Dark Mode
Car Manufacturing Specifications Dataset
Product Reviews & Feedback
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Automobile emissions and fuel consumption statistics focus on a specific selection of vehicles manufactured according to a set of factory parameters. The product contains detailed information such as cylinder size, the count of cylinders, various measures of fuel usage, and ultimately, the resulting Carbon Dioxide (CO2) emissions. The dataset was created to facilitate learning and foundational understanding of core data science concepts. The primary objective is to predict Carbon Dioxide Emission based on vehicle parameters.
Columns
- MODEL: The specific model variant of the vehicle.
- MAKE: The name of the car manufacturer.
- VEHICLE CLASS: The defined type of car, such as COMPACT or PICKUP TRUCK - STANDARD.
- ENGINE_SIZE: The maximum engine displacement, measured in cubic centimetres (cc). This value has a mean of 3.25.
- CYLINDERS: The total number of cylinders in the engine. The count ranges from 3 up to 12, with a mean of 5.8.
- TRANSMISSION: The type of gear transmission (e.g., A4, M5), with A4 being the most frequent type at 46%.
- FUEL: The classification of the fuel used, where X is the most common class at 65%.
- FUEL_CONSUMPTION*: The overall amount of fuel consumed (Mean 14.6).
- Additional Fuel Consumption: Several related columns detailing supplementary fuel usage measurements.
- CO2_EMISSIONS: The target variable, representing the amount of Carbon Dioxide emitted. Emissions range from 104 to 478, with a mean of 294.
Distribution
The data product is contained within a file named
Sample.csv, totalling 45.01 kB. The structure consists of 679 valid records across 13 columns. All included features exhibit 100% data validity, indicating zero missing or mismatched entries. The dataset's expected update frequency is listed as never.Usage
This data is ideal for teaching and practising predictive modelling. It is particularly well-suited for applications involving regression techniques, including Linear Regression and Logistic Regression. Users can explore the relationship between mechanical vehicle factors (engine size, cylinder count) and environmental output (CO2 emissions).
Coverage
The scope of the data is limited to vehicles identified by the Model year 2001. The vehicles represented include 34 unique manufacturers, with FORD and CHEVROLET being the most commonly listed makes. The classification of vehicles spans 14 unique classes, with COMPACT cars representing 21% of the data and PICKUP TRUCK - STANDARD representing 15%.
License
CC0: Public Domain
Who Can Use It
Intended users include data science students, aspiring machine learning engineers, and analysts requiring a clean, foundational dataset. It is useful for anyone looking to build and test models that predict continuous outcomes based on manufacturing specifications within the automotive sector.
Dataset Name Suggestions
- 2001 Vehicle Parameters and CO2 Emissions
- Automobile Fuel and Emissions Data for Regression
- Car Manufacturing Specifications Dataset
Attributes
Original Data Source: Car Manufacturing Specifications Dataset
QUALITYLoading...