| airbnb {bayesrules} | R Documentation |
Chicago AirBnB Data
Description
The AirBnB data was collated by Trinh and Ameri as part of a course project at St Olaf College, and distributed with "Broadening Your Statistical Horizons" by Legler and Roback. This data set includes the prices and features for 1561 AirBnB listings in Chicago, collected in 2016.
Usage
airbnb
Format
A data frame with 1561 rows and 12 variables. Each row represents a single AirBnB listing.
- price
the nightly price of the listing (in USD)
- rating
the listing's average rating, on a scale from 1 to 5
- reviews
number of user reviews the listing has
- room_type
the type of listing (eg: Shared room)
- accommodates
number of guests the listing accommodates
- bedrooms
the number of bedrooms the listing has
- minimum_stay
the minimum number of nights to stay in the listing
- neighborhood
the neighborhood in which the listing is located
- district
the broader district in which the listing is located
- walk_score
the neighborhood's rating for walkability (0 - 100)
- transit_score
the neighborhood's rating for access to public transit (0 - 100)
- bike_score
the neighborhood's rating for bikeability (0 - 100)
Source
Ly Trinh and Pony Ameri (2018). Airbnb Price Determinants: A Multilevel Modeling Approach. Project for Statistics 316-Advanced Statistical Modeling, St. Olaf College. Julie Legler and Paul Roback (2019). Broadening Your Statistical Horizons: Generalized Linear Models and Multilevel Models. https://bookdown.org/roback/bookdown-bysh/. https://github.com/proback/BeyondMLR/blob/master/data/airbnb.csv/