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Kolkata Real Estate Market Insights
Data Science and Analytics
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About
Introducing an extensive dataset focused on the real estate market in Kolkata. This collection provides valuable information about property prices, area sizes, and other essential details, offering an in-depth view of the Kolkata real estate landscape. It has been meticulously curated and compiled for analytical purposes.
Columns
- Name: The descriptive name of the property, such as "4 BHK Apartment for Sale in Sugam Morya" or "2 BHK Apartment for Sale in Regent Park Kolkata".
- Area: The size of the property, measured in square feet (e.g., 850 sqft, 750 sqft).
- Furnishing: Indicates whether the property is furnished, semi-furnished, or unfurnished.
- Transaction: Details the type of transaction for the property, primarily "Resale".
- Status: Describes the current status of the property, with "Ready to Move" being a common value.
- Price: The price of the property, expressed in Indian Rupees (e.g., ₹32 Lac, ₹50 Lac).
Distribution
The dataset is provided in a CSV data file format, specifically named
real_estate_properties.csv. Its file size is 309.53 kB. The dataset contains 3000 records in total. Most columns, including 'Name', 'Area', 'Status', and 'Price', have 3000 valid entries. The 'Furnishing' column has 2623 valid entries with 377 missing records, while the 'Transaction' column has 2900 valid entries with 100 missing records.Usage
This dataset is ideal for real estate price analysis and understanding property area sizes within the Kolkata market. It can be used for market trend analysis, property valuation models, and urban development studies.
Coverage
The dataset's geographic scope is exclusively Kolkata. Information regarding the specific time range for the data collection is not available within the provided details. Similarly, no specific demographic scope or notes on data availability for certain groups are mentioned.
License
CC0: Public Domain
Who Can Use It
This dataset is well-suited for a variety of users, including:
- Real estate analysts: To identify market trends, pricing patterns, and property value determinants in Kolkata.
- Data scientists and researchers: For building predictive models for property prices or conducting academic studies on urban housing markets.
- Investors and developers: To inform decisions on property acquisitions, development projects, and market entry strategies in Kolkata.
- Individuals interested in purchasing property: To gain insights into typical prices and property characteristics in different areas of Kolkata.
Dataset Name Suggestions
- Kolkata Property Prices Dataset
- Kolkata Real Estate Market Insights
- Kolkata Housing Prices Analysis
- Kolkata Property Listings Data
Attributes
Original Data Source: Kolkata Real Estate Market Insights
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