README: airbnb dataset

This is a README file for the airbnb dataset.

Used in case studies 14A Predicting Airbnb apartment prices: selecting a regression model 16A Predicting Airbnb apartment prices with random forest

Data source

The data was collected and released by Airbnb As part or Inside Airbnb

The data is a cross-section of listed apartments for one night on compiled for 04 March 2017. You may download raw listings data HERE

Date of download for our version: 2017-03-06.

Data access and copyright

The data behind the Inside Airbnb site is sourced from publicly available information from the Airbnb site. The data has been analyzed, cleansed and aggregated where appropriate to faciliate public discussion. Creative Commons CC0 1.0 Universal (CC0 1.0) “Public Domain Dedication” license.

Datasets

Raw data tables

listings.csv observations: apartments in London, n=53,904 ID variable: id

airbnb_london_listings.csv same as listings.csv but without the techincal variables of the web listings observations: apartments in London, n=53,904 ID variable: id

Tidy data tables

airbnb_london_cleaned.csv observations: apartments in London, n=53,904 ID variable: id variables: see VARIABLES_airbnb_london_clean.xls

airbnb_london_workfile.csv observations: apartments in London, n =51 646 ID variable: ? extra variables: see VARIABLES_airbnb_london_workfile.xls

airbnb_hackney_workfile.csv observations: apartments in the Hackney borough of London, n=4,499 ID variable: ? variables: see VARIABLES_airbnb_london_workfile.xls

Filtered work data

London N= 49 826

Hackney N=4393