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Surat Residential Flats Recommender Data
Data Science and Analytics
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About
This collection captures detailed residential property listings currently available for sale within the Indian city of Surat. Originally sourced from MagicBricks listings, the data encompasses a variety of features relevant to property attributes and sales transactions. It is designed to be highly valuable for educational use and is specifically structured to support the development and training of flat recommendation systems.
Columns
- property_name: Details the specific type and general location of the property, such as "3 BHK Apartment for Sale in Vesu Surat."
- areaWithType: Identifies how the property size is defined, often reflecting options like "Super Area" (57% most common) or "Carpet Area."
- square_feet: Indicates the size of the property numerically in square feet.
- transaction: Describes the nature of the sale, commonly "Resale" (49% most common) or "New Property."
- status: Provides information about the availability timeline, frequently recorded as "Ready to Move" (68% most common) or scheduled possession dates.
- floor: Specifies the floor level on which the property is situated.
- furnishing: States the extent of furnishings, with "Unfurnished" being the most frequent category (51%).
- facing: Indicates the directional orientation of the property, such as "East."
- description: A textual summary intended to highlight key amenities and features of the listing.
- price_per_sqft: The specified cost per square foot, generally in Indian Rupees (₹).
- price: The total listing price of the property.
Distribution
The dataset is available as a CSV file named
surat_uncleaned.csv, with a size of approximately 1.33 MB. The structure consists of 11 distinct columns. Based on the property listing records, the dataset contains 4,525 valid entries. The data is static, with an expected update frequency stated as 'Never'.Usage
This data product is ideally suited for tasks involving predictive modeling, particularly regression analysis aimed at forecasting property prices per square foot or overall listing value. Its primary utility lies in developing sophisticated recommender systems designed to match users with suitable residential properties in Surat. It is also beneficial for academic study and data science education.
Coverage
The geographical scope is strictly limited to residential flats available within the Surat municipal area. The dataset pertains to property characteristics relevant at the time of the scrape. It details residential property types such as apartments and flats; specific demographic data for buyers or sellers is not included.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: For applying regression techniques to property valuation and market analysis.
- Machine Learning Engineers: To train and evaluate algorithms for flat recommendation engines.
- Students and Academics: For educational projects focused on Indian housing markets and real estate data modelling.
Dataset Name Suggestions
- Surat Residential Flats Recommender Data
- Surat Property Market Listings
- Gujarat Flat Sale Data
- Surat Real Estate Uncleaned
Attributes
Original Data Source: Surat Residential Flats Recommender Data
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