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What factors affect a vehicle's price?

Background

This project is part of the Data Scientist training program from Practicum by Yandex. More info in link below:

https://practicum.yandex.com/data-scientist

Objective

You're an analyst at Crankshaft List. Hundreds of free advertisements for vehicles are published on your site every day. You need to study data collected over the last few years and determine which factors influence the price of a vehicle.

Data Description

The dataset contains the following fields:

  • price
  • model_year
  • model
  • condition
  • cylinders
  • fuel — gas, diesel, etc.
  • odometer — the vehicle's mileage when the ad was published
  • transmission
  • paint_color
  • is_4wd — whether the vehicle has 4-wheel drive (Boolean type)
  • date_posted — the date the ad was published
  • days_listed — from publication to removal

Libraries Used

  • Pandas
  • Matplotlib.pyplot

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