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Automotive Rental Insights Dataset
Stock & Market Data
Tags and Keywords
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"No reviews yet"
Free
About
This dataset provides a detailed collection of 5,851 rental cars, offering insights into the car rental industry for data-driven decisions. Collected in July 2020 for major US cities, it includes crucial information such as vehicle make, model, year, rental fare, location, and fuel type. It is a valuable resource for understanding market dynamics, identifying popular vehicles, analysing typical pricing, and exploring potential market gaps or oversaturation within the automotive rental sector. Users can also investigate the correlation of customer ratings, many of which appear close to five stars.
Columns
- fuelType: Describes the type of fuel used by the car. The most common is GASOLINE (82%), followed by ELECTRIC (11%), with other types making up 7%.
- rating: Represents the cumulative rating given to the car by customers. Ratings range from 1 to 5, with an average of 4.92. Most cars (5,149) have ratings between 4.60 and 5.00.
- renterTripsTaken: Indicates the number of trips taken for a specific car. The average number of trips is 33.5, with a maximum of 395 trips recorded.
- reviewCount: Shows the total number of reviews received for a car. The average review count is 28.5, with a maximum of 321.
- location.city: Specifies the city where the car is located. There are 971 unique cities, with Las Vegas and Portland each accounting for 3% of entries.
- location.country: Denotes the country where the car is located. All entries (100%) are within the US.
- location.latitude: Provides the latitude coordinate of the car's location. The mean latitude is 35.6, ranging from 21.3 to 64.9.
- location.longitude: Provides the longitude coordinate of the car's location. The mean longitude is -99.6, ranging from -158 to -68.8.
- location.state: Identifies the state where the car is located. There are 46 unique states, with CA (17%) and FL (14%) being the most common.
- owner.id: A unique identifier for the car's owner.
- rate.daily: The daily rental fare for the car. The average daily rate is 93.7, with a significant portion (5,234 entries) falling between 20.00 and 168.00. Rates can go up to 1500.
- vehicle.make: The make of the vehicle. There are 54 unique makes, with Tesla and Toyota each representing 10% of the dataset.
- vehicle.model: The specific model of the vehicle. There are 526 unique models, with Model 3 being the most common at 6%.
- vehicle.type: The general type of the vehicle. The most frequent type is "car" (63%), followed by "suv" (29%).
- vehicle.year: The manufacturing year of the vehicle. Years range from 1955 to 2020, with the majority of vehicles manufactured between 2013.50 and 2020.00.
Distribution
This dataset is provided in a CSV format (CarRentalData.csv). It contains 5,851 records or rows and comprises 15 distinct columns. The structure is tabular, suitable for direct analysis and database integration.
Usage
This dataset is ideally suited for:
- Market Research: Analysing car rental trends and consumer preferences in major US cities.
- Business Strategy: Identifying popular car makes and models to inform fleet management or marketing campaigns.
- Pricing Analysis: Determining typical rental fares and evaluating pricing strategies across different locations and vehicle types.
- Market Opportunity Identification: Spotting market gaps or oversaturated areas within the car rental industry.
- Customer Experience Analysis: Investigating the correlation between customer ratings and other car attributes, and assessing the credibility of site ratings.
Coverage
The dataset primarily covers major US cities, with all entries located within the United States. Key states like California (CA) and Florida (FL) are notably represented. Geographically, latitudes range from approximately 21.3 to 64.9 and longitudes from -158 to -68.8. The data was acquired in July 2020, with vehicle manufacturing years spanning a wide range from 1955 to 2020.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
- Product Managers: To inform strategic decisions and product development within the car rental sector.
- Data Analysts and Scientists: For performing statistical analysis, building predictive models, and uncovering hidden patterns in rental car data.
- Business Intelligence Professionals: To generate reports and dashboards on market performance and customer behaviour.
- Entrepreneurs and Start-ups: To explore new business ventures or refine existing services in the car rental market.
- Academic Researchers: For studies on consumer behaviour, urban transportation, and the sharing economy.
Dataset Name Suggestions
- US Car Rental Market Data 2020
- Major US Cities Car Rental Fleet
- Automotive Rental Insights Dataset
- Car Rental Performance Metrics
- Vehicle Rental Data for US Markets
Attributes
Original Data Source: Automotive Rental Insights Dataset
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