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Car Prices Dataset

Car Price Prediction (sidharth178/car-prices-dataset)   []

Context

With the rise in the variety of cars with differentiated capabilities and features such as model, production year, category, brand, fuel type, engine volume, mileage, cylinders, colour, airbags and many more, we are bringing a car price prediction challenge for all. We all aspire to own a car within budget with the best features available. To solve the price problem we have created a dataset of 19237 for the training dataset and 8245 for the test dataset.

Data Description

Train.csv - 19237 rows x 18 columns (Includes Price Columns as Target) - Attributes - ID - Price: price of the care(Target Column) - Levy - Manufacturer - Model - Prod. year - Category - Leather interior - Fuel type - Engine volume - Mileage - Cylinders - Gear box type - Drive wheels - Doors - Wheel - Color - Airbags Test.csv - 8245 rows x 17 columns

Data summary

  • File 'test.csv'

    • Table ‘test’ consists of 8245 data rows along 18 dimensions: ‘ID’, ‘Levy’, ‘Manufacturer’, ‘Model’, ‘Prod. year’, ‘Category’, ‘Leather interior’, ‘Fuel type’, ‘Engine volume’, ‘Mileage’ and eight other dimensions

  • File 'train.csv'

    • Table ‘train’ consists of 19,237 data rows along 18 dimensions: ‘ID’, ‘Price’, ‘Levy’, ‘Manufacturer’, ‘Model’, ‘Prod. year’, ‘Category’, ‘Leather interior’, ‘Fuel type’, ‘Engine volume’ and eight other dimensions

Size: 592.1 KB  Source: Kaggle  Last updated: 2022-01-28 15:35

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Creative Commons License

These analysis results by Inspirient GmbH are licensed under a Creative Commons Attribution 4.0 International License in conjunction with the licence of the source dataset.