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Carvana Vehicle Pricing Dataset
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About
This dataset provides detailed information on 22,000 used cars sourced from carvana.com. Its primary purpose is to enable the development of predictive models for car pricing, offering insights into how factors like make, model, year, and mileage influence a vehicle's cost. It supports analysis for understanding car market dynamics.
Columns
- Name: Refers to the make and model of the car.
- Year: Indicates the year the car was manufactured.
- Miles: Represents the mileage of the car, showing how many miles it has already been driven.
- Price: The price of the car on carvana.com, stated in USD.
Distribution
The dataset contains 22,000 rows of data, collected through web scraping from the first 1000 pages of carvana.com/cars. It is provided in a CSV file format. The data includes a wide range of car years, with a notable number of vehicles from 2009 onwards, and mileage figures spanning from low mileage up to approximately 120,000 miles. Car prices in the dataset range broadly, with many values between £10,990 and £103,000. While a majority of cars fall under 'Other' models, specific counts are provided for popular models like Toyota Corolla and Hyundai Elantra.
Usage
This dataset is ideal for:
- Developing predictive models to estimate car prices based on their attributes.
- Creating natural language processing (NLP) algorithms to determine a car's price from its name (make and model).
- Investigating correlations or relationships between the year of a car and its price.
- Analysing correlations or relationships between the mileage on a car and its price.
Coverage
The data collection is described as global in region. It specifically focuses on used cars. No specific time range for data collection is provided, other than the listing date of 08/06/2025 for the dataset itself on Opendatabay.
License
CCO
Who Can Use It
- Data Scientists and Machine Learning Engineers: To build and train machine learning models for car price prediction.
- Market Analysts: For understanding pricing trends, correlations between car attributes and price, and market behaviour for used vehicles.
- Automotive Industry Professionals: To gain insights into vehicle valuation and market dynamics.
- Researchers: Studying consumer product data, especially within the automotive sector.
Dataset Name Suggestions
- Used Car Price Prediction Data
- Carvana Vehicle Pricing Dataset
- Automotive Mileage and Price Data
Attributes
Original Data Source: Carvana - Predict Car Prices
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