| airbnb_small {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, a subset of the airbnb data in the bayesrules package, includes the prices and features for 869 AirBnB listings in Chicago, collected in 2016.
Usage
airbnb_small
Format
A data frame with 869 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/