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Car Price Prediction Dataset
Stock & Market Data
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Free
About
This dataset is designed to provide valuable insights into factors influencing car prices. It contains various features related to cars, enabling the development of predictive models for estimating car selling prices. The data can reveal trends and patterns in the automotive market.
Columns
- name: The name of the car, e.g., Maruti Swift Dzire VDI.
- year: The year the car was manufactured.
- selling_price: The price at which the car is sold, in local currency.
- km_driven: The total kilometres the car has travelled.
- fuel: The type of fuel the car uses (e.g., Diesel, Petrol).
- seller_type: The category of the seller (e.g., Individual, Dealer).
- transmission: The car's transmission type (e.g., Manual, Automatic).
- owner: The number of previous owners the car has had.
- mileage(km/ltr/kg): The fuel efficiency or mileage of the car.
- engine: The specifications of the car's engine.
- max_power: The maximum power output of the car.
- seats: The number of seats available in the car.
Distribution
The dataset is provided as a CSV file (cardekho.csv) and is approximately 832.58 KB in size. It contains 8,128 valid records across 12 columns. Some columns, such as mileage, engine, max_power, and seats, have a small percentage of missing values (approximately 3%).
Usage
This dataset is ideally suited for:
- Developing machine learning models to predict car selling prices.
- Analysing market trends in the used car sector.
- Understanding the key factors that influence vehicle valuation.
- Comparative analysis of different car attributes and their impact on price.
Coverage
The dataset covers cars manufactured between the years 1983 and 2020. There is no specific geographic or demographic scope mentioned in the provided information.
License
CC0: Public Domain
Who Can Use It
- Data Scientists and Machine Learning Engineers: For building and testing car price prediction models.
- Automotive Market Analysts: To identify market trends, pricing strategies, and supply-demand dynamics.
- Businesses involved in car sales or valuation: For informed decision-making and automated pricing tools.
- Researchers: Studying the economics of used car markets and factors affecting depreciation.
Dataset Name Suggestions
- Car Price Prediction Dataset
- Used Car Market Data
- Vehicle Pricing Factors
- Automotive Sales Insights
Attributes
Original Data Source: Car Price Prediction Dataset
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