Baselight

Housing Price Prediction

A Comprehensive Dataset for Price Forecasting with 13 key Features.

@kaggle.harishkumardatalab_housing_price_prediction

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About this Dataset

Housing Price Prediction

This dataset provides comprehensive information for house price prediction, with 13 column names:

  1. Price: The price of the house.
  2. Area: The total area of the house in square feet.
  3. Bedrooms: The number of bedrooms in the house.
  4. Bathrooms: The number of bathrooms in the house.
  5. Stories: The number of stories in the house.
  6. Mainroad: Whether the house is connected to the main road (Yes/No).
  7. Guestroom: Whether the house has a guest room (Yes/No).
  8. Basement: Whether the house has a basement (Yes/No).
  9. Hot water heating: Whether the house has a hot water heating system (Yes/No).
  10. Airconditioning: Whether the house has an air conditioning system (Yes/No).
  11. Parking: The number of parking spaces available within the house.
  12. Prefarea: Whether the house is located in a preferred area (Yes/No).
  13. Furnishing status: The furnishing status of the house (Fully Furnished, Semi-Furnished, Unfurnished).

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Tables

Housing

@kaggle.harishkumardatalab_housing_price_prediction.housing
  • 13.46 KB
  • 545 rows
  • 13 columns
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CREATE TABLE housing (
  "price" BIGINT,
  "area" BIGINT,
  "bedrooms" BIGINT,
  "bathrooms" BIGINT,
  "stories" BIGINT,
  "mainroad" VARCHAR,
  "guestroom" VARCHAR,
  "basement" VARCHAR,
  "hotwaterheating" VARCHAR,
  "airconditioning" VARCHAR,
  "parking" BIGINT,
  "prefarea" VARCHAR,
  "furnishingstatus" VARCHAR
);

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