India Used Vehicle Market Data

Columns

• full_name: The complete name of the car, including its model (e.g., 2016 Hyundai Grand i10 Sportz). There are 6,923 unique car models recorded.
• resale_price: The resale price of the car in Indian Rupees (₹). This column has 1,738 unique price points.
• registered_year: The year the car was originally registered. This column contains 243 unique years, with 69 entries missing.
• engine_capacity: The engine displacement of the car, measured in cubic centimetres (cc). There are 156 unique capacities, with 14 entries missing.
• insurance: The type of insurance associated with the car, if any (e.g., Third Party insurance, . This column has 7 unique types, with 7 entries missing.
• transmission_type: Specifies the car's transmission type (e.g., Manual, Automatic). Manual transmission accounts for 72% of entries, while Automatic accounts for 28%.
• kms_driven: The total kilometres the car has been driven for. There are 8,285 unique mileage values, with 3 entries missing.
• owner_type: Indicates the number of previous owners of the car (e.g., First Owner, Second Owner). 'First Owner' constitutes 70% of entries, and 'Second Owner' 24%. There are 45 entries missing.
• fuel_type: The type of fuel the car uses (e.g., Petrol, Diesel). Petrol cars make up 65% of entries, and Diesel cars 32%.
• max_power: The maximum power output of the car, in brake horsepower (bhp). This column has 609 unique values, with 102 entries missing.
• seats: The number of seats available in the car. This column has 10 entries missing.
• mileage: The fuel efficiency of the car (e.g., kmpl). There are 587 unique mileage figures, with 508 entries missing.
• body_type: The body configuration of the car (e.g., Hatchback, Sedan). Hatchbacks account for 42% of entries, and Sedans 27%.
• city: The city in India where the car is being sold (e.g., Delhi, Bangalore). There are 13 unique cities, with Delhi and Bangalore being the most frequent.

Distribution

Usage

• Exploratory Data Analysis (EDA): Understanding market trends and relationships between car attributes and resale prices.
• Data Cleaning and Pre-processing: Providing a realistic scenario for practising data cleaning techniques due to its raw and unclean format with missing values.
• Regression Analysis: Building predictive models to estimate car resale prices based on various features.
• Market Research: Analysing the Indian used car market, identifying popular models, fuel types, and regional price variations.
• Educational Purposes: Offering students and practitioners a valuable resource for hands-on data science projects.

Coverage

• Geographic Scope: The dataset covers car resale prices from cities across India, with significant representation from major urban centres like Delhi and Bangalore.
• Time Range: The data is updated as of August 2023, providing a recent snapshot of the Indian used car market. The dataset includes cars registered in various years.
• Update Frequency: This dataset is expected to be updated annually.
• Data Availability Notes: The dataset is intentionally provided in a raw format, including some missing values in columns such as registered_year, engine_capacity, insurance, kms_driven, owner_type, max_power, seats, and mileage. Users should expect to perform data imputation or handling of these missing elements.

License

Who Can Use It

• Data Scientists and Analysts: For developing predictive models, performing market segmentation, and conducting in-depth analyses of the Indian automotive sector.
• Students and Researchers: Ideal for academic projects, learning real-world data handling, and practising various data science methodologies including EDA, feature engineering, and regression.
• Automotive Industry Professionals: Gaining insights into resale values, market demand, and pricing strategies in different Indian cities.
• Developers: Creating applications that predict car values or analyse market trends.

Dataset Name Suggestions

• Indian Car Resale Prices 2023
• India Used Vehicle Market Data
• Automobile Resale Values India
• Indian Second-Hand Car Data
• Car Market Trends India

Attributes