The aim of this project is to clean the data and analyze the included used car listings.
The data dictionary provided with the 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 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 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.
pandas
numpy