Good changes
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24 changed files with 890 additions and 312 deletions
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@ -84,7 +84,7 @@ def main():
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& pl.col("_prev_rooms").is_not_null()
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& (pl.col("NUMBER_HABITABLE_ROOMS") != pl.col("_prev_rooms"))
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)
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.then(pl.lit("Remodeling"))
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.then(pl.lit("Remodelling"))
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.when(
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pl.col("TOTAL_FLOOR_AREA").is_not_null()
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& pl.col("_prev_area").is_not_null()
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@ -21,7 +21,8 @@ _AREA_COLUMNS = [
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"Indoors Sub-domain Score",
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"Outdoors Sub-domain Score",
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# Ethnicity
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"% Asian",
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"% South Asian",
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"% East Asian",
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"% Black",
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"% Mixed",
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"% White",
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@ -49,7 +50,8 @@ _AREA_COLUMNS = [
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"Number of restaurants within 2km",
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"Number of grocery shops and supermarkets within 2km",
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"Number of parks within 2km",
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"Number of public transport stations within 2km",
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"Train or tube stations within 1km",
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"Distance to nearest train or tube station (km)",
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# Environment
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"Noise (dB)",
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"Max available download speed (Mbps)",
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@ -298,7 +300,7 @@ def _build(
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"pp_address": "Address per Property Register",
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"epc_address": "Address per EPC",
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"postcode": "Postcode",
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"duration": "Leashold/Freehold",
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"duration": "Leasehold/Freehold",
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"current_energy_rating": "Current energy rating",
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"potential_energy_rating": "Potential energy rating",
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"total_floor_area": "Total floor area (sqm)",
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@ -306,7 +308,8 @@ def _build(
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"restaurants_2km": "Number of restaurants within 2km",
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"groceries_2km": "Number of grocery shops and supermarkets within 2km",
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"parks_2km": "Number of parks within 2km",
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"public_transport_2km": "Number of public transport stations within 2km",
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"train_tube_1km": "Train or tube stations within 1km",
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"train_tube_nearest_km": "Distance to nearest train or tube station (km)",
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"latest_price": "Last known price",
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"number_habitable_rooms": "Number of bedrooms & living rooms",
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"noise_lden_db": "Noise (dB)",
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