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Used Vehicle Valuation Data
Data Science and Analytics
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About
This dataset provides a collection of details about various cars and their features, designed for analysing factors that influence vehicle prices. The primary purpose of this dataset is to help understand which characteristics significantly affect a car's selling price, stemming from an interest in determining these price-influencing factors.
Columns
- Car_Name: The brand name of the car.
- Year: The year in which the car was sold.
- Selling_Price: The price at which the car was ultimately bought.
- Present_Price: The current market price decided for the car.
- Kms_Driven: The total number of kilometres the car has travelled.
- Fuel_Type: Specifies whether the car uses Diesel, Petrol, or another fuel type.
- Seller_Type: Indicates if the car was sold by a Dealer or an Individual.
- Transmission: Denotes the car's transmission type as Manual or Automatic.
- Owner: Represents the number of previous owners the car has had.
Distribution
The dataset is typically provided in a CSV file format. It contains 301 valid records across all listed columns, with no missing or mismatched data points.
- Car_Name: Features 98 unique car names. The most common brand name is 'city', accounting for 9% of entries, followed by 'corolla altis' at 5%.
- Year: Covers cars sold from 2003 up to 2018. The median year of sale is 2014, with 75% of cars sold by 2016.
- Selling_Price: Prices range from 0.10 to 35. The majority of cars (150 records) have a selling price between 0.10 and 3.59. The median selling price is 3.6.
- Present_Price: Current prices range from 0.32 to 92.6. Most cars (223 records) have a present price between 0.32 and 9.55. The median present price is 6.4.
- Kms_Driven: Kilometres driven range from 500 to 500,000. The median kilometres driven is 32,000, with 75% of cars having travelled up to 48,800 kilometres.
- Fuel_Type: Petrol cars constitute the majority at 79%, while Diesel cars make up 20%, and other fuel types account for 1%. There are 3 unique fuel types.
- Seller_Type: Dealers represent 65% of sellers, and Individuals account for 35%. There are 2 unique seller types.
- Transmission: Manual transmission cars are predominant at 87%, with Automatic cars making up 13%. There are 2 unique transmission types.
- Owner: The majority of cars (290 records) have 0 previous owners, indicating they are either new or first-owner vehicles in the context of the dataset. The number of previous owners ranges from 0 to 3.
Usage
This dataset is ideal for:
- Predictive Modelling: Developing models to forecast car selling prices based on their features.
- Market Analysis: Identifying key factors that influence car valuation and market trends.
- Comparative Studies: Comparing car models based on their features and corresponding prices.
Coverage
The dataset primarily focuses on the time range of cars sold between 2003 and 2018. Specific geographic or demographic scopes are not detailed in the provided information.
License
CC0: Public Domain
Who Can Use It
- Data Scientists and Analysts: For building and testing machine learning models for price prediction.
- Automotive Enthusiasts: To gain insights into car features and their impact on market value.
- Market Researchers: To understand trends and influencing factors in the used car market.
Dataset Name Suggestions
- Car Pricing Factors
- Automotive Feature Dataset
- Used Vehicle Valuation Data
- Car Sales and Features
Attributes
Original Data Source: Used Vehicle Valuation Data
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