AirBnB Chicago 2015 — airbnb • geodaData

This database is about Airbnb spots, socioeconomic indicators, and crime by community area in Chicago.

airbnb

Format

An sf data frame with 77 rows, 20 variables, and a geometry column:

community: name of community area
shape_area: polygon area
shape_len: polygon perimeter
AREAID: ID number associated with the community area
response_r: response rate of airbnb host
accept_r: acceptance rate of airbnb host
rev_rating: host’s rating
price_pp: price per person
room_type: 1 is entire home/apartment, 2 is private room, and 3 shared room
num_spots: number of airbnb spots
poverty: percent households below poverty
crowded: percent housing crowded
dependency: percent under 18 or over 64 years old
without_hs: percent aged 25+ without high school diploma
unemployed: percent unemployed above 16 years old
income_pc: per capita income
hardship_in: hardship index
num_crimes: total number of crimes
num_theft: total number of thefts
population: community area population in 2010

Source

Multiple sources. The variables response_r, host's rating, price_pp, room_type and num_spots are obtained from http://insideairbnb.com/get-the-data.html. The remaining variables are obtainded from https://data.cityofchicago.org/Health-Human-Services/Census-Data-Selected-socioeconomic-indicators-in-C/kn9c-c2s2 and https://www.chicago.gov/content/dam/city/depts/zlup/Zoning_Main_Page/Publications/Census_2010_Community_Area_Profiles/Census_2010_and_2000_CA_Populations.pdf

Details

Sf object, unprojected. EPSG 4326: WGS84.

Examples

if (requireNamespace("sf", quietly = TRUE)) {
  library(sf)
  data(airbnb)

  plot(airbnb["price_pp"])
}