents of each constituency.",
             "data_type": "percent",
             "category": "place",
+            "release_date": "2021",
             "is_range": True,
-            "source_label": "House of Commons Library",
+            "source_label": "Data from ONS (England and Wales), NRS (Scotland), and NISRA (Northern Ireland), collated by House of Commons Library.",
             "source": self.source_url,
             "source_type": "xlxs",
             "table": "areadata",

hub/management/commands/import_area_countries.py

@@ -1,3 +1,5 @@
+from datetime import date
+
 from django.core.management.base import BaseCommand
 
 from tqdm import tqdm
@@ -31,9 +33,10 @@ def create_data_type(self):
             name="country",
             defaults={
                 "data_type": "text",
-                "description": "The country that the constituency is in",
+                "description": "The country that the constituency is in.",
+                "release_date": str(date.today()),
                 "label": "Country of the UK",
-                "source_label": "MapIt",
+                "source_label": "Data from mySociety.",
                 "source": "https://mapit.mysociety.org/",
                 "table": "areadata",
                 "options": options,

hub/management/commands/import_brexit_votes.py

@@ -20,8 +20,9 @@ class Command(BaseImportFromDataFrameCommand):
                 "label": "EU (Brexit) leave vote percentage",
                 "description": "Percentage of constituents who voted to leave the EU in the 2016 referendum",
                 "data_type": "percent",
+                "release_date": "February 2017",
                 "category": "opinion",
-                "source_label": "UK Parliament",
+                "source_label": "Data from the House of Commons Library.",
                 "source": "https://commonslibrary.parliament.uk/brexit-votes-by-constituency/",
                 "source_type": "xlxs",
                 "table": "areadata",

hub/management/commands/import_cafod_supporters.py

@@ -26,8 +26,9 @@ class Command(BaseImportFromDataFrameCommand):
     defaults = {
         "data_type": "integer",
         "category": "movement",
-        "source_label": "CAFOD",
+        "source_label": "Data from CAFOD.",
         "source": "https://cafod.org.uk",
+        "release_date": "February 2023",
         "source_type": "google sheet",
         "table": "areadata",
         "exclude_countries": ["Northern Ireland", "Scotland"],
@@ -42,6 +43,7 @@ class Command(BaseImportFromDataFrameCommand):
                 {
                     "subcategory": "supporters_and_activists",
                     "default_value": 10,
+                    "description": "Number of CAFOD activists per constituency.",
                 },
             ),
             "col": "activists",
@@ -52,6 +54,7 @@ class Command(BaseImportFromDataFrameCommand):
                 {
                     "subcategory": "places_and_spaces",
                     "default_value": 5,
+                    "description": "Number of CAFOD parishes per constituency.",
                 },
             ),
             "col": "parishes",
@@ -62,6 +65,7 @@ class Command(BaseImportFromDataFrameCommand):
                 {
                     "subcategory": "places_and_spaces",
                     "default_value": 5,
+                    "description": "Number of CAFOD schools per constituency.",
                 },
             ),
             "col": "schools",

hub/management/commands/import_cen_nzsg_members.py

@@ -28,9 +28,10 @@ def create_data_types(self):
             name="cen_member",
             defaults={
                 "data_type": "bool",
-                "description": "Conservative Environment Network membership",
+                "description": "MPs in the CEN’s parliamentary caucus are united around conservative environmentalist principles and championing greater environmental action in Parliament.",
                 "label": "MP membership of Conservative Environment Network (CEN)",
-                "source_label": "CEN, collated by mySociety",
+                "source_label": "Data from CEN, collated by mySociety.",
+                "release_date": "January 2023",
                 "source": "https://www.cen.uk.com/our-caucus",
                 "table": "person__persondata",
                 "options": options,
@@ -41,9 +42,10 @@ def create_data_types(self):
             name="nzsg_member",
             defaults={
                 "data_type": "bool",
-                "description": "Net Zero Scrutiny Group membership",
-                "label": "MP membership of Net Zero Scrutiny Group (NZSG)",
-                "source_label": "collated by DeSmog",
+                "description": "MPs in the Net Zero Scrutiny Group generally oppose the government’s net zero policies.",
+                "label": "MP supporter of Net Zero Scrutiny Group (NZSG)",
+                "source_label": "Data from public sources, collated by DeSmog.",
+                "release_date": "January 2023",
                 "source": "https://www.desmog.com/net-zero-scrutiny-group/",
                 "table": "person__persondata",
                 "options": options,

hub/management/commands/import_child_poverty_data.py

@@ -20,11 +20,12 @@ class Command(BaseImportFromDataFrameCommand):
     data_sets = {
         "constituency_child_poverty": {
             "defaults": {
-                "label": "Child Poverty",
-                "description": "Estimates of percentages of children in poverty",
+                "label": "Estimated child poverty",
+                "description": "Percentage of children living in households with a net income (after housing costs) below 60% of the national median.",
+                "release_date": "March 2022",
                 "data_type": "percent",
                 "category": "place",
-                "source_label": "End Child Poverty",
+                "source_label": "Data from End Child Poverty, based on data from DWP/HMRC.",
                 "source": source_url,
                 "source_type": "xlxs",
                 "data_url": data_url,

hub/management/commands/import_christian_aid_group_locations.py

@@ -18,11 +18,12 @@ class Command(BaseAreaImportCommand):
     data_file = settings.BASE_DIR / "data" / "christian_aid_groups.csv"
     defaults = {
         "label": "Christian Aid groups",
-        "description": "Descriptions of Christian Aid Groups",
+        "description": "Descriptions of Christian Aid groups",
         "data_type": "json",
         "category": "movement",
         "subcategory": "groups",
-        "source_label": "Christian Aid",
+        "release_date": "April 2023",
+        "source_label": "Data from Christian Aid.",
         "source": "",
         "source_type": "api",
         "data_url": "",
@@ -34,10 +35,11 @@ class Command(BaseAreaImportCommand):
 
     count_defaults = {
         "label": "Number of Christian Aid groups",
-        "description": "Number of Christian Aid Groups",
+        "description": "Number of Christian Aid groups",
         "data_type": "integer",
+        "release_date": "April 2023",
         "category": "movement",
-        "source_label": "Christian Aid",
+        "source_label": "Data from Christian Aid.",
         "source": "",
         "source_type": "api",
         "data_url": "",

hub/management/commands/import_cost_of_living_mrp_data.py

@@ -17,7 +17,8 @@ class Command(BaseImportFromDataFrameCommand):
         "data_type": "percent",
         "category": "opinion",
         "subcategory": "cost_of_living",
-        "source_label": "Survation 2023 MRP polling for 38Degrees",
+        "release_date": "March 2023",
+        "source_label": "Survation 2023 MRP polling, commissioned by 38Degrees.",
         "source": "https://home.38degrees.org.uk/2023/03/08/the-true-cost-of-this-crisis/",
         "source_type": "google sheet",
         "table": "areadata",
@@ -42,6 +43,18 @@ class Command(BaseImportFromDataFrameCommand):
         "mental_health_cost_of_living": "Mental health has been impacted by the cost of living crisis",
     }
 
+    descriptions = {
+        "not_able_to_afford_mortgage_rent": "Estimated percentage of constituents worried about not being able to afford their mortgage or rent in the next year.",
+        "not_able_to_pay_energy_bills": "Estimated percentage of constituents worried about not being able to pay their energy bills in the next year.",
+        "worried_foodbank": "Estimated percentage of constituents worried about having to use a foodbank in the next year.",
+        "conservatives_dont_understand_impact": "Estimated percentage of constituents who think that Rishi Sunak and the Conservative Government do not understand the impact the cost of living crisis is having on people.",
+        "missed_bill_payment": "Estimated percentage of constituents that have missed a bill payment in the last six months.",
+        "missed_rent_payment": "Estimated percentage of constituents that have missed a rent payment in the last six months.",
+        "missed_credit_payment": "Estimated percentage of constituents that have missed a credit payment in the last six months.",
+        "cant_afford_heating": "Estimated percentage of constituents that have not been able to afford to turn the heating on at home when they have felt cold in the past month.",
+        "mental_health_cost_of_living": "Estimated percentage of constituents whose mental health has been impacted by the cost of living crisis.",
+    }
+
     def add_data_sets(self, df):
         for col in df.columns:
             if col != "gss_code":
@@ -50,6 +63,7 @@ def add_data_sets(self, df):
                     "col": col,
                 }
                 self.data_sets[col]["defaults"]["label"] = self.labels[col]
+                self.data_sets[col]["defaults"]["description"] = self.descriptions[col]
 
         super().add_data_sets()
 

hub/management/commands/import_efpc_fuel_poverty_data.py

@@ -19,11 +19,12 @@ class Command(BaseImportFromDataFrameCommand):
     data_sets = {
         "efpc_constituency_fuel_poverty": {
             "defaults": {
-                "label": "Households in fuel poverty",
-                "description": "Percentage of households in fuel poverty",
+                "label": "Estimated households in fuel poverty",
+                "description": "Percentage of households in fuel poverty, including adjustment for Energy Price Guarantee, using National Energy Action base number of households in fuel poverty.",
                 "data_type": "percent",
+                "release_date": "July 2023",
                 "category": "place",
-                "source_label": "End Fuel Poverty Coalition",
+                "source_label": "Data from End Fuel Poverty Coalition.",
                 "source": source_url,
                 "source_type": "xlxs",
                 "data_url": "",

hub/management/commands/import_ethnicity_data.py

@@ -20,7 +20,8 @@ class Command(BaseCommand):
         "description": "Ethnicity as of the 2021 census (England and Wales)",
         "data_type": "percent",
         "category": "place",
-        "source_label": "House of Commons Library",
+        "release_date": "2021",
+        "source_label": "Data From House of Commons Library",
         "is_range": True,
         "source": source_url,
         "source_type": "xlxs",

hub/management/commands/import_flood_risk_data.py

@@ -14,10 +14,11 @@ class Command(BaseCommand):
     message = "Importing constituency flood risk data"
     defaults = {
         "label": "Flood risk from rivers or sea",
-        "description": "Data relating to risk of flooding from rivers or sea, recorded in 2018",
+        "description": "Data relating to risk of flooding from rivers or sea across the UK, aggregated by constituency.",
+        "release_date": "2018",
         "data_type": "percent",
         "category": "place",
-        "source_label": "Defra",
+        "source_label": "Data from Defra.",
         "is_range": True,
         "source_type": "csv",
         "table": "areadata",

hub/management/commands/import_foe_groups.py

@@ -20,8 +20,9 @@ class Command(BaseLatLongImportCommand):
         "category": "movement",
         "subcategory": "groups",
         "label": "Active Friends of the Earth groups",
-        "description": "Active Friends of the Earth groups by constituency",
-        "source_label": "Friends of the Earth",
+        "description": "Descriptions of active Friends of the Earth groups by constituency.",
+        "source_label": "Data from Friends of the Earth.",
+        "release_date": "November 2022",
         "source": "https://friendsoftheearth.uk/",
         "source_type": "google sheet",
         "table": "areadata",

hub/management/commands/import_foe_groups_count.py

@@ -19,7 +19,9 @@ class Command(BaseImportFromDataFrameCommand):
         "data_type": "integer",
         "category": "movement",
         "subcategory": "groups",
-        "source_label": "Friends of the Earth",
+        "description": "Number of Friends of the Earth groups per constituency.",
+        "release_date": "Novemeber 2022",
+        "source_label": "Data from Friends of the Earth.",
         "source": "https://friendsoftheearth.uk/",
         "source_type": "google sheet",
         "table": "areadata",

hub/management/commands/import_foe_supporters.py

@@ -19,7 +19,8 @@ class Command(BaseImportFromDataFrameCommand):
         "data_type": "integer",
         "category": "movement",
         "subcategory": "supporters_and_activists",
-        "source_label": "Friends of the Earth",
+        "release_date": "November 2022",
+        "source_label": "Data from Friends of the Earth.",
         "source": "https://friendsoftheearth.uk/",
         "source_type": "google sheet",
         "table": "areadata",
@@ -30,11 +31,19 @@ class Command(BaseImportFromDataFrameCommand):
 
     data_sets = {
         "constituency_foe_activists_count": {
-            "defaults": defaults,
+            "defaults": defaults.extend(
+                {
+                    "description": "Number of Friends of the Earth activists per constituency."
+                }
+            ),
             "col": "activists",
         },
         "constituency_foe_supporters_count": {
-            "defaults": defaults,
+            "defaults": defaults.extend(
+                {
+                    "description": "Number of Friends of the Earth supporters per constituency."
+                }
+            ),
             "col": "supporters",
         },
     }