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Used Vehicle Price and Deal Badge Data
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About
A collection of 1000 records detailing used car pricing and associated deal quality badges. This information was compiled through real-time web scraping from cars.com, utilising libraries such as requests, pandas, and BeautifulSoup. The primary purpose of this data is to facilitate the development of machine learning models focused on predicting used car prices and performing various data analysis projects. The deal quality is categorised by badges such as "good deal," "fair deal," or "great deal."
Columns
- Name: Identifies the make, model, and year of the specific vehicle (e.g., 2018 Toyota RAV4 XLE).
- Price($): The advertised selling price of the vehicle. Prices range broadly, starting around $3,998 and extending up to $123,000.
- Milage: The recorded distance the vehicle has travelled. Mileage values range from 596 up to 293,420.
- Review: This field records the review score associated with the car listing.
- Review_count: Indicates the total number of individuals who provided a review for the listing, with counts reaching a maximum of 25,582.
- Badge: Describes the deal rating assigned to the vehicle, such as "Good Deal" (the most common rating at 45%) or "Fair Deal."
Distribution
The data is provided in a standard CSV format and is named Used_Car_Price_Data.csv. It consists of exactly 1000 rows (records) and 6 columns. The entire dataset is relatively small, measuring 63.38 kB. All records across all fields are marked as valid, with no missing data points reported.
Usage
This data is perfectly suited for use in machine learning projects aimed at predicting used vehicle prices based on mileage, review counts, and model characteristics. It is also an excellent resource for beginners to undertake exploratory data analysis (EDA) projects and learn how to manipulate data using tools like pandas.
Coverage
The underlying information was sourced from cars.com. While the specific geographic boundaries are not explicitly defined, the pricing and vehicle models reflect characteristics of the used car market typically found in the United States. This is a static dataset, and no future updates are anticipated.
License
CC0: Public Domain
Who Can Use It
- Beginner Machine Learners: Ideal for starting out with basic predictive models due to its modest size and clean structure.
- Data Scientists: For training and evaluating price prediction algorithms.
- Automotive Market Researchers: To analyse the distribution of deal quality badges relative to pricing and vehicle statistics.
Dataset Name Suggestions
- Used Vehicle Price and Deal Badge Data
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- 1000 Used Car Price Data
Attributes
Original Data Source: Used Vehicle Price and Deal Badge Data
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