We will be working on a dataset of used cars from eBay Kleinanzeigen, a classifieds section of the German eBay website.

The dataset was originally scraped and uploaded to Kaggle. The version of the dataset we are working with is a sample of 50,000 data points that was prepared by Dataquest including simulating a less-cleaned version of the data.

The data dictionary provided with data is as follows:

dateCrawled - When this ad was first crawled. All field-values are taken from this date.

name - Name of the car.

seller - Whether the seller is private or a dealer.

offerType - The type of listing

price - The price on the ad to sell the car.

abtest - Whether the listing is included in an A/B test.

vehicleType - The vehicle Type.

yearOfRegistration - The year in which which year the car was first registered.

gearbox - The transmission type.

powerPS - The power of the car in PS.

model - The car model name.

kilometer - How many kilometers the car has driven.

monthOfRegistration - The month in which which year the car was first registered.

fuelType - What type of fuel the car uses.

brand - The brand of the car.

notRepairedDamage - If the car has a damage which is not yet repaired.

dateCreated - The date on which the eBay listing was created.

nrOfPictures - The number of pictures in the ad.

postalCode - The postal code for the location of the vehicle.

lastSeenOnline - When the crawler saw this ad last online.

The aim of this project is to clean the data and analyze the included used car listings.