Skip to content

This project analyzes a used cars dataset to uncover trends and insights related to the behavior & preference of buyers using Python and data visualization libraries. Check out our Jupyter Notebook for a detailed look at my analysis.

Notifications You must be signed in to change notification settings

Vimal1893/-EDA_on_used_cars_dataset

Repository files navigation

EDA on Used Cars Dataset

The dataset includes information of sales of different car models with features like brand name, price, body, mileage, engV, engType and drive type etc.

enter image description here

Dataset Info

  • There are a total of 9576 samples (rows) and 10 columns in the movies data.
  • There are 4 numerical features and 6 categorical features.
Id Columns Descriptions
01 car Car brand name
02 model Available car different Variants
03 year purchasing Year
04 body Body type-Hatchback, Sedan, Crossover etc
05 mileage car Mileage
06 engV Engine version
07 engType Car Fuel type - Petrol, Diesel, gas etc
08 drive Wheel Drive Front, back
09 registration Check if the vechile is registered
10 price Price of Car in $

enter image description here

Appreciate your feedbacks & suggestions.

enter image description here

You can check the link here

⭐ 🔥 ⭐

About

This project analyzes a used cars dataset to uncover trends and insights related to the behavior & preference of buyers using Python and data visualization libraries. Check out our Jupyter Notebook for a detailed look at my analysis.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published