diff --git a/README.md b/README.md
index 4747d77..3c19dc5 100644
--- a/README.md
+++ b/README.md
@@ -70,4 +70,10 @@ Nice to haves?
 - [Open Geography](https://geoportal.statistics.gov.uk/)
 - [CommunitiesOpenData](https://communitiesopendata-communities.hub.arcgis.com/)
 - [PlanetOSM](https://planet.openstreetmap.org/) for open street map POI
-- [TFL api](https://api-portal.tfl.gov.uk/signin)
\ No newline at end of file
+- [TFL api](https://api-portal.tfl.gov.uk/signin)
+- [EPC](https://epc.opendatacommunities.org/login) - <https://epc.opendatacommunities.org/downloads/domestic>
+
+rightmove:
+curl '<https://www.rightmove.co.uk/api/property-search/listing/search?searchLocation=E14&useLocationIdentifier=true&locationIdentifier=OUTCODE%5E749&buy=For+sale&radius=20.0&_includeSSTC=on&index=0&sortType=2&channel=BUY&transactionType=BUY>'
+
+curl '<https://www.onthemarket.com/async/search/properties-v2/?search-type=for-sale&location-id=e13&view=map-list>'
diff --git a/epc_analysis.ipynb b/epc_analysis.ipynb
new file mode 100644
index 0000000..2a07e87
--- /dev/null
+++ b/epc_analysis.ipynb
@@ -0,0 +1,1082 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# EPC Data Analysis\n",
+    "\n",
+    "Exploratory analysis of the Energy Performance Certificate (EPC) dataset (~29M rows, converted from CSV to parquet for memory efficiency)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-01-28T22:06:26.543050Z",
+     "iopub.status.busy": "2026-01-28T22:06:26.542977Z",
+     "iopub.status.idle": "2026-01-28T22:06:27.083569Z",
+     "shell.execute_reply": "2026-01-28T22:06:27.083187Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Rows: 28,847,961\n",
+      "Columns: 93\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (3, 93)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>LMK_KEY</th><th>ADDRESS1</th><th>ADDRESS2</th><th>ADDRESS3</th><th>POSTCODE</th><th>BUILDING_REFERENCE_NUMBER</th><th>CURRENT_ENERGY_RATING</th><th>POTENTIAL_ENERGY_RATING</th><th>CURRENT_ENERGY_EFFICIENCY</th><th>POTENTIAL_ENERGY_EFFICIENCY</th><th>PROPERTY_TYPE</th><th>BUILT_FORM</th><th>INSPECTION_DATE</th><th>LOCAL_AUTHORITY</th><th>CONSTITUENCY</th><th>COUNTY</th><th>LODGEMENT_DATE</th><th>TRANSACTION_TYPE</th><th>ENVIRONMENT_IMPACT_CURRENT</th><th>ENVIRONMENT_IMPACT_POTENTIAL</th><th>ENERGY_CONSUMPTION_CURRENT</th><th>ENERGY_CONSUMPTION_POTENTIAL</th><th>CO2_EMISSIONS_CURRENT</th><th>CO2_EMISS_CURR_PER_FLOOR_AREA</th><th>CO2_EMISSIONS_POTENTIAL</th><th>LIGHTING_COST_CURRENT</th><th>LIGHTING_COST_POTENTIAL</th><th>HEATING_COST_CURRENT</th><th>HEATING_COST_POTENTIAL</th><th>HOT_WATER_COST_CURRENT</th><th>HOT_WATER_COST_POTENTIAL</th><th>TOTAL_FLOOR_AREA</th><th>ENERGY_TARIFF</th><th>MAINS_GAS_FLAG</th><th>FLOOR_LEVEL</th><th>FLAT_TOP_STOREY</th><th>FLAT_STOREY_COUNT</th><th>&hellip;</th><th>WALLS_ENERGY_EFF</th><th>WALLS_ENV_EFF</th><th>SECONDHEAT_DESCRIPTION</th><th>SHEATING_ENERGY_EFF</th><th>SHEATING_ENV_EFF</th><th>ROOF_DESCRIPTION</th><th>ROOF_ENERGY_EFF</th><th>ROOF_ENV_EFF</th><th>MAINHEAT_DESCRIPTION</th><th>MAINHEAT_ENERGY_EFF</th><th>MAINHEAT_ENV_EFF</th><th>MAINHEATCONT_DESCRIPTION</th><th>MAINHEATC_ENERGY_EFF</th><th>MAINHEATC_ENV_EFF</th><th>LIGHTING_DESCRIPTION</th><th>LIGHTING_ENERGY_EFF</th><th>LIGHTING_ENV_EFF</th><th>MAIN_FUEL</th><th>WIND_TURBINE_COUNT</th><th>HEAT_LOSS_CORRIDOR</th><th>UNHEATED_CORRIDOR_LENGTH</th><th>FLOOR_HEIGHT</th><th>PHOTO_SUPPLY</th><th>SOLAR_WATER_HEATING_FLAG</th><th>MECHANICAL_VENTILATION</th><th>ADDRESS</th><th>LOCAL_AUTHORITY_LABEL</th><th>CONSTITUENCY_LABEL</th><th>POSTTOWN</th><th>CONSTRUCTION_AGE_BAND</th><th>LODGEMENT_DATETIME</th><th>TENURE</th><th>FIXED_LIGHTING_OUTLETS_COUNT</th><th>LOW_ENERGY_FIXED_LIGHT_COUNT</th><th>UPRN</th><th>UPRN_SOURCE</th><th>REPORT_TYPE</th></tr><tr><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>i64</td><td>str</td><td>str</td><td>i64</td><td>i64</td><td>str</td><td>str</td><td>date</td><td>str</td><td>str</td><td>str</td><td>date</td><td>str</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td><td>i64</td><td>f64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td><td>str</td><td>str</td><td>str</td><td>str</td><td>f64</td><td>&hellip;</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>i64</td><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>datetime[μs]</td><td>str</td><td>i64</td><td>i64</td><td>i64</td><td>str</td><td>i64</td></tr></thead><tbody><tr><td>&quot;0013ac0dc0f80dd06448efce74287d…</td><td>&quot;43 GAYAL CROFT&quot;</td><td>&quot;MILTON KEYNES&quot;</td><td>null</td><td>&quot;MK5 7HX&quot;</td><td>10003769440</td><td>&quot;C&quot;</td><td>&quot;B&quot;</td><td>75</td><td>89</td><td>&quot;House&quot;</td><td>&quot;Mid-Terrace&quot;</td><td>2022-08-22</td><td>&quot;E06000042&quot;</td><td>&quot;E14000822&quot;</td><td>null</td><td>2022-12-08</td><td>&quot;rental&quot;</td><td>75</td><td>90</td><td>175</td><td>61</td><td>1.9</td><td>31</td><td>0.7</td><td>55</td><td>44</td><td>340</td><td>342</td><td>98</td><td>63</td><td>61.0</td><td>&quot;Single&quot;</td><td>&quot;Y&quot;</td><td>null</td><td>null</td><td>null</td><td>&hellip;</td><td>&quot;Good&quot;</td><td>&quot;Good&quot;</td><td>&quot;None&quot;</td><td>&quot;N/A&quot;</td><td>&quot;N/A&quot;</td><td>&quot;Pitched, insulated (assumed)&quot;</td><td>&quot;Good&quot;</td><td>&quot;Good&quot;</td><td>&quot;Boiler and radiators, mains ga…</td><td>&quot;Good&quot;</td><td>&quot;Good&quot;</td><td>&quot;Programmer, room thermostat an…</td><td>&quot;Good&quot;</td><td>&quot;Good&quot;</td><td>&quot;Low energy lighting in 75% of …</td><td>&quot;Very Good&quot;</td><td>&quot;Very Good&quot;</td><td>&quot;mains gas (not community)&quot;</td><td>0</td><td>null</td><td>null</td><td>2.4</td><td>0.0</td><td>&quot;N&quot;</td><td>&quot;natural&quot;</td><td>&quot;43 GAYAL CROFT, MILTON KEYNES&quot;</td><td>&quot;Milton Keynes&quot;</td><td>&quot;Milton Keynes South&quot;</td><td>null</td><td>&quot;England and Wales: 1996-2002&quot;</td><td>2022-12-08 22:29:20</td><td>&quot;Rented (social)&quot;</td><td>8</td><td>null</td><td>25018528</td><td>&quot;Energy Assessor&quot;</td><td>100</td></tr><tr><td>&quot;20daddd4e5ce9abcca2efab2270af5…</td><td>&quot;30 Ditton Road&quot;</td><td>null</td><td>null</td><td>&quot;DA6 8JL&quot;</td><td>10003624703</td><td>&quot;D&quot;</td><td>&quot;B&quot;</td><td>59</td><td>84</td><td>&quot;House&quot;</td><td>&quot;Mid-Terrace&quot;</td><td>2022-11-03</td><td>&quot;E09000004&quot;</td><td>&quot;E14000558&quot;</td><td>null</td><td>2022-11-03</td><td>&quot;marketed sale&quot;</td><td>51</td><td>81</td><td>279</td><td>93</td><td>4.6</td><td>49</td><td>1.6</td><td>80</td><td>80</td><td>755</td><td>452</td><td>117</td><td>68</td><td>93.0</td><td>&quot;Unknown&quot;</td><td>&quot;Y&quot;</td><td>null</td><td>null</td><td>null</td><td>&hellip;</td><td>&quot;Poor&quot;</td><td>&quot;Poor&quot;</td><td>&quot;None&quot;</td><td>&quot;N/A&quot;</td><td>&quot;N/A&quot;</td><td>&quot;Pitched, 100 mm loft insulatio…</td><td>&quot;Average&quot;</td><td>&quot;Average&quot;</td><td>&quot;Boiler and radiators, mains ga…</td><td>&quot;Good&quot;</td><td>&quot;Good&quot;</td><td>&quot;Programmer and room thermostat&quot;</td><td>&quot;Average&quot;</td><td>&quot;Average&quot;</td><td>&quot;Low energy lighting in all fix…</td><td>&quot;Very Good&quot;</td><td>&quot;Very Good&quot;</td><td>&quot;mains gas (not community)&quot;</td><td>0</td><td>null</td><td>null</td><td>2.64</td><td>0.0</td><td>&quot;N&quot;</td><td>&quot;natural&quot;</td><td>&quot;30 Ditton Road&quot;</td><td>&quot;Bexley&quot;</td><td>&quot;Bexleyheath and Crayford&quot;</td><td>&quot;BEXLEYHEATH&quot;</td><td>&quot;England and Wales: 1950-1966&quot;</td><td>2022-11-03 16:38:48</td><td>&quot;Owner-occupied&quot;</td><td>11</td><td>null</td><td>100020205591</td><td>&quot;Energy Assessor&quot;</td><td>100</td></tr><tr><td>&quot;0019793879cf7ab92be22ba552e992…</td><td>&quot;The Paddocks&quot;</td><td>&quot;Bridge Road&quot;</td><td>&quot;Stoke Bruerne&quot;</td><td>&quot;NN12 7SE&quot;</td><td>10003816660</td><td>&quot;D&quot;</td><td>&quot;C&quot;</td><td>65</td><td>74</td><td>&quot;House&quot;</td><td>&quot;Detached&quot;</td><td>2022-12-16</td><td>&quot;E06000062&quot;</td><td>&quot;E14000942&quot;</td><td>null</td><td>2022-12-16</td><td>&quot;marketed sale&quot;</td><td>57</td><td>67</td><td>146</td><td>103</td><td>8.3</td><td>38</td><td>6.4</td><td>130</td><td>130</td><td>1008</td><td>959</td><td>184</td><td>93</td><td>217.0</td><td>&quot;Single&quot;</td><td>&quot;N&quot;</td><td>null</td><td>null</td><td>null</td><td>&hellip;</td><td>&quot;Good&quot;</td><td>&quot;Good&quot;</td><td>&quot;None&quot;</td><td>&quot;N/A&quot;</td><td>&quot;N/A&quot;</td><td>&quot;Pitched, insulated at rafters&quot;</td><td>&quot;Average&quot;</td><td>&quot;Average&quot;</td><td>&quot;Boiler and radiators, oil&quot;</td><td>&quot;Average&quot;</td><td>&quot;Good&quot;</td><td>&quot;Programmer, room thermostat an…</td><td>&quot;Good&quot;</td><td>&quot;Good&quot;</td><td>&quot;Low energy lighting in all fix…</td><td>&quot;Very Good&quot;</td><td>&quot;Very Good&quot;</td><td>&quot;oil (not community)&quot;</td><td>0</td><td>null</td><td>null</td><td>2.36</td><td>0.0</td><td>&quot;N&quot;</td><td>&quot;natural&quot;</td><td>&quot;The Paddocks, Bridge Road, Sto…</td><td>&quot;West Northamptonshire&quot;</td><td>&quot;South Northamptonshire&quot;</td><td>&quot;TOWCESTER&quot;</td><td>&quot;England and Wales: 1983-1990&quot;</td><td>2022-12-16 10:47:55</td><td>&quot;Owner-occupied&quot;</td><td>22</td><td>null</td><td>10023964427</td><td>&quot;Energy Assessor&quot;</td><td>100</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (3, 93)\n",
+       "┌───────────┬───────────┬───────────┬───────────┬───┬───────────┬───────────┬───────────┬──────────┐\n",
+       "│ LMK_KEY   ┆ ADDRESS1  ┆ ADDRESS2  ┆ ADDRESS3  ┆ … ┆ LOW_ENERG ┆ UPRN      ┆ UPRN_SOUR ┆ REPORT_T │\n",
+       "│ ---       ┆ ---       ┆ ---       ┆ ---       ┆   ┆ Y_FIXED_L ┆ ---       ┆ CE        ┆ YPE      │\n",
+       "│ str       ┆ str       ┆ str       ┆ str       ┆   ┆ IGHT_COUN ┆ i64       ┆ ---       ┆ ---      │\n",
+       "│           ┆           ┆           ┆           ┆   ┆ T         ┆           ┆ str       ┆ i64      │\n",
+       "│           ┆           ┆           ┆           ┆   ┆ ---       ┆           ┆           ┆          │\n",
+       "│           ┆           ┆           ┆           ┆   ┆ i64       ┆           ┆           ┆          │\n",
+       "╞═══════════╪═══════════╪═══════════╪═══════════╪═══╪═══════════╪═══════════╪═══════════╪══════════╡\n",
+       "│ 0013ac0dc ┆ 43 GAYAL  ┆ MILTON    ┆ null      ┆ … ┆ null      ┆ 25018528  ┆ Energy    ┆ 100      │\n",
+       "│ 0f80dd064 ┆ CROFT     ┆ KEYNES    ┆           ┆   ┆           ┆           ┆ Assessor  ┆          │\n",
+       "│ 48efce742 ┆           ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
+       "│ 87d…      ┆           ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
+       "│ 20daddd4e ┆ 30 Ditton ┆ null      ┆ null      ┆ … ┆ null      ┆ 100020205 ┆ Energy    ┆ 100      │\n",
+       "│ 5ce9abcca ┆ Road      ┆           ┆           ┆   ┆           ┆ 591       ┆ Assessor  ┆          │\n",
+       "│ 2efab2270 ┆           ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
+       "│ af5…      ┆           ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
+       "│ 001979387 ┆ The       ┆ Bridge    ┆ Stoke     ┆ … ┆ null      ┆ 100239644 ┆ Energy    ┆ 100      │\n",
+       "│ 9cf7ab92b ┆ Paddocks  ┆ Road      ┆ Bruerne   ┆   ┆           ┆ 27        ┆ Assessor  ┆          │\n",
+       "│ e22ba552e ┆           ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
+       "│ 992…      ┆           ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
+       "└───────────┴───────────┴───────────┴───────────┴───┴───────────┴───────────┴───────────┴──────────┘"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import polars as pl\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib.ticker as ticker\n",
+    "\n",
+    "plt.rcParams[\"figure.figsize\"] = (12, 5)\n",
+    "plt.rcParams[\"figure.dpi\"] = 100\n",
+    "\n",
+    "PARQUET = \"data_sources/epc/certificates.parquet\"\n",
+    "\n",
+    "def scan():\n",
+    "    return pl.scan_parquet(PARQUET)\n",
+    "\n",
+    "# Quick row count\n",
+    "row_count = scan().select(pl.len()).collect().item()\n",
+    "print(f\"Rows: {row_count:,}\")\n",
+    "print(f\"Columns: {len(scan().collect_schema().names())}\")\n",
+    "scan().head(3).collect()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Schema Overview"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-01-28T22:06:27.101365Z",
+     "iopub.status.busy": "2026-01-28T22:06:27.101128Z",
+     "iopub.status.idle": "2026-01-28T22:06:29.053942Z",
+     "shell.execute_reply": "2026-01-28T22:06:29.053508Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (93, 4)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>column</th><th>dtype</th><th>null_count</th><th>null_pct</th></tr><tr><td>str</td><td>str</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>&quot;LMK_KEY&quot;</td><td>&quot;String&quot;</td><td>0</td><td>0.0</td></tr><tr><td>&quot;ADDRESS1&quot;</td><td>&quot;String&quot;</td><td>49</td><td>0.0</td></tr><tr><td>&quot;ADDRESS2&quot;</td><td>&quot;String&quot;</td><td>14135472</td><td>49.0</td></tr><tr><td>&quot;ADDRESS3&quot;</td><td>&quot;String&quot;</td><td>26056812</td><td>90.3</td></tr><tr><td>&quot;POSTCODE&quot;</td><td>&quot;String&quot;</td><td>0</td><td>0.0</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>&quot;FIXED_LIGHTING_OUTLETS_COUNT&quot;</td><td>&quot;Int64&quot;</td><td>11903726</td><td>41.3</td></tr><tr><td>&quot;LOW_ENERGY_FIXED_LIGHT_COUNT&quot;</td><td>&quot;Int64&quot;</td><td>19926976</td><td>69.1</td></tr><tr><td>&quot;UPRN&quot;</td><td>&quot;Int64&quot;</td><td>646277</td><td>2.2</td></tr><tr><td>&quot;UPRN_SOURCE&quot;</td><td>&quot;String&quot;</td><td>646277</td><td>2.2</td></tr><tr><td>&quot;REPORT_TYPE&quot;</td><td>&quot;Int64&quot;</td><td>0</td><td>0.0</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (93, 4)\n",
+       "┌──────────────────────────────┬────────┬────────────┬──────────┐\n",
+       "│ column                       ┆ dtype  ┆ null_count ┆ null_pct │\n",
+       "│ ---                          ┆ ---    ┆ ---        ┆ ---      │\n",
+       "│ str                          ┆ str    ┆ i64        ┆ f64      │\n",
+       "╞══════════════════════════════╪════════╪════════════╪══════════╡\n",
+       "│ LMK_KEY                      ┆ String ┆ 0          ┆ 0.0      │\n",
+       "│ ADDRESS1                     ┆ String ┆ 49         ┆ 0.0      │\n",
+       "│ ADDRESS2                     ┆ String ┆ 14135472   ┆ 49.0     │\n",
+       "│ ADDRESS3                     ┆ String ┆ 26056812   ┆ 90.3     │\n",
+       "│ POSTCODE                     ┆ String ┆ 0          ┆ 0.0      │\n",
+       "│ …                            ┆ …      ┆ …          ┆ …        │\n",
+       "│ FIXED_LIGHTING_OUTLETS_COUNT ┆ Int64  ┆ 11903726   ┆ 41.3     │\n",
+       "│ LOW_ENERGY_FIXED_LIGHT_COUNT ┆ Int64  ┆ 19926976   ┆ 69.1     │\n",
+       "│ UPRN                         ┆ Int64  ┆ 646277     ┆ 2.2      │\n",
+       "│ UPRN_SOURCE                  ┆ String ┆ 646277     ┆ 2.2      │\n",
+       "│ REPORT_TYPE                  ┆ Int64  ┆ 0          ┆ 0.0      │\n",
+       "└──────────────────────────────┴────────┴────────────┴──────────┘"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "schema = scan().collect_schema()\n",
+    "\n",
+    "# Compute null counts in batches of columns to avoid OOM\n",
+    "batch_size = 10\n",
+    "all_nulls = {}\n",
+    "col_names = schema.names()\n",
+    "for i in range(0, len(col_names), batch_size):\n",
+    "    batch = col_names[i:i+batch_size]\n",
+    "    result = (\n",
+    "        scan()\n",
+    "        .select([pl.col(c).null_count().alias(c) for c in batch])\n",
+    "        .collect()\n",
+    "    )\n",
+    "    for c in batch:\n",
+    "        all_nulls[c] = result[c].item()\n",
+    "\n",
+    "schema_info = pl.DataFrame({\n",
+    "    \"column\": col_names,\n",
+    "    \"dtype\": [str(d) for d in schema.dtypes()],\n",
+    "    \"null_count\": [all_nulls[c] for c in col_names],\n",
+    "    \"null_pct\": [round(all_nulls[c] / row_count * 100, 1) for c in col_names],\n",
+    "})\n",
+    "schema_info"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Energy Rating Distribution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-01-28T22:06:29.054902Z",
+     "iopub.status.busy": "2026-01-28T22:06:29.054824Z",
+     "iopub.status.idle": "2026-01-28T22:06:29.241274Z",
+     "shell.execute_reply": "2026-01-28T22:06:29.240893Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "rating_order = [\"A\", \"B\", \"C\", \"D\", \"E\", \"F\", \"G\"]\n",
+    "rating_counts = (\n",
+    "    scan()\n",
+    "    .filter(pl.col(\"CURRENT_ENERGY_RATING\").is_in(rating_order))\n",
+    "    .group_by(\"CURRENT_ENERGY_RATING\")\n",
+    "    .len()\n",
+    "    .collect()\n",
+    ")\n",
+    "rc = {r[\"CURRENT_ENERGY_RATING\"]: r[\"len\"] for r in rating_counts.iter_rows(named=True)}\n",
+    "\n",
+    "colors = [\"#1a9641\", \"#52b947\", \"#a6d96a\", \"#fee08b\", \"#f09e4a\", \"#d7191c\", \"#a50026\"]\n",
+    "values = [rc.get(r, 0) for r in rating_order]\n",
+    "\n",
+    "fig, ax = plt.subplots()\n",
+    "bars = ax.bar(rating_order, values, color=colors)\n",
+    "ax.set_xlabel(\"Current Energy Rating\")\n",
+    "ax.set_ylabel(\"Number of Properties\")\n",
+    "ax.set_title(\"Distribution of Current Energy Ratings\")\n",
+    "ax.yaxis.set_major_formatter(ticker.FuncFormatter(lambda x, _: f\"{x/1e6:.1f}M\"))\n",
+    "for bar, v in zip(bars, values):\n",
+    "    ax.text(bar.get_x() + bar.get_width()/2, bar.get_height(), f\"{v/1e6:.1f}M\",\n",
+    "            ha=\"center\", va=\"bottom\", fontsize=9)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Property Type Breakdown"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-01-28T22:06:29.243014Z",
+     "iopub.status.busy": "2026-01-28T22:06:29.242929Z",
+     "iopub.status.idle": "2026-01-28T22:06:29.388503Z",
+     "shell.execute_reply": "2026-01-28T22:06:29.388068Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "prop_type = (\n",
+    "    scan()\n",
+    "    .group_by(\"PROPERTY_TYPE\")\n",
+    "    .len()\n",
+    "    .sort(\"len\", descending=True)\n",
+    "    .collect()\n",
+    ")\n",
+    "\n",
+    "fig, ax = plt.subplots()\n",
+    "ax.barh(prop_type[\"PROPERTY_TYPE\"].to_list()[::-1], prop_type[\"len\"].to_list()[::-1])\n",
+    "ax.set_xlabel(\"Count\")\n",
+    "ax.set_title(\"Properties by Type\")\n",
+    "ax.xaxis.set_major_formatter(ticker.FuncFormatter(lambda x, _: f\"{x/1e6:.1f}M\"))\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Energy Efficiency by Property Type"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-01-28T22:06:29.389426Z",
+     "iopub.status.busy": "2026-01-28T22:06:29.389348Z",
+     "iopub.status.idle": "2026-01-28T22:06:29.941153Z",
+     "shell.execute_reply": "2026-01-28T22:06:29.940746Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (5, 4)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>PROPERTY_TYPE</th><th>mean_efficiency</th><th>median_efficiency</th><th>count</th></tr><tr><td>str</td><td>f64</td><td>f64</td><td>u32</td></tr></thead><tbody><tr><td>&quot;Flat&quot;</td><td>69.745031</td><td>72.0</td><td>8236696</td></tr><tr><td>&quot;Maisonette&quot;</td><td>64.894323</td><td>68.0</td><td>710695</td></tr><tr><td>&quot;House&quot;</td><td>63.306193</td><td>65.0</td><td>17437884</td></tr><tr><td>&quot;Bungalow&quot;</td><td>60.703275</td><td>63.0</td><td>2448109</td></tr><tr><td>&quot;Park home&quot;</td><td>45.450847</td><td>48.0</td><td>14577</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (5, 4)\n",
+       "┌───────────────┬─────────────────┬───────────────────┬──────────┐\n",
+       "│ PROPERTY_TYPE ┆ mean_efficiency ┆ median_efficiency ┆ count    │\n",
+       "│ ---           ┆ ---             ┆ ---               ┆ ---      │\n",
+       "│ str           ┆ f64             ┆ f64               ┆ u32      │\n",
+       "╞═══════════════╪═════════════════╪═══════════════════╪══════════╡\n",
+       "│ Flat          ┆ 69.745031       ┆ 72.0              ┆ 8236696  │\n",
+       "│ Maisonette    ┆ 64.894323       ┆ 68.0              ┆ 710695   │\n",
+       "│ House         ┆ 63.306193       ┆ 65.0              ┆ 17437884 │\n",
+       "│ Bungalow      ┆ 60.703275       ┆ 63.0              ┆ 2448109  │\n",
+       "│ Park home     ┆ 45.450847       ┆ 48.0              ┆ 14577    │\n",
+       "└───────────────┴─────────────────┴───────────────────┴──────────┘"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "eff_by_type = (\n",
+    "    scan()\n",
+    "    .group_by(\"PROPERTY_TYPE\")\n",
+    "    .agg(\n",
+    "        pl.col(\"CURRENT_ENERGY_EFFICIENCY\").mean().alias(\"mean_efficiency\"),\n",
+    "        pl.col(\"CURRENT_ENERGY_EFFICIENCY\").median().alias(\"median_efficiency\"),\n",
+    "        pl.len().alias(\"count\"),\n",
+    "    )\n",
+    "    .filter(pl.col(\"count\") > 1000)\n",
+    "    .sort(\"mean_efficiency\", descending=True)\n",
+    "    .collect()\n",
+    ")\n",
+    "eff_by_type"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Energy Rating by Construction Age Band"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-01-28T22:06:29.941986Z",
+     "iopub.status.busy": "2026-01-28T22:06:29.941893Z",
+     "iopub.status.idle": "2026-01-28T22:06:30.515904Z",
+     "shell.execute_reply": "2026-01-28T22:06:30.515522Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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ACxcuWOfOna1MmTJWtGhRu3HjhnPf9evXrXr16jZ69OjEDjPJut3f0OjC05UrV5yFqXfeeceuXLliL774og0YMCCxw0xyoqKinN/Vdu3aZb169bISJUrYf//7X+cxJ0+edLnPsGHDrEyZMin+B8lbc7dz504bPXq0ZcmSxV544QXnMf/O0fDhw+2RRx6xU6dOJWqsiCmVu3tq4cGIioqSh4eH9uzZo1atWsnHx0d//PGHnn76abVu3Vpt2rTR7Nmz1b17d1WpUkVff/21smTJIk9PT/31119KmzatQkND5e3tneK7dZ8/f17nz5/XuXPnVLduXXl5eem5556Tr6+v3nzzTeXOnVv9+/fXuHHjJElBQUEKCgqSl5eXmyN3vwMHDujdd99Vly5dVKVKFaVKlYrcxcGePXvUunVrDRkyRJ06dVKaNGlUvnx5TZ8+Xc8//7zMTIcOHVKRIkUkSVmyZFGNGjWUNWtWN0eeNOzevVs1a9ZUhgwZ1LdvX0lS6dKlNW/ePO3atUv58uVzOd7MlDdvXmXPnj3Fv+9J0sGDBzVz5kxduHBBZcuWVY8ePZQpUybnKkARERHO4RfRw6pGjBihiRMn6vjx426O3r2OHj2qffv26ejRo2rUqJGyZs2qxx57TG+++aaGDBmiNGnSqE+fPvL09JQkpUuXTsWLF1e6dOncHHnScPjwYW3evFlHjx5VnTp1VKJECeXOnVu9evXS4cOHVapUKeexZqYbN26oWLFiyp07txujTjpOnTqlo0eP6vz582rcuLGyZ88uSYqIiFCqVKkUFRWl4OBgXbt2zfk5b/jw4XrzzTedQ9RS8nvgn3/+qfnz5+vChQsqVqyYOnTooLx582rw4MHq1KmTDh06pPfff1+DBw+WJKVJk0Z58+Z1vg9Gv0emRKdPn1ZoaKgKFiwYIw9eXl6KiopS+vTpNX36dPXr10+ffvqpPvroI/3+++/64Ycf3Bh50uBwOJQqVSotWbJEH3zwgcxMp0+f1tSpUxUSEqJRo0YpT548kqSVK1c6h/N99913ypYtm5ujd69bczdp0iQVLFhQ6dKl04cffqgbN25o9uzZypYtm8xMS5cu1Xfffadly5Zp7dq1/O1ICtxXD8ODdvr0afPz87PBgwfbnj177JtvvrEmTZpYhQoV7N133zWzm78uVqxY0bJnz2516tSxJk2aWPr06W3Xrl1ujj5p2LNnj1WqVMlKlChhadKksSeeeMJl/7lz55zDp8xuVum7du1qL730kkVGRqbo3hY3btywhg0bmsPhsH79+tmvv/7qsp/c3d3+/fstS5YsNnjwYJdfuc1uDredNGmSeXh4WKdOnWzDhg126tQpGzVqlBUoUCDGr2gpUfRKXT179rQCBQrYK6+84rL/ds+vgQMHWqtWrezq1auJFWaStXv3bsuaNat17NjR6tWrZ1WrVrX58+eb2T+5i4yMtJCQECtSpIht27bNXnvtNUuXLp1t27bNjZG73+7duy1nzpwWEBBgOXPmtAoVKliPHj2cv9COHTvWHA6HDRs2zHbs2GEXLlyw4cOHW+HChelhZv8891q1amVFixa1atWqWd26de3EiRNmdvthPsOHD7datWqxSIvd7F2RL18+K1mypHl7e1vp0qXtnXfesaCgIDMzl2GjuXLlsgsXLtjYsWMtQ4YMKf61a/bPKpnt2rWz2rVrW9WqVS1btmzOxTB27dplVapUsSJFitgLL7xgX331lb3wwguWNWvWFL969b59+yxfvnzWqFEjO3DggJnd/m9t9HPw4sWLli9fPsucOTPfO27xyy+/WPr06W3OnDl26tQpO3XqlHXq1MmqVKli48ePNzOzy5cv26RJk6xRo0b0cLzF77//blmyZLH333/frly5YpcuXbJXXnnFSpcubc8995zzuOhJ43///Xc3RotbUZRKxjZs2GClSpVy6aq4b98+GzhwoBUvXtxmz57tbJ82bZoNGzbMRo4cySpK/7N//37Lnj27jRgxwrZv325bt261HDly3HEp+YMHD9qIESMsY8aMLnMNpGSDBw+2Bg0aWIECBaxTp062fft2l/3RH0zInauoqCh7/vnn7dlnn3Vur1271mbNmmXbt293DudbtGiR5cuXz3Lnzm3Fixe3ggULxij+pUQ7d+60NGnSOOc/6tu3r9WuXdsuXrx42w/Ihw4dslGjRlmmTJn4cGc3u7dXrFjRZf6ogIAAe+2118ws5mpJFStWtIoVK5q3t3eM13hKE71s/CuvvOIc3jN8+HBzOBz2+OOPOwvMH330keXJk8fy5s1rxYoVs7x58zrnuEjJLl68aJUrV3ZZoXXOnDnmcDisSJEidvToUTP754vujh07bNiwYebr68uXWrs5xCx6FeWjR4/a33//bV26dLGqVata//797dKlS85jL168aGXLlrVWrVqZt7e37dixw42RJw0RERHWoUMHa9++vbMtMDDQnn32WUuTJo19+eWXZnbzi++oUaPskUcesbJly9qjjz7qHFKaUp08edJq1aplFStWtPr161vr1q2d3ydu93c3JCTEevbsaenTp0/xf3f/nZ+lS5daoUKFXFaEO3nypLVv395y585tb731lpndnBIjutiMmzZu3Gh58uSx48ePO9suXLhgI0aMMF9fXxs6dKiz/dapMeB+FKWSsc2bN1uWLFnsxx9/dGk/fPiw9enTx2rXrs38C3dw5coVa9++vfXt29flC9jo0aMtICDAzFz/iFy6dMn69etnJUqUoChg/3xpHTdunM2cOdO2bdtm+fPnt27dutmxY8fstddes3PnzpkZubuT+vXr24IFC8zMrGbNmlajRg3LmDGjlSlTxtq0aeP8cnv06FHbunWr/fjjj4yJt5vvb56eni5fajds2GAOh8NWrFgR4/g//vjDWrZsaQULFkzxXyqi7d2714oWLeryeuzVq5e1a9fOWrRoYf369XN+4Dt37pxlzpzZUqVKxXxIdvPvbpkyZSwwMNDZdvToUStatKiVLl3annzySWdh4OjRo/bjjz/a2rVrnb2AUrrff//dSpQo4TJh799//22VKlWyRx55xEqWLOnsTXb69Gl76qmnrEyZMkzw+z9//PGHFShQwKXAFBERYa+99ppVrVrV/vOf/zh7gu7fv98cDoelTp2a/P1PVFSUNWzY0EaNGuXSHhYWZr1797a0adM63+eiFzD4+++/6V1rZqtXr7a6devali1b7MMPP7S6deu6FKb+/WOGmdlTTz1lmzdvTuxQk5zo7xMbNmywLVu22KpVq6xw4cLOQnt07g4fPmyZM2e2fPny2cSJE90Wb1ISnbvVq1fb559/bjt37jR/f3+XBZXMbv69yJMnj3l7e1u/fv3cESrugXVLk7EcOXIob968WrlypW7cuOFs9/f3V58+fXT48GHt2LHD5T7GsqySpFSpUsnMVLJkSZflfUuXLq3AwECFhIS4LIGeOXNmDR06VN99950qVKjgjpCTlOicVa1aVd9//72qVKmiuXPnasOGDapfv74mTZqkq1evSrqZu5dffpnc/UumTJkUGBioV199VenTp9dnn32mEydOaPDgwTp37pzeeOMNhYWFKX/+/Kpatapq1arFmHhJOXPm1Lx58/TGG29Iujm/Xp06ddS+fXu98847unTpksvxRYoU0eDBg7V+/XqVL1/eDREnPdHzMnzzzTe6dOmSXn/9dc2fP1+lSpVSvnz5tH//frVt21aXLl1S9uzZNXfuXO3cuVNlypRxd+huFxwcrEuXLiksLMzZdvHiRfn6+urpp59WYGCgNmzYIEnKnz+/atWqpQYNGihv3rxuijhpCQ0NVWhoqE6fPu1sO336tK5fv64hQ4YoVapUWrx4sSQpV65cmjp1qlatWqVy5cq5K+QkxdvbW56ens453SIiIuTp6amRI0eqQYMGWrlypbZt2yZJyp07t4YNG6Zff/2V/P2Pw+FQvnz59M033yg8PFzSzb8hXl5emjx5surXr6/nnntOV69elYeHh1KlSqVMmTIxF5ykRo0aady4capWrZqeffZZde3aVRcvXtTIkSO1f/9+eXh4xPiOsXz5clWvXt1NEbtfdD4cDoe+//571atXT3///bcKFy6sa9euaebMmbp27ZrzM3VERIQqV66s9u3bq0OHDu4M3e1uzd2mTZv01FNPyeFwKHv27MqRI4cWLFiggwcPOo/38PBQtWrVNH78eL388svuCht349aSGBJEdAU9NDTUrl275rJv+vTp5nA4bPbs2TF+pWjdurW1a9cu0eJ82Fy4cMH57+jcffHFF1a6dGmX486ePXvbX4BSqlt7kG3cuNFKlizp3G7YsKGlSpXKmjVrxjC9O4hejevll1+2WrVqWbt27Wz69Okux4wdO9bKlSvHr7Nx8MEHH1ju3LmdvaGi84yYQkNDbcCAAVa8eHGrX7++pUmTxr744gvn/m+//db8/Pzshx9+cF+QSdSVK1esYMGCFhAQYMuWLbPVq1dbhgwZnD0vatWqZb169XJzlEnXjRs3rEaNGlarVi2bMmWKLVu2zDJkyGAvvfSSmZm1bdvWnnrqKTO7/ZCglC4sLMxq1KhhDRs2dK58G70alZlZpUqVXD73hYSEJHqMSd2qVausYsWKLkNwoz/jLVmyxPz9/V16QuLOFi5caHXq1LE2bdo4e0yNHDmSnqH/cvz4cfvggw/sjTfecLatWbPGUqVKZb1797aff/7ZTp8+bSNGjLCmTZsyd94tAgMDbfr06S7zhu7YscOyZs1qbdq0sSVLltiBAwfs5ZdftkcffZR5G5MwVt97yEWvsrd3714NHz5cp0+flp+fnypVqqThw4erb9++OnnypPr27avr16+rY8eOztUZwsPD5e/v7+ZHkHRcuXJFkZGRSpUqldKlS+dcwSx6tRrpZg+qW3tIvfzyyzp06JAWL16s1KlTuyXupODW3KVPn97ZXq5cOefKcF26dNG+ffv0zjvvaOrUqRoxYoRee+01lS5d2l1hJxn/fu5J0ujRo1WlShVt2rRJuXLlcjn+scce02effaZr167xC61urtoYHBwsb29vZcyYUWnTppXkugJSjx49NGvWLL366qtasWKFc9UzuOYvXbp08vX11eTJk3Xs2DFduHBBnTt3dunFWKhQIaVOnZocyjV3adOmVcaMGfXDDz+oadOmGjp0qMLCwtS/f3+99tprkuT8BRw3nT9/XidPnpS3t7d8fX2VL18+rVq1Sh06dNCCBQsUHh6uQYMGaezYsZKkAgUKaO/evZKUYlc3u1X0irVp06ZV+vTplTZtWs2fP181atRQjx499NFHHzl7fjscDjVv3lw//vij87Ojj4+Pux+CW/31119as2aNIiIiVKxYMT3++ON6/PHH1aBBA3377bdKnTq1BgwY4PxcU6JECUniNazb5y5a9Ofmzp07y+FwaN68eRo1apS8vb31ySefqH379vQO/Z/jx4+rQIECSpcunUaMGOFsb9iwoVauXKmePXtq9erVcjgcunr1qlavXq0sWbK4MeKkISoqSpcuXXJ+x3jppZec+ypVqqTVq1frpZde0tChQxUVFaXIyEh9/fXXypEjh7tCxr24uyqG+Nu/f79lzpzZBgwYYIsXL7Z+/fpZoUKFrHHjxs7eAK+//rqlTp3aWrdubb1797ZevXpZhgwZWHXgf3bv3m1VqlSxqlWrOlcsvN0qNKtWrbICBQqYmdmIESPMx8fHtmzZksjRJi23y130ZMfXrl2zypUrW86cOS1XrlzOeS7+7//+z8qWLcsqcXb7/G3atMnMbr62H3nkEcuVK5d98sknzl9thw4darVq1bIrV664M/QkYffu3VaqVCmrVKmS5c6d29q0aWNr1qxx7o+KinL+yj19+nQrWbJkip9U9Va3y9/KlSud+//880+rXLmybd++3dkzZeTIkVamTBmX1TNTorvl7saNG3bkyBE7dOiQ8/ioqChr3ry5jR492rmdku3evduKFClilSpVMj8/P6tataotWrTIzG72+Ll06VKMHhVt27a1F1980czIX/Tzr3jx4pYlSxbr0qWLrVu3zszMvvnmG8uQIYO1bdvWTp486fws2KlTJ2vTpo1L76mUKnqVxypVqliJEiXM4XBYr1697MSJExYWFmb9+/e3KlWqWNeuXe38+fN28uRJGz58uBUrVsw5J2ZKdbvcPf/88y494G99ji1YsMDSp09vGTNmZP6y25g7d66lTp3ann32WeeIl+j3t5MnT9rPP/9s3377rR07dsydYSZJa9assdSpU1udOnXs8OHDZvZP7i5dumSHDh1y9jRD0kZR6iEWFRVl4eHh1r9/f5dlLiMiIqxp06bmcDisWrVqzj8MK1assEGDBlndunWtS5cuTEr7P4GBgZYzZ04bNGiQbdu2zaZNm2alSpWykiVLOpcAjn6D+/bbb61q1ao2cuRI8/b2TvGrJd0td9EfjqdOnWr16tVzFqSic/nvoaYpUWzyd+zYMStXrpwVL17cChUqZE2bNrXMmTMzKbeZHTlyxHLlymVDhgyxwMBA++STT+zxxx+3dOnS2VdffeU8Lvo5d/bsWXM4HM5V5FK62OTv+vXrVrp0aatYsaK1bdvWnn32WcuaNWuKf/7dLXe3DnWMdvr0aRs2bJhlzZrVuVR6Snbs2DHLmzev/ec//7Fz587Zhg0brGPHjuZwOGzmzJkxjg8MDLSXX37ZMmfObPv27XNDxEnLiRMnLHfu3Pbiiy/a9u3bbfr06dasWTPLnz+/c0GHDRs2WJ48eax8+fJWv359e/rppy1dunR89rObw2xr167tXE358uXLtmrVKsuaNas1b97cDh48aOHh4TZ16lSrUqWKeXh4WNmyZS1PnjwpfkGWu+WuVatWLp+Lo38QevHFFy1Dhgy2d+9et8T8MJgzZ455eHjY66+/7vzMktIL77G1atUq8/DwsOeeey7F/1j2MKMolQw89dRT1r17dzP755eJKVOmWJcuXax06dLWq1evGG9sYWFhiR5nUvXqq69amzZtXNqGDh1qDofDChcu7CwOmN0s7DkcDsuaNSvLJ9u9c/fTTz9ZaGioyx8J/tj+4175i+7xc/36dVu2bJmNGTPG3nvvPfvzzz/dEW6S8+6771rTpk1d2qZMmWIOh8NSpUrlUhyI7inw3nvv0UP0f+6Vv88//9zMbn7p6Nmzp7Vq1cqef/55igIWt+fegQMHbPTo0ebn55fiv9BGW7x4sTVq1MhlbrePP/7YHA6HORwO++CDD5ztx48ftzfffNMKFSpE/v5n7dq1VrlyZZfl4Hft2mW9e/e2rFmz2jfffGNmZsHBwfb666/b888/b0OGDGEux/8JCQmxChUq2Ny5c83sn+LJtm3bzM/Pz1q1amUhISEWGRlp165ds2+//dY2b97sssx8SnWv3LVr185lzqMffvjBMmXKlOJ/xDX753Pv7t27be3atbZ06VKX/TNmzDAPDw8bP348n5H/JTofO3bssCVLltjMmTMtODjY+X32m2++MQ8PD+vTpw+FqYcUc0o9xMxMERERypQpk86ePasjR47I399fx44d06RJkzR27FgVLlxYK1as0OXLl5UxY0bnvAJeXl7uDj/JuHTpknM1vehVVsqUKaOmTZvK09NTM2bMULly5ZQ1a1ZVqlRJVapU0QcffMBKU7p77jw8PDRt2jTNmTNHOXPmdN4neh4Q5gO593Nv9uzZKlu2rHLmzKlWrVqpVatW7g45SQkODtaZM2cUHBysjBkzSpKKFSumVq1aydfXV2+88YbKlSsnf39/5/xHffr0cVlRMyW7V/7efPNNlS1bVo888ohmzZolDw8Plzn2UrK4PPeKFCmi5s2b67nnnmMelf+5fPmy9u/frzNnzjhzkj9/frVp00Z+fn4aMWKEKlWqpPLlyytv3rxq06aNOnfuHGN+vZQqLCxMu3bt0smTJ53Pv7Jly2rIkCGKiIjQq6++qnz58qlcuXIaOXKkJNc59lIyM9O1a9d05coVnTt3TtLN+WnMTFWqVNHSpUv16KOP6t1339WQIUOUNm1aNWnSxM1RJw2xzV21atU0ePBgSVLt2rV16NAh5zytKVX06++LL77QgAEDlCVLFp08eVLvv/++pk6dqjJlyuj555+XJA0cOFDXr1/XuHHjeM3qn9wtX75czz33nIoWLarAwEDNnz9fw4cPV6NGjfTkk0/qq6++UuvWrXXlyhVNmTKF+aMeNm4rhyHO/l01j97et2+f5cyZ08qXL28BAQGWLl066927t5mZnTp1yry8vOznn39O9HgfFq+99prlyJHDdu3aZVeuXLHjx49b9uzZbfbs2fb5559b1qxZ7eDBg87jWa3mH3HNHVyRv/iZN2+e+fn52YoVK+z48eMWGBho2bJls//+97+2efNmy5cvX4qf8+1u7id//Hp7E8+9+Fm9erWVKVPGpk6dart27bLff//dsmbNamPGjLFjx45Z6dKl7csvv3R3mElO9Ovv0KFDVq1aNXv99dctODjY5ZiNGzdaqVKlbMmSJWb2T08WXruupkyZYmnSpLGNGzea2c08Rfe6GD9+vJUsWdLOnz/P6sq3EdvcRY/e4Ll303fffWeZM2d29gTdtWuXORwOq1Onjm3fvt35XJs2bZplyZLFZRXwlG79+vWWPXt2mzdvnpmZHT161BwOh1WtWtWWLFninHN1+fLlljVrVuaQeghRlHpIRL9RnT171jmRm9k/w/UCAwNtzJgxNmLECFuwYIGZ3fwjsGnTJitVqhRdjm/j1mEDTzzxhPn6+lrFihUtXbp0LnN05cqVyxYvXuyOEJMschc/5C9+bs1fly5dLHfu3Fa4cGHz9fW1vn37Ovflz5/fpk2b5oYIkzbyd//IXfzcmr/hw4db6dKlLUeOHM7FWqKVKFHCRo4c6Y4Qk6SwsDALDQ11KZAMHTrUcuXKZZ9++qnzC1m0Rx991Lp165bYYSZZ58+ft/3799tPP/3kbDt27Ji1b9/eSpQoYT/++KOZ/VM8mT17tpUtW5YfIY3cJZRr167ZkCFDbMyYMWZmdvjwYStUqJB169bNHnnkEatSpYpt27bN+R75999/uy/YJCYsLMxee+01+89//mNmN4vy0bmrXbu2FSxY0D7//HPnXLVXr151Z7i4T/TBfwhEL927b98+NWnSRLVq1dLo0aP1yCOPKFWqVIqIiFChQoX06quvutzP4XDoq6++Upo0aZxLpKd0p06d0vHjx1WtWjV5enoqPDxcXl5eWrlypebOnSuHw6FMmTI5h0n9+eefypIliwoVKuTmyN2P3MUP+YufY8eOaefOnWrevLk8PT0VFhYmb29vLViwQN9++60iIyPl4+OjgIAAmZlOnDihbNmyqVSpUu4OPUkgf/eP3MXP4cOHtW7dOvXq1cslf+PHj1erVq1048YNSTeH+ZiZLl68qGzZsql8+fLuDTyJ2LdvnyZPnqy9e/eqfPnyCggIUKtWrTRp0iSdPHlSffr0UUhIiJo1a+ZcKj579uzy9/d3c+RJw969e9WtWzddvXpVR48e1RNPPKHly5fLz89Pffv21dtvv62OHTtqxowZaty4sSTp4MGD8vX1VVhYmHx8fNz8CNyH3MWP/W/YWVhYmNKmTat69eqpUKFCCgoK0tNPP6369etrzpw5+uGHH1S3bl316tVL8+fPV4UKFZQpUyZ3h+9W0bm7fPmyfH19FRAQoAwZMujKlSvq3Lmz6tWrpw8++EBHjx5VyZIlNXbsWHl6euqpp57iO+/Dyp0VMcTeyZMnrXr16laqVCmrUqWK9enTx2UFn393jd25c6f16NHDMmbMmOJXSYq2b98+y5Qpkz3++OO2adMmZ/udlkYODw+3UaNGWfHixVN8N1ByFz/kL372799vmTNntnLlytlnn33mbA8NDb3t8devX7fRo0dboUKF6CVq5C8+yF38/Pnnn5YtWzbLkyePTZ482dl+p/wFBQXZK6+8Ynnz5rUjR44kUpRJ1969ey1r1qzWs2dPGzJkiAUEBFhAQIDt37/feUyPHj2scOHC9tRTT9krr7xivXv3Nl9fXyY1t5uv3+zZs9uIESNsy5Yt9uOPP1rmzJlt2LBhzmN++eUX69OnjzkcDqtQoYJVr17dMmXKlOI/O5O7hLFu3Tp78cUXzeyfz3zffPONVa5c2blozerVq61ly5ZWuXJlCwwMdFeoSc7PP/9szz77rIWGhjp7kG3cuNHKli3rXEV0y5Yt1qRJE2vWrJnLSCI8fChKPSRWrVpljRo1sl27dtmMGTOsQoUKMQpT0cLDw23Tpk3Wp08flv79n7Nnz1qdOnWsUaNGVqJECWvWrJlLceDfcwb8+uuv1qdPH/P19U3xq/2Qu/ghf/Fz/vx5a9CggTVp0sQCAgKsfv369sknnzj3/zt/e/futV69elmmTJnIn5G/+CB38XPx4kVr0qSJNW/e3Hr06GHVqlWzSZMmOfffOpTP7GYBq2vXrpY1a1byZ2ZnzpyxatWq2UsvveRs27Vrl2XPnt2WLVvmcuzcuXOtd+/eVqVKFWvbtq3t2rUrscNNcq5cuWLt2rWzfv36ufxwO2zYMHvyySdjHP/999/b5MmT7f3337dDhw4lZqhJDrlLOCtXrjSHw2H/93//52x79913LV++fHbs2DEzMxs5cqSNGDEixntiSrdp0yZzOBy2cOFCZ9uyZcvMz8/PNm3aZOHh4TZmzBh7/vnnGS6aDDB87yHx2GOPKW3atCpbtqzKli0rM9OcOXP01ltv6cUXX1SxYsUk3RzqlypVKlWuXFmVKlVK8V1no50+fVp58+bV4MGD5ePjo7Zt22rixIkaNmyYHn30UXl4eLisTONwOJQ/f35t2bJFJUqUcHP07kXu4of8xc+1a9eUJ08ede/eXfny5dMLL7ygOXPmSJLat28fI39p06ZVtWrV9NJLLznfF1My8nf/yF38eHh4OFcOrVSpkt544w0tW7ZMkjR06FB5eno6pyeQpGzZsqlFixYaMWKEihYt6s7Qk4T9+/crb9686tChg6Sbn+/Kli2rGjVq6Pjx45LkHArZvXt3de/eXSEhIfL09GSFZd18/kVGRqp06dIuK5iVKlVKX3zxhcLCwiRJ3t7ekqR69eqpXr16bok1qSF39y/6b0L0f5944gkNHDhQkydPVtGiRVWkSBG1a9dOb7zxhurVq6ecOXPq999/14YNG5yrBKdU0Tm7fv26vL299eijj+rNN9/U2LFjVaZMGVWoUEENGjRQhgwZ1KFDB2XKlEnHjx/XunXr+L6bHLirGob4u12Pqddff92lWzduunbtmu3Zs8f5i8+uXbusePHi1qxZM5fJG28dThW9kkhKR+7ih/zF39GjR53//vPPP61x48Yxeq3cmjN+bXRF/u4fubs/0e93QUFBzrbjx49b3759Y/SYutNQvpTuwIEDNn/+fOd2dE6feOIJGz58uJuiejhE5+rs2bPOtuiejUuWLLFy5cq5HH/+/PlEiy2pI3fxt2rVKmvRooVt3LjRrl+/brt27bJHH33UZs2a5czliRMnbODAgfbKK68w1PYW3333nT366KO2cOFC+/vvv+3ixYvWrFkzGzFihHPy97///tsmT55s06ZNu+2IITycKEo9hG4dMnBrYapDhw7m4eHBm9s9RH+B2L17t7M4sGnTJouIiLCxY8c6Vy9ETOQufshf/EQX7g4dOuRSHIiMjLRBgwbZlClT3Bxh0kb+7h+5i5/o/J08edKlMBUVFWXdu3e3ESNGuDnCpO3WIVStWrVymddn6tSpLsNbENOtn5uXL19upUqVcm4PHTrUnn76aYb/3AG5i72oqCgLCQmxvn37msPhsGeeeca6du1qf//9t02aNMny5s3Lqnp3EBUVZeHh4TZp0iRzOBzWqFEjq1Onjh05csTef/99K1asmO3du9fdYeIBcpiZubu3FuLu1i7v77//vgYOHKi0adNqw4YNrFgTC5GRkfL09NTevXvVtm1bFStWTFFRUfruu++0fft2Vk26C3IXP+QvfqLzFxgYqAEDBig8PFwRERHasmWLfv75Z1WoUMHdISZp5O/+kbv4ic7fqVOnNH78eP32228KDQ3Vnj179MMPP6hatWruDjFJsv8NaYn+3NezZ08VKFBAo0eP1ogRIzRt2jRt375dpUuXdneoSY7dMrw22tdff62BAwcqMDBQI0eO1OTJk/Xjjz+qatWqbooyaSJ3sWf/GrL3yy+/qEmTJnrmmWeUPn16zZ8/X9OnT1ffvn1Vv359ffjhhzFym1JF5yz678O+ffvUsWNHNW7cWBkzZtT06dM1ZswYjRw5UmXKlNGaNWvcHTIeFPfVwxBfkZGRFhUVZS+88IJlzpyZCvJdRA+puPUXn+h///rrr+ZwOCxz5sysGHIb5C5+yF/8ROfv1mFR0b0G/vjjD8ucObNlypTJdu7c6Zb4kpp/r8RK/u4fuYuf6LzdOrwxOn9Hjhwxf39/y5w5Mwuy/M+/J87/d/6ic9e2bVsbO3asvfHGG5Y6dWrbsWNH4gaaRN3pvS84ONild8oXX3xhNWrUsFdeecW8vb3tl19+Scwwk5zoXk635o/cxd22bdts/PjxziHLs2fPtnLlytmJEydszpw5FhAQYMWKFTOHw2Fffvmlm6NNWrZv3269evWyixcvmtnN51n27NntxIkT9s0331jv3r2tXLly5nA4bMaMGW6OFg+Kh7uLYri3yMjI27Z7eHjo559/1rvvvqs1a9bQw+JfoqKiJEkRERHy9PTUiRMnNHXqVAUHB0u6mb+QkBDNmzdPGTJk0I8//kgvs/8hd/FD/uLu2LFj2r17t6R/3vOifzk7fvy4XnrpJZ07d07SzcngQ0ND9fbbbysqKko//vijypUr57bYk4Lo59atv76Sv7jjuZcwovN37NgxtW/fXidOnJB0M39hYWF6++23de7cOW3cuFFlypRxc7TudenSJUly9n6Xbp+/6Ne2l5eXxo0bp/Hjx+vHH39UpUqV3BJ3UhH9mrX/DfwwM+ff3r/++kslSpTQ5s2bXY7fsmWLpk+frp9//lkVK1Z0S9xJwYEDB9SwYUMdOnTI+fyKfu6Ru9ixm1Ph6LPPPtOKFStUu3Zt/frrr2rYsKEaNGigTz/9VD179tTEiRPVq1cvFSpUiF6N/xMVFSUz09atW7V7926VLFlSy5YtU40aNTRw4EBNnDhRDRo00OjRozVmzBiVKFFC9evXd3fYeEAoSiUh0X9QDx48qO3bt2vDhg2SdNfVGGrWrKnz58+rcuXKiRFikvb/7d15XMz5Hwfw17f71EVE6SASHSpCroiKxa5ybetmWQlZkpV1Zd2LJew6WmstrZ9znessyU1KckXOcoUOpZrevz/a+W4juWa3GTvv5+PhQd9j5v19mavPfI6srCzcvHkTN27cAFD6AU+6GmF6ejrc3Nzw6NEjGBkZiec8fvwYhw4dUvlGPc5OPpyffFJSUmBjY4Phw4cDgLgql7q6Om7dugVPT08IggBzc3PxHIlEgpMnT2Lfvn0q/wEvJSUFvXv3xqZNm8RtRCT+YsH5VSwzMxMJCQnYsWMHgNLHXlFRET/23pH0c0txcbHMdml+zZs3h4WFBWrVqiXuKykpwfXr13HkyBGVb5C6ePEiOnTogFWrVonbpM/divKrVasWatSogRMnTqj8Z7+rV69i3LhxCAgIQGRkJG7evAlBEKChoYE7d+6gSZMm6NSpE/z8/MRz3Nzc4OzsjMOHD6t0g15iYiKaNWuG+Ph4mS+EpI3xnN2bUZnZbwRBwKxZs7B27Vo4OjqiY8eOiI6OxpMnT3Dy5Ek8ePAArq6uGDt2LJKTk2FnZ6fAyhXv1exGjBiB2NhY9OrVC+Hh4QgPD8e9e/dQVFSExMREWFpa4rPPPsOFCxdQr149BVbO/lUK6qHFXiHtNrt582ZycHAgBwcHcnR0pCZNmsis/lOWtKv3q12WVdGFCxfIxcWFrK2tqU6dOuTr6yvmlpubS4aGhjR06NDXZvXixYvKLlepcHby4fzkc/78edLX16eWLVtSgwYNaP/+/URUOnwgOzubDAwMaMiQITL5SV/7Xh3uooouXrxIRkZGFBoaSmlpaTL7nj59Svr6+pxfBZKSkqhhw4bk5ORExsbG5OXlJe7jx97bXbx4kTp16iQO75FOZl5SUkJ5eXlUv359GjZsmEx+0n9zfkQpKSlkbGxMY8eOpRs3bsjsy8nJoXr16tGXX35Z7r3j3LlzlJ6eXpmlKqWkpCQyMzOj/v3706effkrNmjWjmTNnUklJCRUWFtKSJUtozJgxr33+5ufnK6pspZCYmEi6uroUGRlJPXv2JHd3d3FfcXExLV26lEJDQzm7CkhzSUhIoEWLFokrxUlFRUVRjx49yMPDgwRBoO7duyuoUuUjze7IkSMUFhZGc+bMkRkCv2nTJhoxYgRZWFiQIAgy78vsv40bpZRIbGwsGRgY0MqVK6mgoIBiY2NJEARauXKleAw3QJV3584dqlmzJoWHh9ORI0do06ZN5O7uTtbW1nTgwAEqLCyknTt38ofg1+Ds5MP5yScxMZH09PRoypQplJeXRzY2NjR69GiZYw4dOlRhfqr+evjixQvq2rUrjRw5kohK87hy5QodOXKEXr58SUQkru74Oqqc36VLl8jMzIy++eYbSk1NpaNHj1L16tUpPj5ePObgwYP82KvAjRs3yNbWlgRBIHd3d/EXsrKPtRMnTlSYk6rnV1hYSEFBQTRs2DAiKs3jzJkztHnzZnr48CERlTb6vW4+M0aUlpZG1tbWNGnSJHHb4MGDadSoUTLHVfTap8rOnz9PWlpa4gqOhw4dImtra9q4caN4zPPnzxVV3kdjx44dpKGhQS1atCBBEOjTTz+lvXv3ivsvXLhAa9asIU1NTapWrRo9fvxYgdUql927d5OGhgZ16tSJjIyMyMfHh1atWiXuz8jIoD///JMsLCzIwMCA7t+/r8BqWWXhRiklMmfOHBoxYgQRlX7gs7a2pq+++qrccfzBRNahQ4fI0dFR5kWruLiY/P39qUaNGnT8+HEi4m9mX4ezkw/n9+GuXr1KgiDI/FKxYsUKqlq1Kp08eVKBlX08nj17Rq6urnT48GEiIvL396dGjRqRgYEB1a5dmzZs2EC5ubmKLVIJPXnyhJo1a0Zff/21uK2oqIjatWtHMTExtGrVKsrMzFRghcotLy+PRo0aRQEBARQTE0PNmjUjZ2dnsWFK2iDKKpafn09NmjShzZs3ExFR+/btydnZmQwMDKhWrVo0c+ZMevDggYKrVE7FxcW0YsUKGjRoEGVlZYmfiUeOHEnt2rWj1q1bU9++fenYsWNExJ+Zy3ry5Al5eHiIDVJERI8ePaLGjRtT3759FVjZx0H6WMrIyKCePXuKnQaSkpLIw8ODOnfuTHv27JE558aNG3T9+vVKr1XZSLO7e/cujRw5klasWEFERNeuXaMePXpQ69atZTphEBHdu3eP7ty5U+m1MsXgOaUUiP4aU3v58mUApRMO5ufnIysrC23atIGvry+ioqIAAGvXrsWiRYsAgJcRfcXjx49x//59mJqaAgAKCwuhrq6O3bt3o2HDhhg0aBCISGYSUVaKs5MP5/fhsrKyEBUVhcjISHFb8+bNYW5ujqNHjwKoeJEHVqqgoACampowMjLC+PHjQURYs2YNrly5gjZt2mDChAk4deoUgL8n32eAqakpAgMD0a1bN3Hb7NmzER8fj/nz52POnDlwcXFBQkICAM7uVXp6emjUqBECAgLQs2dPzJ8/H3p6emjTpg2ePXsGLS0tfu6+hSAIMDY2hiAIiIiIgIaGBjZs2IAHDx6gX79+2LBhA3bt2gWAH3+vUldXR4cOHTB27FiYmJhAEARMnz4dq1atgo+PD9q2bYvCwkL07dtXnGOKlTI1NcWyZcswa9YsAKXvsVWrVsXkyZOxadMmxMbGKrhC5SYIAuLi4jB+/Hg8e/YM3t7eAAAnJyesXr0ajx49EhefkrK1tUWdOnUUVbLSEAQBp0+fRkhICE6fPi3Oh1e3bl189913sLCwwLp16xAdHS2eU7NmTVhaWiqqZFbZFNokxmj79u1kb29PiYmJtGXLFvL19aVq1arR0KFDiai0h4VEIqHg4GAaMWIEz0FThrTVPScnhywtLSk4OFjcJ/2m9t69e2RnZ0dz585VSI3KLicnh6ysrDi791C21xPn9/6k886UzbHsN9mjRo2iGjVqcA+fCjx+/Fgc3kNE1LJlS2rVqhUNGDCg3DLTvr6+1L59+8ou8aOza9cusra2pu3bt4tLUrdt25a8vb0VXJnyed1wqOLiYoqLiyvXY+rFixd048YN7in6CunrXffu3cnNzY0GDhxIv/76q8wxAwcOpMaNGyuivI+GNMeCggLq1KkT7dy5U9x39OhRMjc3pz///FNR5Sm1V3uP3bx5k9zd3Wny5MlExL273+TQoUNUtWpV0tHRoV27dsnsS0pKohYtWlDLli3p0KFDCqpQeZ0+fZqaNGlCurq69NNPP8nsS0tLo6CgIHJ2dqZ169YpqEKmSPz1vQLQXz2k7t+/j9WrV2Ps2LFwcXFBo0aNkJeXhypVqiAwMBAAkJOTg2+//RabN29GSEgIdHV1FVm6UsjPz0dJSQkKCwsBAPr6+ggLC8PRo0cxb948AICWlhZKSkpgZmYGS0tLZGZmKrJkpZGbm4vnz58jOzsbAKCjo4Nx48bh2LFjnN07uHTpEmbOnImXL1+CiKCrq8v5vYdLly5h0KBBuHv3rkzvMUEQxN4Aw4YNg4GBgfhtGZVZpUXVpaSkwNPTE/Hx8eK22bNnIzMzE2vXrhUzlL42+vr6ci+Bvzx69Ahnz55FUlIS8vLyZPbVrVsXu3fvRteuXWFiYgIA8PT0VESZSuvFixcoKSlBUVGRzPbi4mKoq6ujZcuWmDNnjthj6uHDhwgLC0O/fv1QUFCgoKqVhzS/goIC8Tm5cOFCvHjxAj///DOysrIA/P165+vrC21tbbx8+VJhNSuT9PR0rFy5EqtXr8a+ffsA/D1qQFtbG3/88Qc6d+4svgaampqievXqYi9mVVY2O2kPHml20sebjY0N/Pz8sGzZMjx8+JB7d7+Bt7c3duzYAQsLC6xZswbnzp0T9zk5OSEqKgra2tqoW7euAqtUTh4eHli5ciU8PT2xYcMG7Ny5U9xnZ2eHKVOmwMPDA61atVJglUxR+FVHAaTdP7/55hvk5eWhffv2AAB7e3ssWrQIVapUwfjx49GgQQMEBgYiOjoau3fvhoODg4IrV7yLFy+iS5cu8PLygru7O9atW4fnz5+jX79+aN26NTZu3Ijp06cDANTU1KCtrQ1TU1NoamoCUO1fcC9duoRu3brB29sb9vb22Lt3LzQ0NNC9e3d4eXkhJiaGs3uDCxcuwMnJCVpaWtDW1oYgCFBXV0dAQADn9w6Sk5PRqlUrqKur4/nz5+J2aS7SD8n16tVDnTp1sH37dpntqu7ChQto0aIF7t27h3nz5okZOjk5Yfjw4TA1NcXSpUuRm5sLLS0tAMC1a9dgYmKCoqIilX78JScno02bNhg4cCBcXV0xe/ZslJSUiJnUq1cPjo6OAP5+vGVmZqJRo0Yyx6mqixcvolu3bmjfvj1cXFywYsUKpKenAwA0NDQgkUggCAJatWqFuXPnwtDQELVq1UJ0dDQWLFgAPT09xV6AglWUX+3atTFz5kxYW1tjzZo1SElJERv9EhISYGRkpPKPPaD0+evh4YE1a9Zg1qxZCAwMxNChQ5GRkSEeI81J2piybt066OjowNraWiE1K4tXswsICJDJThAEcajt8OHDYWVlheXLl/OQ0b9IH1c3b97E6dOnceXKFeTm5qJ58+ZYuXIlzp49iwULFuD8+fPiOa6urti9ezesrKwUVbZSkGaXmpqKAwcOIDY2Fs+ePYOLiwvmz58PIsKyZctkGqbs7e2xYsUKlX/eqqxK75vFiKh05QEjIyPS0NCgP/74Q2bftWvXaMeOHTRhwgTasGFDuaWCVVVaWhqZmJhQcHAwLVmyhEJCQsjY2JiGDBlC169fp6ysLJowYQLZ2dmRj48PzZ49mwYNGkQGBgaUmpqq6PIVKjk5mUxMTGj06NH0+++/09ChQ6lq1ar07NkzIirtuh0WFka2trac3WtcuHCB9PX1afz48TLbpUNZ0tPTKSwsjB97FcjKyiI3NzdxlTgiotzc3HKTSUuH9p07d47U1NRow4YNlVqnspIu3z1x4kT6448/yM7OTmaVuKysLFq+fDlVr16dHB0dqV+/ftSnTx8yNjam5ORkBVaueNevX6fq1avThAkTKD09naKiokhNTa3CyVOLioooIiKCzM3N6fLly5VcrfK5evUqVatWjcaMGUObNm2iqVOnkiAIFBAQQAkJCeJxZZeL79y5M5mamtLFixcVVbbSqCi/7t2705kzZ4iIaO/evWRvb09WVlbk4+ND3bt3J2NjY7pw4YKCq1e8nJwcat68OYWEhBBR6QTTe/bsIVNTU/Lz8ys3gfStW7do/PjxZGJiovL5vW92EomEOnbsSG3btuXFCujvIY6bN2+mOnXqkIWFBdnb21OzZs3o1q1bRER04MABsrW1pb59+9KpU6fKnauqpNe/adMmqlWrFllbW5O1tTVZWlqKC9mcPn2a2rZtS126dBEXfGCqjRulFOjw4cNkZWVF3bt3p8TEREWXo/Tmz59PrVu3ltm2fv16cnJyoqCgILp16xbl5eXRgQMHqGPHjtSuXTvq2rWryn8wuXPnDjVu3JjCwsLEbadOnaJu3bpRRkaG2DCQl5dHBw8e5OxecePGDTIxMaHPP/+ciEo/uM2ePZuGDBlCPXr0EFc+y87O5sdeBW7dukXNmzenx48fk0QioYCAAPLy8iJ9fX0aMWJEubkX7ty5Qz179uQGeSI6c+YMaWhoiKsUlpSUkKOjIwUGBsocV1hYSOnp6TRs2DD6/PPPadiwYZSSkqKIkpVKREQEffLJJzLb/P396dixY5SQkEA3b94Utx8+fJg+//xzsrCwoHPnzlVypcpp9OjR1Lt3b5ltAwYMIF1dXQoMDBQbVohKG+lnz55NWlpadP78+UquVDlVlJ+Ojg51795dfI8oKCig6dOn0+jRoyk8PJy/zPhLfn4+ubm50caNG2W2X7lyhapWrUqffvqp+OXQiRMnaMSIEeTi4sKfqen9spN+IXT79m26cuVKpdeqrI4ePUp6enq0bNkySk5Opi1btlC7du2oevXqdPv2bSIqfd+oUqUKDR06lAoKChRcsfI4efIkGRoa0sqVKyk9PZ3OnTtHPXr0ICMjI/F949SpU9S4cWPq0aMH5eTkKLhipmjcKFUJpC3G0ifltWvXxAnLd+7cSbVr16YBAwZQUlJSuXPY3+bPn0+urq6Uk5MjMwnjpk2bqG7dujRx4sRy5xQWFlZmiUopPj6ehgwZIn6zQ1T6i5qBgQE1bNiQTE1NKSwsjB49eiRzHmdX6o8//iBLS0saPXo0nTlzhry9vcnb25s6d+5Mfn5+JAgCLVmypNx5nN/fLly4QDVr1qTU1FTq3r07+fr60o4dO2jp0qXk7e1NnTp1orNnz8qcw4s6lJo4cSKFhoYS0d8983799VeytbWluLg4Inr9+wVPVFtq9OjR5O/vT1lZWURENGPGDBIEgZo0aUI1atQgX19fOnLkCBGV/lI7ceJEbhAoIzAwUFzIITs7m4iIIiMjqWPHjlS/fn2ZxlIioujoaLp06ZJiilVC75ofe73c3FyqVasWTZs2TdwmfW+V9mCeMWOGuO/YsWN0//79Sq9TGb1vdvx7R3nz58+nrl27ymy7fv06eXt7U7t27cQFWY4dO0bXrl1TRIlKa+3atdS6dWuZXncFBQUUEBBAderUoefPnxNRaU/w9PR0RZXJlAg3Sv2LJBKJTPdPe3t7qlGjBjk4OFDr1q3pwYMHRFT6S2/t2rVp8ODB/O3sG2zcuJF0dXXFjMq+0C1fvpy0tLTKDRfgN9lSZXucrF69mtTV1Sk6OppSU1MpOjqatLW1adu2bTLncHZ/++2338jd3Z0sLCyoc+fOlJmZKX64mzFjBuno6JT7RZbzKyWRSOj27dvUqFEjWrZsGfXs2VOmB8+RI0fI0dGRVq1aRUSc26tet9rZ1atXqWbNmhQZGUlEf2dWNjvOsdTy5ctJX1+fAgMDKSgoiDQ1NWnLli2Um5tLx48fp1atWlF4eDgRlT5WpT0GWKnQ0FCysLAQf/nKyMggExMT2r9/Py1fvpz09PQqHArJPiw/fu7KWrBgAVlaWspMdSF9/42MjCRPT89yX6qxUu+S3ZMnT/gxV4GJEyeStbV1ue2//PIL1a9fX+wtxcpbuHAhGRkZiY8t6WeZuLg4sra25t93WTk80fm/4MCBA8jNzYWamhoEQcDRo0fRt29fjBkzBrt27cK0adMgkUjg4eGBR48e4ZNPPsGPP/6ImJgYrFq1Slw5icnq1asXOnTogG7duuHhw4fQ0tISV6YZPnw4ateujUOHDsmcw5Mkl7K1tQVQuiqXgYEB4uPjMWDAADg4OIh/HzhwQOYczu5vffr0QWhoKJo0aYKIiAhUr15dnMA8JCQEhoaGiIuLkzmH8yulpqYGKysr+Pj4IDg4GNu2bcOLFy/E/W3atIG9vX25VYFYKXV1dQCQmXjW3t4eI0eOxOLFi3H58mUxs7LZcY6lhg8fjtmzZ8PDwwMvX77E4MGD8dlnn0FfXx/NmjVDnTp1EB8fD4lEAjU1NWhoaCi6ZKUyZswY2NrawszMDP7+/qhTpw4CAwPh4+ODHj16wMTEBLdu3VJ0mUrrQ/JT5eduRkYGTp06hX379okTcHfv3h3NmzfH3LlzxfcJ6ftv1apVkZ2drfKT6QMfnp2Ojo5KP+bepF27djA2NsbatWtlVsK0t7dHQUFBuZVc2d/8/PxQu3ZtTJs2DXl5eeJnmapVq0IQhHIruTLGn77+YWPGjEFsbCz27dsHAwMDAMCxY8fg6+uLESNGAADc3Nzg6uqKgQMHol+/fti2bRv8/Pywfft2WFlZiSsnqbIrV67g559/xt27d+Hi4oJ27drBzc0N33//PYKCgtCsWTPExcXB0tISQOlyy4aGhuJy3qrs1ex8fHzg6uoKANDS0kJgYKC4Qg0R4enTpzAzM4OHh4cCq1Yer+bn7e0Nd3d3BAUFwdnZGfb29gBKsxMEAY8fP4aFhQUv//uXivJbuHAhsrOzER0djYMHD8Le3h5GRkYAAD09PdSvX1/BlSuHip6/ampqKCkpEZ+77du3x7p16xAfHw8HBwdIJBLxQ5+qejW7tm3bwsPDAyNHjgRQ+v6sq6sL4O/nLwA0atSIVzlD+fw6duwIZ2dn7Nu3D1FRUSgpKcEXX3yBoKAgAMDt27ehp6cnPo9VHecnn6SkJHTt2hXa2tp48OABatSogalTpyIgIABhYWGYNm0aIiIikJWVhd69e6OoqAg3btyAubm52Aijqji791f2/fR1PwNA8+bNYWdnh+joaEgkEvTt2xdEhK1bt6JKlSqoVq1aZZf90bC1tUWHDh1w+PBhSCQSTJo0CQUFBVi/fj00NTV5hT1WnkL7af3HJCYmUs2aNWnv3r1EROLKZl9//TXVrVu33PGrV68mR0dHunv3bqXWqexSUlLI2NiYevToQcOHDycrKytydXWln376iYhKV5Jr1aoVGRsb048//kgbNmyg8PBwMjMzo7S0NAVXr1ivy87NzY2WL18uHvPq8JTJkyeTvb09j+mmivNbunRphedMmjSJnJ2deR4Len1+jRs3pmXLlhER0ZMnTygoKIg0NDRo5MiRNGfOHAoNDSVTU1Oeh4be7flbdjjfF198Qba2toooVelUlF1UVJR4zPTp00lfX5/i4uIoISGBpkyZQqampjwhPFX8vrtixQrxmFfnKQsLCyNXV1ceOkWcn7wePnxIDg4O9M0331BaWhrdu3ePevXqRfXq1aNp06ZRQUEBJSYm0vDhw0lDQ4NcXFyoWbNmZGJiovKT6nN270/6XLx8+fJr5wQte8zTp08pICCAnJ2dyczMjNq2bUumpqYqO/ysovkqXzd9QE5ODo0fP56cnZ1JR0eHmjRpQubm5uXmEGWMiOeU+kedPHmSLCws6NSpU/TLL7+Qv78/PX/+nHbv3k0uLi60fv16mXmQYmNjydramq5evarAqpVLTk4O+fr6yqwUd/fuXTIzM6Nq1arRnDlzxOPGjBlDDRo0oPr165Onp6fKvkFIvSm76tWr08yZM2WO//PPPykkJISMjY1VPjuit+cnnb9Hau/evRQcHKzSH+zKelN+5ubm9N1334nb586dS76+vuTq6kqffPIJr5RE7/f8lTYsHz58mJycnFS+QfRt2Ukn85VIJNSrVy9SU1OjevXqkaurKz/26N3zk4qLi6OQkBAyNDTk1z7i/P4JKSkpZGNjI7OaIxHRhAkTqGHDhjR//nwqKSkR54KbMWMGrVixgieXJs7ufUkbVZKSksjMzIxq1apV4dxQ0i+B8vLy6MSJEzR37lxas2YNXb9+vdLqVSbS7O7fv0/79u2jrVu3VviFovTYly9f0p07dyg6Opp27NjBX4CzCvHwvX9Q06ZN4e3tjc6dO+Px48dYtmwZqlSpgubNm8PKygqrV6+GRCJBUFAQJBIJdu3aBWNjY5iZmSm6dKWhpqaGrKwscbjZixcvUKtWLbRr1w5ZWVnYunUrnJ2d4efnh4ULF+L+/fviXALGxsaKK1wJvC27Xbt2oXHjxvD390dOTg7S0tKQkpKCo0ePolGjRootXgm8Lb/du3fDzc1NzO/KlSs4e/YsYmNj4eTkpNjilcDb8vvjjz/g7OyMzp07Y/z48QgODoaGhgYkEok4pEqVvc/zVzrvkbu7Ow4cOABzc3MFVq547/LcdXd3h7+/PzZu3Ijg4GCYmJjA3Nxc5bMD3p7fnj17xPykxxcXF+P48eNo2LChAitXDpyf/IqKilBcXCzON5ifnw9dXV3Mnj0b+fn5WLJkCTp06ABnZ2c0a9YMzZo1U3DFyoOze3fSIXoXLlxAs2bN0KVLFxw4cABxcXEICgqSGdYNlM7pWFJSAj09PXh6esLT01OB1SuWNLvk5GR8+umnqFatGpKSktCiRQsEBwfjs88+kzleTU0NRAQtLS1YWlpiwIABiimcfTR4ovN/iHRMdq9evfD48WOYmJjA09MTRUVFMDY2xurVq2FgYID58+ejZs2a8PPzw8qVKxEdHQ1TU1MFV68ciAi5ubm4d+8e7t27B6B0rpm7d+8iJSUF/fr1w4sXL7B582bxHAsLCxgbG6t8g9S7ZJebm4stW7YAAAwNDTF48GBs2bKFG6TwYfkNHz4ce/bs4QYpvFt+eXl52LZtm3iOrq4utLS0uEEK7//4k55jaGio8o0q7/rYK/u+0apVKzRq1EjlswM+7LHn5eWF77//nhtUwPn9U1xcXGBhYYEpU6YAKH1/kE4svXjxYlSrVg2zZs1SZIlKi7N7N9JGlfPnz6NFixYIDQ3F77//joCAAMyfPx+ZmZmvnfD91XmmVJWamhrS0tLQqVMn9OzZE7t370Z8fDx0dHSwf//+157DE+iz96KgHlr/SYWFhRQdHU2//fYbdevWjSwsLCg2NlZcfvXZs2cUHx9PkZGRtHLlSpXtOvuqV5c8X7p0KQmCQIMGDaKIiAgyMDCgoUOHEhHRpk2byMbGhh4/flzhuGZVwtnJh/OTD+cnH87vw3F28vnQ/F6dk1BVcX7yyc3NpezsbHr+/Lm47dy5c2Rubk59+vQRt0nzGjt2LHXp0qXS61RGnN2Hu3nzJpmamtKECRPEbTExMWRpaUmHDx8movLPbVaqoKCAQkNDqU+fPlRQUCBu/+WXX6hatWr0+PFjBVbH/gu4+VdO9NeKPdIW+AEDBqBPnz7Ytm0bnJ2d0bt3b5w4cQLFxcUwMjKCl5cXJk2ahCFDhvBqXQCuXr2KRYsWISMjQ9z21VdfITo6GsnJyThz5gwmT56Mn376CQCQmZkJExMTmJqaqvy3F5ydfDg/+XB+8uH8PhxnJx958pMOHVVlnJ98Ll26hO7du6NNmzZo0KAB1q9fDwBo0KABFi9ejP3796NHjx4oKioSn68PHz6Evr4+iouLVXqlTM5OPtnZ2ViyZAlmz54tbuvZsydsbGwQGRkJACq/im1FJBIJjI2N4evrC21tbXG7g4MDNDU1UVJSUu6c121jrEIKbhT7qElXF9izZw8NHDiQXF1daebMmbRnzx7xmM6dO5OFhQUdPXpUZmUCRnTt2jUyNTUlQRBo4sSJ5Vagyc/Pl2mNJyIaOXIkBQYGUn5+vkrnydnJh/OTD+cnH87vw3F28uH85MP5ySclJYXMzMwoNDSU1q9fT2PHjiVNTU1xsZW8vDzasWMHWVpakoODA3366afUs2dP0tfXp+TkZAVXr1ic3ft72/NN2itq48aNVKdOHYqNjX2n81RV2UnKpb2O79y5Qw4ODjKvha9Ous/Yu+BGKTlt27aN9PT0KDw8nBYvXkzNmzcnJycnunDhgnhMly5dSEtLixISEhRYqXLJzc2lQYMG0YABAygqKooEQaDx48fLvKiVfVNITU2lMWPGkKGhISUlJSmiZKXB2cmH85MP5ycfzu/DcXby4fzkw/nJ58mTJ9SxY0caNWqUzPa2bdtSSEiIzLbs7GwKCwujIUOG0MiRIyklJaUyS1U6nN37kzaaPHr0iFJSUiglJaXC4duZmZlkZWVFX3/9dWWWqLSkOUn/fnXYcdnXOWlj6d27d4mI6NtvvyV7e3sezsfeG/cjlsODBw8wZ84czJ49GyEhISgoKMC0adMwcOBAODs7i6s47NixA7169ULVqlUVXbLSUFNTg7u7O8zMzMRsevfuDQAICwtD1apVxQnycnJysH//fpw/fx5xcXEqP7E0Zycfzk8+nJ98OL8Px9nJh/OTD+cnn6KiIjx79gyBgYEA/p72wtbWFllZWQBKp8SgvxZxmDNnjsxxqoyzez/S605KSkLv3r3FlQmrV6+ONWvWwNHRUXyuSiQSVK9eHeHh4YiMjERQUBAaN26syPIVSprd5cuXMXXqVCxYsAC1atWSeSyVncBcIpFAIpFAX18fkZGRmD17NhISEnhlefb+FNok9pHLysoiV1dXunXrFqWlpVGtWrXEiS2JiA4ePEg3btxQYIXKLTc3V+bnjRs3kiAING7cOLGFvbi4mB48eEBFRUWUlZWliDKVEmcnH85PPpyffDi/D8fZyYfzkw/nJ5+rV6+K/5YuAhQREUF9+/aVOa7sJN48lKoUZ/d+7t27R1ZWVhQeHk5nzpyh3bt3U4cOHcjMzIy2bNkiZiiVlJREpqamFBUVpaCKlUdaWhrVrl2b9PT0qGPHjmIvqNdNAn/79m3y8PCgAQMGkLa2Ng/dYx+Me0q9J/qr91NJSQmys7Px8uVLnD59GhMmTICfnx9WrFgBoHQizDVr1mDIkCGwtbVVcNXKSV9fH0BpK7uamhp69eoFIsLnn38OQRAwZswYzJ8/Hzdv3sRvv/0GExMTBVesPDg7+XB+8uH85MP5fTjOTj6cn3w4P/nY29sDKO2NoampCaD0c/XDhw/FY2bNmgVtbW2MGjUKGhoavKz8Xzi793P37l3o6+tj2LBhsLGxAQD4+/ujX79+GDBgADZt2oSOHTuiuLgYGhoacHJywpdffglvb2/FFq5geXl5mDFjBpo2bYr27dsjJiYG/fr1wy+//FKuxxRQ2iv07NmzSE1NxfHjx1W6lxmTk4Iawz4qRUVF4rcNr7YSh4SEkCAIFBgYKLN94sSJ5OLiQnfu3Km0Oj9mJSUl4tjljRs3kqamJtWvX580NDTESRzZ63F28uH85MP5yYfz+3CcnXw4P/lwfvKRfq6eNGkS+fv7ExHR5MmTSRAESkxMVGRpSo+ze7s9e/aQnp4ePXnyhIiIXr58Ke7r3bs31axZU+xV9roeQKps2bJlFB0dTUREW7dupbZt21K7du3EHlNl5+a6d+8effHFF3T58mVFlMr+QwQiFV8f9A0uXboER0dH8ecDBw5g8+bNUFdXh4ODA4KDg/HixQv0798f+/btww8//ID8/HykpqZi7dq1OHr0KFxcXBR4BR8X6UNREAS0b98eiYmJOHLkCM/F8A44O/lwfvLh/OTD+X04zk4+nJ98OL8PJ+1xMXXqVGRkZMDe3h4RERFISEiAm5ubostTapydLPprFEvZf0skEjg7O8PZ2RkbNmwAABQWFkJLSwvPnj1DmzZt0KVLF0RGRsqcr2rKXrtEIoG6urrMdiLC1q1bsWTJEgiCgHXr1qFWrVooKChAdnY2zM3NkZ+fD11dXUVeBvsvqPx2sI9DTEwMNW7cmNatW0dEpfNDCYJAvXv3Ji8vL6pfvz41a9aMioqK6NmzZxQSEkL29vbk5uZGn332Ga+08oGKi4spNDSUBEGQWcGQvR1nJx/OTz6cn3w4vw/H2cmH85MP5yefyMhIEgSBjIyM6PTp04ou56PC2f3daycnJ4cKCgpk5tSKjo4mV1dXmjRpkszxxcXF5O/vT0OGDKn0epXJm7IjIpl5t/73v/+JPaZu3LhBX331FXl4eFBBQYFKz13G/jk8p1QF3NzcYG5ujujoaJSUlOD48eP4/vvvMWbMGBQVFeH06dMYNmwY2rZti/j4ePzwww/IzMxE1apVUVRUxC3GcmjYsCHOnTsHZ2dnRZfy0eHs5MP5yYfzkw/n9+E4O/lwfvLh/D6cr68vJk+ejISEBJnRCeztVD07aY+x5ORkfPXVV8jPz8eTJ08wZswY9O7dG3369MHVq1exe/duvHjxAt9//704H5KRkRF0dXVRUlICQRBUrqdURdmFhoaia9eusLW1haampjjnVkBAAARBQFRUlDgKaP/+/dDW1lbwlbD/Ch6+9wbp6ekIDg6GIAi4e/cuZs2aBX9/fwClXRwTEhLw5ZdfIiwsDAMHDpTp9sg+HKlwN1p5cXby4fzkw/nJh/P7cJydfDg/+XB+8snLyxMnkWfvR9WzS09Ph4eHB7744gs0btwYt2/fxsKFC9GxY0dMnDgR9erVw/fff49ff/0Venp68Pf3x61bt7Bt2zacPHlSJRvzpCrKzt/fH8OGDUPr1q0B/D2sr7CwEH5+fkhMTMTRo0fRsGFDBV8B+y/hnlJvYGNjgyVLliA0NBRJSUmIi4sTG6XU1dXh7u4OLS0tXL9+XdzG5Mcf7D4cZycfzk8+nJ98OL8Px9nJh/OTD+cnH1VuVJGXqme3d+9e1K1bF4sWLRK3NW3aFN988w2mTp2K7777DhMmTECHDh2waNEinD9/HoaGhjh+/LhKN0gBFWc3adIk/PDDD9DR0UHTpk2hrq6O4uJifPfddzhx4gSOHz/ODVLsH8eNUm9hZ2eHqKgoAMC+ffvg4OCA/v37AwD09PRQo0YNlJSUyEx2yRhjjDHGGGPs3yMIArKzs/H06VMYGxuDiODr6wsNDQ2MHDkSS5cuxdKlS9G0aVP89ttvAMAjW/7ytuzWrVuHxo0bQ0NDAxoaGjA3N8fJkyd5IQf2r+Dhe+8oPT0dI0eOxO3bt+Hj44OmTZvi/PnzWLx4MRITE+Hg4KDoEhljjDHGGGNMJezbtw9dunTB7t274ePjg6KiImhqagIA/ve//6FXr16IjY1Fy5YtxXN4uG2pd8kuLi4OXl5eCq6UqQI1RRfwsbCxscHSpUthZ2eHH374AXPnzkVxcTHOnTvHDVKMMcYYY4wx9i8oKSl57XZfX1/069cPPXv2RGpqKjQ1NVFYWAgACAwMRKNGjRAfHy9zjqo1SMmT3dGjRyuzVKbCePjee5A2TD19+hSWlpaIiIiAiYmJostijDHGGGOMsf8c6Upx169fx48//oj09HQ4OjpixIgRqF69OsLDw5GRkYE2bdpg//794upwEokEOjo6MDY2VuwFKBBnxz4WPHzvA6Snp0NdXR1WVlaKLoUxxhhjjDHG/nOkjSoXL15Ehw4d0Lx5c+jr62P79u345JNPxHmiLl68iG+//Ra7du3CjBkzYGJigmvXrmHVqlU4deoU6tatq+ArqXycHfuYcKMUY4wxxhhjjDGlc+/ePfj7+6Njx46YP38+ACApKQktWrTAH3/8AW9vbwBAXl4elixZgpiYGEgkEhgbG+OHH36Aq6urAqtXLM6OfSx4+B5jjDHGGGOMMaVz4MABmJubIzQ0FABQXFwMa2tr1K5dW5wDCQD09fURHh6OwYMHw8DAAMXFxTA0NFRU2UqBs2MfC26UYowxxhhjjDGmdFq3bo20tDTUqlULAKCurg4jIyPo6enhwYMH5Y6vVq1aZZeotDg79rHg1fcYY4wxxhhjjCkdW1tbTJ8+HQBARDKr5+Xl5Yn/jomJwenTpyu9PmXG2bGPBTdKMcYYY4wxxhhTaoIgoLi4GACgq6sLIyMjAEBERAT69OkDMzMzRZan1Dg7psy4UYoxxhhjjDHGmNKT9vYpKSmBtrY2vvvuOyxcuBCnTp2CnZ2dgqtTbpwdU1a8+h5jjDHGGGOMsY+Gj48PUlNT8eTJE8THx8PDw0PRJX00ODumbHiic8YYY4wxxhhjSo+I8PLlS2RlZSEjIwPJyclo2LChosv6KHB2TFlxTynGGGOMMcYYYx+N1NRUEBEcHR0VXcpHh7NjyoYbpRhjjDHGGGOMMcZYpeOJzhljjDHGGGOMMcZYpeNGKcYYY4wxxhhjjDFW6bhRijHGGGOMMcYYY4xVOm6UYowxxhhjjDHGGGOVjhulGGOMMcYYY4wxxlil40YpxhhjjDHGGGOMMVbpuFGKMcYYY4wxxhhjjFU6bpRijDHGGKtEU6dOhaurq6LL+E9r27YtxowZo+gyGGOMMfYW3CjFGGOMsUqRmZmJkJAQ2NnZQVtbG1ZWVujSpQsOHjxYaTUMGDAAn376aaXdnyAI2LZtm8y2cePGVeo1z5o1C+rq6pg3b16l3eeAAQMgCIL4x8zMDH5+fkhKSqq0GhhjjDGm/LhRijHGGGP/uvT0dLi7u+PQoUOYN28ekpOTsXfvXnh7eyM4OFjR5ZVTVFT0r922gYEBzMzM/rXbf9WaNWsQFhaGNWvWVNp9AoCfnx8yMjKQkZGBgwcPQkNDA5988kml1sAYY4wx5caNUowxxhj7140YMQKCIODUqVMICAhAvXr10LBhQ4wdOxYnTpwQj7t9+za6desGAwMDVKlSBT179sSDBw/E/dKhb+vWrYONjQ2MjIzQu3dv5OTkiMf873//g5OTE3R1dWFmZgYfHx/k5eVh6tSpWLt2LbZv3y724Dly5AjS09MhCAJiYmLQpk0b6OjoYP369a8dZrdo0SLY2NjIbFuzZg0aNmwIbW1tWFhYYOTIkQAgHvfZZ59BEATx51dvt6SkBNOnT4elpSW0tbXh6uqKvXv3ivul9W3ZsgXe3t7Q09ODi4sLjh8//tbcY2NjkZ+fj+nTpyM7OxsJCQnljomMjIS5uTkMDQ0xZMgQhIeHl7vuVatWoUGDBtDR0YGDgwOWLVv21vvW1tZGjRo1UKNGDbi6uiI8PBx37tzBo0ePxGMmTJiAevXqQU9PD3Z2dpg8ebJMg+C7/H/n5eWhX79+MDAwgIWFBRYsWPDW2hhjjDGmHLhRijHGGGP/qqysLOzduxfBwcHQ19cvt9/Y2BhAaeNMt27dkJWVhdjYWOzfvx83btxAr169ZI5PS0vDtm3bsHPnTuzcuROxsbGYPXs2ACAjIwN9+vTBoEGDkJqaiiNHjqB79+4gIowbNw49e/aU6cHTokUL8XbDw8MxevRopKamwtfX952ubfny5QgODsaXX36J5ORk7NixA3Xr1gUAnD59GgAQHR2NjIwM8edXLV68GAsWLMD8+fORlJQEX19fdO3aFdeuXZM5btKkSRg3bhwSExNRr1499OnTB8XFxW+sb/Xq1ejTpw80NTXRp08frF69Wmb/+vXrMXPmTMyZMwdnz55F7dq1sXz58nLHfPvtt5g5cyZSU1Px3XffYfLkyVi7du07ZQQAubm5+PXXX1G3bl2ZXmKGhob4+eefcenSJSxevBgrV67EwoULZc590/83AIwfPx6xsbHYvn07/vzzTxw5cgTnzp1759oYY4wxpkDEGGOMMfYvOnnyJAGgLVu2vPG4P//8k9TV1en27dvitpSUFAJAp06dIiKiKVOmkJ6eHmVnZ4vHjB8/njw9PYmI6OzZswSA0tPTX3sf/fv3p27duslsu3nzJgGgRYsWyWyfMmUKubi4yGxbuHAhWVtbiz/XrFmTJk2aVOE1AaCtW7e+8XZr1qxJM2fOlDmmSZMmNGLECJn6Vq1aJe6X5pKamlrhfT9//px0dXUpMTGRiIjOnz9PBgYGlJOTIx7j6elJwcHBMud5eXnJ1FenTh367bffZI6ZMWMGNW/evML77t+/P6mrq5O+vj7p6+sTALKwsKCzZ89WeA4R0bx588jd3V38+W3/3zk5OaSlpUW///67uP/Jkyekq6tLo0ePfuN9McYYY0zxuKcUY4wxxv5VRPROx6WmpsLKygpWVlbiNkdHRxgbGyM1NVXcZmNjA0NDQ/FnCwsLPHz4EADg4uKC9u3bw8nJCT169MDKlSvx9OnTd7p/Dw+PdzpO6uHDh7h//z7at2//XueVlZ2djfv378PLy0tmu5eXl8w1A4Czs7P4bwsLC7GGimzYsAF16tSBi4sLAMDV1RXW1taIiYkRj7ly5QqaNm0qc17Zn/Py8pCWlobBgwfDwMBA/BMZGYm0tLQ3Xpu3tzcSExORmJiIU6dOwdfXF/7+/rh165Z4TExMDLy8vFCjRg0YGBggIiICt2/flrmdN/1/p6WlobCwEJ6enuJ+U1NT1K9f/421McYYY0w5cKMUY4wxxv5V9vb2EAQBly9f/kduT1NTU+ZnQRBQUlICAFBXV8f+/fuxZ88eODo6YsmSJahfvz5u3rz51tt9dWihmppauQa1svMd6erqfuglfJCy1y0IAgCI1/06q1evRkpKCjQ0NMQ/ly5deq8Jz3NzcwEAK1euFBuYEhMTcfHiRZm5wF5HX18fdevWRd26ddGkSROsWrUKeXl5WLlyJQDg+PHjCAoKQqdOnbBz506cP38ekyZNQmFhYYXXLb32N103Y4wxxj4e3CjFGGOMsX+VqakpfH19ERUVhby8vHL7nz17BgBo0KAB7ty5gzt37oj7Ll26hGfPnsHR0fGd708QBHh5eWHatGk4f/48tLS0sHXrVgCAlpYWJBLJO91OtWrVkJmZKdMwlZiYKP7b0NAQNjY2OHjwYIW3oamp+cb7q1KlCmrWrIljx47JbD927Nh7XfOrkpOTcebMGRw5ckSmMenIkSM4fvy42EBYv379cnNdlf25evXqqFmzJm7cuCE2MEn/2NravldNgiBATU0N+fn5AICEhARYW1tj0qRJ8PDwgL29vUwvqndRp04daGpq4uTJk+K2p0+f4urVq+91O4wxxhhTDA1FF8AYY4yx/76oqCh4eXmhadOmmD59OpydnVFcXIz9+/dj+fLlSE1NhY+PD5ycnBAUFIRFixahuLgYI0aMQJs2bd55aN3Jkydx8OBBdOzYEebm5jh58iQePXqEBg0aACgdCrZv3z5cuXIFZmZmMDIyqvC22rZti0ePHmHu3LkIDAzE3r17sWfPHlSpUkU8ZurUqRg+fDjMzc3h7++PnJwcHDt2DCEhIeL9HTx4EF5eXtDW1oaJiUm5+xk/fjymTJmCOnXqwNXVFdHR0UhMTMT69evfJ2IZq1evRtOmTdG6dety+5o0aYLVq1dj3rx5CAkJwdChQ+Hh4YEWLVogJiYGSUlJsLOzE4+fNm0aRo0aBSMjI/j5+eHly5c4c+YMnj59irFjx1ZYw8uXL5GZmQmgtKFo6dKlyM3NRZcuXQCU9qC7ffs2Nm7ciCZNmmDXrl1i4+G7MjAwwODBgzF+/HiYmZnB3NwckyZNgpoaf+/KGGOMfQz4HZsxxhhj/zo7OzucO3cO3t7e+Prrr9GoUSN06NABBw8eFFd7EwQB27dvh4mJCVq3bg0fHx/Y2dnJzIH0NlWqVEFcXBw6deqEevXqISIiAgsWLIC/vz8AYOjQoahfvz48PDxQrVq1cj2UymrQoAGWLVuGqKgouLi44NSpUxg3bpzMMf3798eiRYuwbNkyNGzYEJ988onMqnkLFizA/v37YWVlhcaNG7/2fkaNGoWxY8fi66+/hpOTE/bu3YsdO3bA3t7+na+7rMLCQvz6668ICAh47f6AgAD88ssvKCoqQlBQECZOnIhx48bBzc0NN2/exIABA6CjoyMeP2TIEKxatQrR0dFwcnJCmzZt8PPPP7+1p9TevXthYWEBCwsLeHp64vTp09i0aRPatm0LAOjatStCQ0MxcuRIuLq6IiEhAZMnT37v6503bx5atWqFLl26wMfHBy1btoS7u/t73w5jjDHGKp9A7zr7KGOMMcYY+8/r0KEDatSogXXr1im6FMYYY4z9x/HwPcYYY4wxFfXixQusWLECvr6+UFdXx4YNG3DgwAHs379f0aUxxhhjTAVwTynGGGOMMRWVn5+PLl264Pz58ygoKED9+vURERGB7t27K7o0xhhjjKkAbpRijDHGGGOMMcYYY5WOJzpnjDHGGGOMMcYYY5WOG6UYY4wxxhhjjDHGWKXjRinGGGOMMcYYY4wxVum4UYoxxhhjjDHGGGOMVTpulGKMMcYYY4wxxhhjlY4bpRhjjDHGGGOMMcZYpeNGKcYYY4wxxhhjjDFW6bhRijHGGGOMMcYYY4xVOm6UYowxxhhjjDHGGGOV7v81wZXW9t5GQwAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "age_eff = (\n",
+    "    scan()\n",
+    "    .filter(pl.col(\"CONSTRUCTION_AGE_BAND\").is_not_null())\n",
+    "    .group_by(\"CONSTRUCTION_AGE_BAND\")\n",
+    "    .agg(\n",
+    "        pl.col(\"CURRENT_ENERGY_EFFICIENCY\").mean().alias(\"mean_efficiency\"),\n",
+    "        pl.col(\"CURRENT_ENERGY_EFFICIENCY\").median().alias(\"median_efficiency\"),\n",
+    "        pl.len().alias(\"count\"),\n",
+    "    )\n",
+    "    .filter(pl.col(\"count\") > 10000)\n",
+    "    .collect()\n",
+    ")\n",
+    "\n",
+    "# Define sort order for known age bands\n",
+    "age_band_order = [\n",
+    "    \"before 1900\", \"1900-1929\", \"1930-1949\", \"1950-1966\", \"1967-1975\",\n",
+    "    \"1976-1982\", \"1983-1990\", \"1991-1995\", \"1996-2002\", \"2003-2006\",\n",
+    "    \"2007-2011\", \"2007 onwards\", \"2012 onwards\",\n",
+    "]\n",
+    "\n",
+    "def age_sort_key(band):\n",
+    "    for i, ab in enumerate(age_band_order):\n",
+    "        if ab in str(band):\n",
+    "            return i\n",
+    "    return 99\n",
+    "\n",
+    "age_eff = age_eff.with_columns(\n",
+    "    pl.col(\"CONSTRUCTION_AGE_BAND\").map_elements(age_sort_key, return_dtype=pl.Int64).alias(\"sort_key\")\n",
+    ").sort(\"sort_key\").filter(pl.col(\"sort_key\") < 99)\n",
+    "\n",
+    "labels = age_eff[\"CONSTRUCTION_AGE_BAND\"].to_list()\n",
+    "# Shorten labels\n",
+    "short_labels = [l.replace(\"England and Wales: \", \"\") for l in labels]\n",
+    "\n",
+    "fig, ax = plt.subplots()\n",
+    "ax.bar(short_labels, age_eff[\"mean_efficiency\"].to_list(), label=\"Mean\", alpha=0.7)\n",
+    "ax.bar(short_labels, age_eff[\"median_efficiency\"].to_list(), label=\"Median\", alpha=0.5)\n",
+    "ax.set_xlabel(\"Construction Age Band\")\n",
+    "ax.set_ylabel(\"Energy Efficiency Score\")\n",
+    "ax.set_title(\"Energy Efficiency by Construction Age\")\n",
+    "ax.legend()\n",
+    "plt.xticks(rotation=45, ha=\"right\")\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## CO2 Emissions Distribution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-01-28T22:06:30.516767Z",
+     "iopub.status.busy": "2026-01-28T22:06:30.516692Z",
+     "iopub.status.idle": "2026-01-28T22:06:31.276152Z",
+     "shell.execute_reply": "2026-01-28T22:06:31.275784Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Mean: 3.8, Median: 3.2, P99: 15.0\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "co2_stats = (\n",
+    "    scan()\n",
+    "    .select(pl.col(\"CO2_EMISSIONS_CURRENT\").cast(pl.Float64, strict=False))\n",
+    "    .filter(pl.col(\"CO2_EMISSIONS_CURRENT\").is_not_null() & (pl.col(\"CO2_EMISSIONS_CURRENT\") > 0))\n",
+    "    .select(\n",
+    "        pl.col(\"CO2_EMISSIONS_CURRENT\").mean().alias(\"mean\"),\n",
+    "        pl.col(\"CO2_EMISSIONS_CURRENT\").median().alias(\"median\"),\n",
+    "        pl.col(\"CO2_EMISSIONS_CURRENT\").quantile(0.99).alias(\"p99\"),\n",
+    "    )\n",
+    "    .collect()\n",
+    ")\n",
+    "p99 = co2_stats[\"p99\"].item()\n",
+    "mean_val = co2_stats[\"mean\"].item()\n",
+    "median_val = co2_stats[\"median\"].item()\n",
+    "print(f\"Mean: {mean_val:.1f}, Median: {median_val:.1f}, P99: {p99:.1f}\")\n",
+    "\n",
+    "# Use hash-based sampling to avoid collecting full column\n",
+    "co2_sample = (\n",
+    "    scan()\n",
+    "    .select(pl.col(\"CO2_EMISSIONS_CURRENT\").cast(pl.Float64, strict=False))\n",
+    "    .filter(\n",
+    "        pl.col(\"CO2_EMISSIONS_CURRENT\").is_not_null()\n",
+    "        & (pl.col(\"CO2_EMISSIONS_CURRENT\") > 0)\n",
+    "        & (pl.col(\"CO2_EMISSIONS_CURRENT\") < p99)\n",
+    "    )\n",
+    "    .collect()\n",
+    ")\n",
+    "co2_vals = co2_sample.to_series()\n",
+    "if len(co2_vals) > 500_000:\n",
+    "    co2_vals = co2_vals.sample(n=500_000, seed=42)\n",
+    "\n",
+    "fig, ax = plt.subplots()\n",
+    "ax.hist(co2_vals.to_list(), bins=100, edgecolor=\"none\", alpha=0.7)\n",
+    "ax.set_xlabel(\"CO2 Emissions (tonnes/year)\")\n",
+    "ax.set_ylabel(\"Count\")\n",
+    "ax.set_title(\"Distribution of Current CO2 Emissions (99th percentile, 500k sample)\")\n",
+    "ax.axvline(mean_val, color=\"red\", linestyle=\"--\", label=f\"Mean: {mean_val:.1f}\")\n",
+    "ax.axvline(median_val, color=\"orange\", linestyle=\"--\", label=f\"Median: {median_val:.1f}\")\n",
+    "ax.legend()\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n",
+    "\n",
+    "del co2_sample, co2_vals"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Floor Area Distribution by Property Type"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-01-28T22:06:31.277179Z",
+     "iopub.status.busy": "2026-01-28T22:06:31.277103Z",
+     "iopub.status.idle": "2026-01-28T22:06:31.967032Z",
+     "shell.execute_reply": "2026-01-28T22:06:31.966642Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_793155/4276860801.py:36: MatplotlibDeprecationWarning: The 'labels' parameter of boxplot() has been renamed 'tick_labels' since Matplotlib 3.9; support for the old name will be dropped in 3.11.\n",
+      "  ax.boxplot(data, labels=labels, vert=True)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "top_types = (\n",
+    "    scan()\n",
+    "    .group_by(\"PROPERTY_TYPE\")\n",
+    "    .len()\n",
+    "    .sort(\"len\", descending=True)\n",
+    "    .head(5)\n",
+    "    .collect()\n",
+    "    [\"PROPERTY_TYPE\"].to_list()\n",
+    ")\n",
+    "\n",
+    "# Sample per property type to avoid loading all data\n",
+    "fig, ax = plt.subplots()\n",
+    "data = []\n",
+    "labels = []\n",
+    "for pt in top_types:\n",
+    "    vals = (\n",
+    "        scan()\n",
+    "        .filter(\n",
+    "            (pl.col(\"PROPERTY_TYPE\") == pt)\n",
+    "            & pl.col(\"TOTAL_FLOOR_AREA\").is_not_null()\n",
+    "            & (pl.col(\"TOTAL_FLOOR_AREA\").cast(pl.Float64, strict=False) > 0)\n",
+    "        )\n",
+    "        .select(pl.col(\"TOTAL_FLOOR_AREA\").cast(pl.Float64, strict=False))\n",
+    "        .collect()\n",
+    "        .to_series()\n",
+    "        .drop_nulls()\n",
+    "    )\n",
+    "    p95 = vals.quantile(0.95)\n",
+    "    vals = vals.filter(vals < p95)\n",
+    "    # Sample if too large\n",
+    "    if len(vals) > 100_000:\n",
+    "        vals = vals.sample(n=100_000, seed=42)\n",
+    "    data.append(vals.to_list())\n",
+    "    labels.append(pt)\n",
+    "\n",
+    "ax.boxplot(data, labels=labels, vert=True)\n",
+    "ax.set_ylabel(\"Total Floor Area (m²)\")\n",
+    "ax.set_title(\"Floor Area Distribution by Property Type (95th pctl)\")\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Lodgement Trends Over Time"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-01-28T22:06:31.967996Z",
+     "iopub.status.busy": "2026-01-28T22:06:31.967918Z",
+     "iopub.status.idle": "2026-01-28T22:06:32.076565Z",
+     "shell.execute_reply": "2026-01-28T22:06:32.076202Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "lodgements = (\n",
+    "    scan()\n",
+    "    .filter(pl.col(\"LODGEMENT_DATE\").is_not_null())\n",
+    "    .with_columns(pl.col(\"LODGEMENT_DATE\").dt.year().alias(\"year\"))\n",
+    "    .filter(pl.col(\"year\").is_between(2008, 2025))\n",
+    "    .group_by(\"year\")\n",
+    "    .len()\n",
+    "    .sort(\"year\")\n",
+    "    .collect()\n",
+    ")\n",
+    "\n",
+    "fig, ax = plt.subplots()\n",
+    "ax.bar(lodgements[\"year\"].to_list(), lodgements[\"len\"].to_list())\n",
+    "ax.set_xlabel(\"Year\")\n",
+    "ax.set_ylabel(\"Certificates Lodged\")\n",
+    "ax.set_title(\"EPC Lodgements by Year\")\n",
+    "ax.yaxis.set_major_formatter(ticker.FuncFormatter(lambda x, _: f\"{x/1e6:.1f}M\"))\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Tenure Distribution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-01-28T22:06:32.077561Z",
+     "iopub.status.busy": "2026-01-28T22:06:32.077482Z",
+     "iopub.status.idle": "2026-01-28T22:06:32.397533Z",
+     "shell.execute_reply": "2026-01-28T22:06:32.397108Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_793155/3225898348.py:23: UserWarning: Tight layout not applied. tight_layout cannot make Axes width small enough to accommodate all Axes decorations\n",
+      "  plt.tight_layout()\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1400x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "tenure = (\n",
+    "    scan()\n",
+    "    .filter(pl.col(\"TENURE\").is_not_null() & (pl.col(\"TENURE\") != \"\"))\n",
+    "    .group_by(\"TENURE\")\n",
+    "    .agg(\n",
+    "        pl.len().alias(\"count\"),\n",
+    "        pl.col(\"CURRENT_ENERGY_EFFICIENCY\").mean().alias(\"mean_eff\"),\n",
+    "    )\n",
+    "    .sort(\"count\", descending=True)\n",
+    "    .collect()\n",
+    ")\n",
+    "\n",
+    "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n",
+    "\n",
+    "axes[0].pie(tenure[\"count\"].to_list(), labels=tenure[\"TENURE\"].to_list(), autopct=\"%1.1f%%\")\n",
+    "axes[0].set_title(\"Tenure Distribution\")\n",
+    "\n",
+    "tenure_sorted = tenure.sort(\"mean_eff\", descending=True)\n",
+    "axes[1].barh(tenure_sorted[\"TENURE\"].to_list(), tenure_sorted[\"mean_eff\"].to_list())\n",
+    "axes[1].set_xlabel(\"Mean Energy Efficiency\")\n",
+    "axes[1].set_title(\"Mean Energy Efficiency by Tenure\")\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Main Fuel Type Distribution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-01-28T22:06:32.398389Z",
+     "iopub.status.busy": "2026-01-28T22:06:32.398313Z",
+     "iopub.status.idle": "2026-01-28T22:06:32.909646Z",
+     "shell.execute_reply": "2026-01-28T22:06:32.909308Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fuel = (\n",
+    "    scan()\n",
+    "    .filter(pl.col(\"MAIN_FUEL\").is_not_null() & (pl.col(\"MAIN_FUEL\") != \"\"))\n",
+    "    .group_by(\"MAIN_FUEL\")\n",
+    "    .len()\n",
+    "    .sort(\"len\", descending=True)\n",
+    "    .head(10)\n",
+    "    .collect()\n",
+    ")\n",
+    "\n",
+    "fig, ax = plt.subplots(figsize=(12, 6))\n",
+    "ax.barh(fuel[\"MAIN_FUEL\"].to_list()[::-1], fuel[\"len\"].to_list()[::-1])\n",
+    "ax.set_xlabel(\"Count\")\n",
+    "ax.set_title(\"Top 10 Main Fuel Types\")\n",
+    "ax.xaxis.set_major_formatter(ticker.FuncFormatter(lambda x, _: f\"{x/1e6:.1f}M\"))\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Energy Efficiency vs Floor Area"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-01-28T22:06:32.910558Z",
+     "iopub.status.busy": "2026-01-28T22:06:32.910472Z",
+     "iopub.status.idle": "2026-01-28T22:06:33.047282Z",
+     "shell.execute_reply": "2026-01-28T22:06:33.046951Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sample = (\n",
+    "    scan()\n",
+    "    .filter(\n",
+    "        pl.col(\"TOTAL_FLOOR_AREA\").is_not_null()\n",
+    "        & pl.col(\"CURRENT_ENERGY_EFFICIENCY\").is_not_null()\n",
+    "        & (pl.col(\"TOTAL_FLOOR_AREA\").cast(pl.Float64, strict=False) > 0)\n",
+    "        & (pl.col(\"TOTAL_FLOOR_AREA\").cast(pl.Float64, strict=False) < 500)\n",
+    "    )\n",
+    "    .select(\n",
+    "        pl.col(\"TOTAL_FLOOR_AREA\").cast(pl.Float64, strict=False),\n",
+    "        pl.col(\"CURRENT_ENERGY_EFFICIENCY\"),\n",
+    "    )\n",
+    "    .collect()\n",
+    "    .sample(n=50_000, seed=42)\n",
+    ")\n",
+    "\n",
+    "fig, ax = plt.subplots()\n",
+    "ax.scatter(sample[\"TOTAL_FLOOR_AREA\"], sample[\"CURRENT_ENERGY_EFFICIENCY\"],\n",
+    "           alpha=0.05, s=1)\n",
+    "ax.set_xlabel(\"Total Floor Area (m²)\")\n",
+    "ax.set_ylabel(\"Current Energy Efficiency\")\n",
+    "ax.set_title(\"Energy Efficiency vs Floor Area (50k sample)\")\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n",
+    "\n",
+    "del sample"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Current vs Potential Energy Efficiency"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-01-28T22:06:33.048305Z",
+     "iopub.status.busy": "2026-01-28T22:06:33.048217Z",
+     "iopub.status.idle": "2026-01-28T22:06:33.342900Z",
+     "shell.execute_reply": "2026-01-28T22:06:33.342606Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Mean current efficiency: 65.0\n",
+      "Mean potential efficiency: 79.2\n",
+      "Mean improvement potential: 14.2 points\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "improvement = (\n",
+    "    scan()\n",
+    "    .filter(\n",
+    "        pl.col(\"CURRENT_ENERGY_EFFICIENCY\").is_not_null()\n",
+    "        & pl.col(\"POTENTIAL_ENERGY_EFFICIENCY\").is_not_null()\n",
+    "    )\n",
+    "    .group_by(\"PROPERTY_TYPE\")\n",
+    "    .agg(\n",
+    "        pl.col(\"CURRENT_ENERGY_EFFICIENCY\").mean().alias(\"current\"),\n",
+    "        pl.col(\"POTENTIAL_ENERGY_EFFICIENCY\").mean().alias(\"potential\"),\n",
+    "        (pl.col(\"POTENTIAL_ENERGY_EFFICIENCY\") - pl.col(\"CURRENT_ENERGY_EFFICIENCY\")).mean().alias(\"mean_improvement\"),\n",
+    "        pl.len().alias(\"count\"),\n",
+    "    )\n",
+    "    .filter(pl.col(\"count\") > 1000)\n",
+    "    .sort(\"mean_improvement\", descending=True)\n",
+    "    .collect()\n",
+    ")\n",
+    "\n",
+    "# Overall stats\n",
+    "overall = (\n",
+    "    scan()\n",
+    "    .filter(\n",
+    "        pl.col(\"CURRENT_ENERGY_EFFICIENCY\").is_not_null()\n",
+    "        & pl.col(\"POTENTIAL_ENERGY_EFFICIENCY\").is_not_null()\n",
+    "    )\n",
+    "    .select(\n",
+    "        pl.col(\"CURRENT_ENERGY_EFFICIENCY\").mean().alias(\"current\"),\n",
+    "        pl.col(\"POTENTIAL_ENERGY_EFFICIENCY\").mean().alias(\"potential\"),\n",
+    "    )\n",
+    "    .collect()\n",
+    ")\n",
+    "print(f\"Mean current efficiency: {overall['current'].item():.1f}\")\n",
+    "print(f\"Mean potential efficiency: {overall['potential'].item():.1f}\")\n",
+    "print(f\"Mean improvement potential: {overall['potential'].item() - overall['current'].item():.1f} points\")\n",
+    "\n",
+    "fig, ax = plt.subplots()\n",
+    "x = range(len(improvement))\n",
+    "width = 0.35\n",
+    "ax.bar([i - width/2 for i in x], improvement[\"current\"].to_list(), width, label=\"Current\")\n",
+    "ax.bar([i + width/2 for i in x], improvement[\"potential\"].to_list(), width, label=\"Potential\")\n",
+    "ax.set_xticks(list(x))\n",
+    "ax.set_xticklabels(improvement[\"PROPERTY_TYPE\"].to_list(), rotation=45, ha=\"right\")\n",
+    "ax.set_ylabel(\"Energy Efficiency Score\")\n",
+    "ax.set_title(\"Current vs Potential Energy Efficiency by Property Type\")\n",
+    "ax.legend()\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Top 20 Local Authorities by Number of Certificates"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-01-28T22:06:33.343873Z",
+     "iopub.status.busy": "2026-01-28T22:06:33.343778Z",
+     "iopub.status.idle": "2026-01-28T22:06:33.797103Z",
+     "shell.execute_reply": "2026-01-28T22:06:33.796854Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x700 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "la_counts = (\n",
+    "    scan()\n",
+    "    .filter(pl.col(\"LOCAL_AUTHORITY_LABEL\").is_not_null() & (pl.col(\"LOCAL_AUTHORITY_LABEL\") != \"\"))\n",
+    "    .group_by(\"LOCAL_AUTHORITY_LABEL\")\n",
+    "    .agg(\n",
+    "        pl.len().alias(\"count\"),\n",
+    "        pl.col(\"CURRENT_ENERGY_EFFICIENCY\").mean().alias(\"mean_eff\"),\n",
+    "    )\n",
+    "    .sort(\"count\", descending=True)\n",
+    "    .head(20)\n",
+    "    .collect()\n",
+    ")\n",
+    "\n",
+    "fig, ax = plt.subplots(figsize=(12, 7))\n",
+    "eff_values = la_counts[\"mean_eff\"].to_list()\n",
+    "colors_la = plt.cm.RdYlGn([(v - 50) / 30 for v in eff_values])\n",
+    "ax.barh(\n",
+    "    la_counts[\"LOCAL_AUTHORITY_LABEL\"].to_list()[::-1],\n",
+    "    la_counts[\"count\"].to_list()[::-1],\n",
+    "    color=colors_la[::-1],\n",
+    ")\n",
+    "ax.set_xlabel(\"Number of Certificates\")\n",
+    "ax.set_title(\"Top 20 Local Authorities (color = mean energy efficiency)\")\n",
+    "ax.xaxis.set_major_formatter(ticker.FuncFormatter(lambda x, _: f\"{x/1e3:.0f}k\"))\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Summary Statistics"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-01-28T22:06:33.797899Z",
+     "iopub.status.busy": "2026-01-28T22:06:33.797826Z",
+     "iopub.status.idle": "2026-01-28T22:06:36.111277Z",
+     "shell.execute_reply": "2026-01-28T22:06:36.111013Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (9, 10)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>column</th><th>count</th><th>null_count</th><th>mean</th><th>std</th><th>min</th><th>q25</th><th>median</th><th>q75</th><th>max</th></tr><tr><td>str</td><td>u32</td><td>u32</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>&quot;CURRENT_ENERGY_EFFICIENCY&quot;</td><td>28847961</td><td>0</td><td>64.953829</td><td>14.289267</td><td>0.0</td><td>58.0</td><td>67.0</td><td>74.0</td><td>13060.0</td></tr><tr><td>&quot;POTENTIAL_ENERGY_EFFICIENCY&quot;</td><td>28847961</td><td>0</td><td>79.197588</td><td>11.097917</td><td>0.0</td><td>75.0</td><td>81.0</td><td>85.0</td><td>13071.0</td></tr><tr><td>&quot;ENERGY_CONSUMPTION_CURRENT&quot;</td><td>28847961</td><td>0</td><td>253.700647</td><td>173.148972</td><td>-320866.0</td><td>174.0</td><td>233.0</td><td>308.0</td><td>312273.0</td></tr><tr><td>&quot;CO2_EMISSIONS_CURRENT&quot;</td><td>28847961</td><td>0</td><td>3.819772</td><td>3.585926</td><td>-2854.8</td><td>2.1</td><td>3.2</td><td>4.7</td><td>4863.0</td></tr><tr><td>&quot;TOTAL_FLOOR_AREA&quot;</td><td>28847959</td><td>2</td><td>86.904086</td><td>118.035704</td><td>0.0</td><td>59.48</td><td>77.0</td><td>99.0</td><td>530331.552</td></tr><tr><td>&quot;HEATING_COST_CURRENT&quot;</td><td>28840897</td><td>7064</td><td>708.726959</td><td>644.316629</td><td>-944269.0</td><td>364.0</td><td>571.0</td><td>860.0</td><td>201800.0</td></tr><tr><td>&quot;LIGHTING_COST_CURRENT&quot;</td><td>28840912</td><td>7049</td><td>82.130655</td><td>589.723862</td><td>-768.0</td><td>54.0</td><td>73.0</td><td>100.0</td><td>3.15769e6</td></tr><tr><td>&quot;HOT_WATER_COST_CURRENT&quot;</td><td>28841075</td><td>6886</td><td>154.051112</td><td>102.004094</td><td>-38254.0</td><td>94.0</td><td>120.0</td><td>183.0</td><td>66675.0</td></tr><tr><td>&quot;NUMBER_HABITABLE_ROOMS&quot;</td><td>25398115</td><td>3449846</td><td>4.215609</td><td>1.915856</td><td>0.0</td><td>3.0</td><td>4.0</td><td>5.0</td><td>3424.0</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (9, 10)\n",
+       "┌───────────────────┬──────────┬────────────┬────────────┬───┬───────┬────────┬───────┬────────────┐\n",
+       "│ column            ┆ count    ┆ null_count ┆ mean       ┆ … ┆ q25   ┆ median ┆ q75   ┆ max        │\n",
+       "│ ---               ┆ ---      ┆ ---        ┆ ---        ┆   ┆ ---   ┆ ---    ┆ ---   ┆ ---        │\n",
+       "│ str               ┆ u32      ┆ u32        ┆ f64        ┆   ┆ f64   ┆ f64    ┆ f64   ┆ f64        │\n",
+       "╞═══════════════════╪══════════╪════════════╪════════════╪═══╪═══════╪════════╪═══════╪════════════╡\n",
+       "│ CURRENT_ENERGY_EF ┆ 28847961 ┆ 0          ┆ 64.953829  ┆ … ┆ 58.0  ┆ 67.0   ┆ 74.0  ┆ 13060.0    │\n",
+       "│ FICIENCY          ┆          ┆            ┆            ┆   ┆       ┆        ┆       ┆            │\n",
+       "│ POTENTIAL_ENERGY_ ┆ 28847961 ┆ 0          ┆ 79.197588  ┆ … ┆ 75.0  ┆ 81.0   ┆ 85.0  ┆ 13071.0    │\n",
+       "│ EFFICIENCY        ┆          ┆            ┆            ┆   ┆       ┆        ┆       ┆            │\n",
+       "│ ENERGY_CONSUMPTIO ┆ 28847961 ┆ 0          ┆ 253.700647 ┆ … ┆ 174.0 ┆ 233.0  ┆ 308.0 ┆ 312273.0   │\n",
+       "│ N_CURRENT         ┆          ┆            ┆            ┆   ┆       ┆        ┆       ┆            │\n",
+       "│ CO2_EMISSIONS_CUR ┆ 28847961 ┆ 0          ┆ 3.819772   ┆ … ┆ 2.1   ┆ 3.2    ┆ 4.7   ┆ 4863.0     │\n",
+       "│ RENT              ┆          ┆            ┆            ┆   ┆       ┆        ┆       ┆            │\n",
+       "│ TOTAL_FLOOR_AREA  ┆ 28847959 ┆ 2          ┆ 86.904086  ┆ … ┆ 59.48 ┆ 77.0   ┆ 99.0  ┆ 530331.552 │\n",
+       "│ HEATING_COST_CURR ┆ 28840897 ┆ 7064       ┆ 708.726959 ┆ … ┆ 364.0 ┆ 571.0  ┆ 860.0 ┆ 201800.0   │\n",
+       "│ ENT               ┆          ┆            ┆            ┆   ┆       ┆        ┆       ┆            │\n",
+       "│ LIGHTING_COST_CUR ┆ 28840912 ┆ 7049       ┆ 82.130655  ┆ … ┆ 54.0  ┆ 73.0   ┆ 100.0 ┆ 3.15769e6  │\n",
+       "│ RENT              ┆          ┆            ┆            ┆   ┆       ┆        ┆       ┆            │\n",
+       "│ HOT_WATER_COST_CU ┆ 28841075 ┆ 6886       ┆ 154.051112 ┆ … ┆ 94.0  ┆ 120.0  ┆ 183.0 ┆ 66675.0    │\n",
+       "│ RRENT             ┆          ┆            ┆            ┆   ┆       ┆        ┆       ┆            │\n",
+       "│ NUMBER_HABITABLE_ ┆ 25398115 ┆ 3449846    ┆ 4.215609   ┆ … ┆ 3.0   ┆ 4.0    ┆ 5.0   ┆ 3424.0     │\n",
+       "│ ROOMS             ┆          ┆            ┆            ┆   ┆       ┆        ┆       ┆            │\n",
+       "└───────────────────┴──────────┴────────────┴────────────┴───┴───────┴────────┴───────┴────────────┘"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "numeric_cols = [\n",
+    "    \"CURRENT_ENERGY_EFFICIENCY\", \"POTENTIAL_ENERGY_EFFICIENCY\",\n",
+    "    \"ENERGY_CONSUMPTION_CURRENT\", \"CO2_EMISSIONS_CURRENT\",\n",
+    "    \"TOTAL_FLOOR_AREA\", \"HEATING_COST_CURRENT\", \"LIGHTING_COST_CURRENT\",\n",
+    "    \"HOT_WATER_COST_CURRENT\", \"NUMBER_HABITABLE_ROOMS\",\n",
+    "]\n",
+    "\n",
+    "# Compute stats lazily per column to avoid loading all at once\n",
+    "rows = []\n",
+    "for c in numeric_cols:\n",
+    "    s = (\n",
+    "        scan()\n",
+    "        .select(pl.col(c).cast(pl.Float64, strict=False))\n",
+    "        .select(\n",
+    "            pl.lit(c).alias(\"column\"),\n",
+    "            pl.col(c).count().alias(\"count\"),\n",
+    "            pl.col(c).null_count().alias(\"null_count\"),\n",
+    "            pl.col(c).mean().alias(\"mean\"),\n",
+    "            pl.col(c).std().alias(\"std\"),\n",
+    "            pl.col(c).min().alias(\"min\"),\n",
+    "            pl.col(c).quantile(0.25).alias(\"q25\"),\n",
+    "            pl.col(c).median().alias(\"median\"),\n",
+    "            pl.col(c).quantile(0.75).alias(\"q75\"),\n",
+    "            pl.col(c).max().alias(\"max\"),\n",
+    "        )\n",
+    "        .collect()\n",
+    "    )\n",
+    "    rows.append(s)\n",
+    "\n",
+    "pl.concat(rows)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}