% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data_airbnb.R
\docType{data}
\name{airbnb}
\alias{airbnb}
\title{Chicago AirBnB Data}
\format{
A data frame with 1561 rows and 12 variables. Each row represents a single AirBnB listing.
\describe{
  \item{price}{the nightly price of the listing (in USD)}
  \item{rating}{the listing's average rating, on a scale from 1 to 5}
  \item{reviews}{number of user reviews the listing has}
  \item{room_type}{the type of listing (eg: Shared room)}
  \item{accommodates}{number of guests the listing accommodates}
  \item{bedrooms}{the number of bedrooms the listing has}
  \item{minimum_stay}{the minimum number of nights to stay in the listing}
  \item{neighborhood}{the neighborhood in which the listing is located}
  \item{district}{the broader district in which the listing is located}
  \item{walk_score}{the neighborhood's rating for walkability (0 - 100)}
  \item{transit_score}{the neighborhood's rating for access to public transit (0 - 100)}
  \item{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. \url{https://bookdown.org/roback/bookdown-bysh/}.
\url{https://github.com/proback/BeyondMLR/blob/master/data/airbnb.csv/}
}
\usage{
airbnb
}
\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.
}
\keyword{datasets}
