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House Valuation Attributes
Retail & Consumer Behavior
Tags and Keywords
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Free
About
This dataset offers detailed information for house price prediction, featuring 13 key attributes. Its primary purpose is to enable accurate price forecasting for residential properties.
Columns
- Price: The price of the house.
- Area: The total area of the house in square feet.
- Bedrooms: The number of bedrooms in the house.
- Bathrooms: The number of bathrooms in the house.
- Stories: The number of stories in the house.
- Mainroad: Indicates whether the house is connected to the main road (Yes/No).
- Guestroom: Indicates whether the house has a guest room (Yes/No).
- Basement: Indicates whether the house has a basement (Yes/No).
- Hot water heating: Indicates whether the house has a hot water heating system (Yes/No).
- Airconditioning: Indicates whether the house has an air conditioning system (Yes/No).
- Parking: The number of parking spaces available with the house.
- Prefarea: Indicates whether the house is located in a preferred area (Yes/No).
- Furnishing status: The furnishing status of the house (Fully Furnished, Semi-Furnished, Unfurnished).
Distribution
This dataset is provided in CSV format ("Housing.csv") and has a file size of approximately 29.98 kB. It consists of 545 records and includes all 13 listed columns.
Usage
This dataset is ideal for:
- House price forecasting models.
- Data visualisation projects related to real estate trends.
- Developing classification models based on property features.
- Real estate market analysis.
Coverage
The dataset does not specify geographic location, time range, or demographic scope within the provided information.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for:
- Data scientists and machine learning engineers building predictive models for property valuation.
- Real estate analysts and investors seeking insights into factors affecting house prices.
- Academics and researchers studying urban planning, economics, or housing markets.
- Anyone interested in exploratory data analysis of residential property features.
Dataset Name Suggestions
- Residential Property Pricing Data
- House Valuation Attributes
- UK Property Features Dataset
- Real Estate Price Predictor Data
Attributes
Original Data Source: House Valuation Attributes
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