Dark Mode
Chennai Housing Market Prediction Data
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Information relating to house prices situated across Chennai, India. The data is suitable for predictive modelling, particularly for Machine Learning applications, where the price variable is the primary target. It offers insight for individuals seeking to estimate the necessary expenditure for purchasing a property in Chennai, considering various features and builders. The expected update frequency for this material is annually.
Columns
The dataset contains 8 columns detailing various factors that influence property valuation:
- price: The target variable, representing the house price quoted in Lakhs (INR). Values range from 12.8 Lakhs up to 1422 Lakhs.
- area: The size of the property, measured in square feet (sqft). Values range from 300 sqft to 6700 sqft.
- status: Indicates whether the property is 'Under Construction' or 'Ready to move'. The majority of listings are 'Ready to move' (57%).
- bhk: The number of bedrooms in the property. This ranges from 1 to 8.
- bathroom: The number of bathrooms available. This ranges from 1 to 7. Note that 46% of records in this column are missing.
- age: Reflects how old the house is, ranging from 0 to 32 years. Note that 34% of records in this column are missing.
- location: The specific geographical location in which the house is situated. There are 178 unique locations, with Veppampattu being the most frequently listed (6%).
- builder: Details the developer who built the property. There are 135 unique builders, with 'seller' being the most common classification.
Distribution
The data consists of 2,620 records and 8 features. The file is structured as a tabular dataset, typically supplied in CSV format (
clean_data.csv), with a size of approximately 155.71 kB.Usage
This resource is ideal for building and testing Machine Learning models, such as Linear Regression, focused on house price prediction. It can also be applied to regional real estate market analysis, enabling users to understand how factors like area, age, and location drive property valuations in the Chennai metropolitan area.
Coverage
The geographic coverage is focused exclusively on residential properties located within Chennai, India. The temporal coverage is specific to the point of data extraction, which occurred on 2nd October 2021. The features reflecting bathroom count and property age have noticeable gaps, featuring a high percentage of missing values.
License
CC0: Public Domain
Who Can Use It
- Data Scientists and Machine Learning Beginners: For developing and practising introductory predictive models.
- Real Estate Analysts: For identifying market trends, supply/demand dynamics, and location-specific value drivers.
- Prospective Homeowners: To gain an estimate of potential property costs in Chennai based on specific features like area and builder.
Dataset Name Suggestions
- Chennai Residential Property Values
- Real Estate Prices in Chennai (2021)
- Chennai Housing Market Prediction Data
Attributes
Original Data Source: Chennai Housing Market Prediction Data
QUALITYLoading...