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Used Car Valuation Dataset
Data Science and Analytics
Tags and Keywords
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Free
About
This dataset is designed for basic regression analysis, focusing on the prediction of used car prices. It encompasses various factors known to influence a car's market value, such as brand reputation, specific features, engine horsepower, and fuel efficiency. It serves as a valuable resource for those seeking to understand and model car pricing dynamics in a machine learning context.
Columns
- Car_Name: The name or model of the car.
- Year: The manufacturing year of the car, ranging from 2003 to 2018.
- Selling_Price: The listed selling price of the car. Values typically range from 0.1 to 35 units.
- Present_Price: The current showroom price of the car. Values typically range from 0.32 to 92.6 units.
- Driven_kms: The total kilometres the car has been driven. Values range from 500 to 500,000 kilometres.
- Fuel_Type: The type of fuel the car uses, primarily Petrol, Diesel, or other types.
- Selling_type: How the car is being sold, either by a Dealer or an Individual.
- Transmission: The type of transmission, either Manual or Automatic.
- Owner: The number of previous owners the car has had, typically ranging from 0 to 3.
Distribution
This tabular dataset is provided in a CSV file format and has a size of approximately 16.91 KB. It contains 9 distinct columns and consists of 301 individual records, all of which are valid with no missing or mismatched entries identified.
Usage
This dataset is ideal for developing and training machine learning models aimed at predicting used car prices. It is particularly well-suited for basic regression prediction exercises and for individuals looking to gain practical experience in building predictive models within the automotive domain.
Coverage
The data primarily covers used cars in India, with the car models spanning manufacturing years from 2003 to 2018. The dataset does not specify any particular demographic scope.
License
CC0: Public Domain
Who Can Use It
This dataset is intended for beginner machine learning practitioners and researchers interested in automotive data analysis. It provides a practical foundation for those learning how to train car price prediction models and explore regression techniques.
Dataset Name Suggestions
- Used Car Price Prediction Dataset India
- Indian Automobile Price Data
- Car Sales Price Regression
- Vehicle Pricing Model Data
- Used Car Valuation Dataset
Attributes
Original Data Source: Used Car Valuation Dataset
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