airbnb: AirBnB Chicago 2015

In matmo/spatGeoDa: GeoDa Data for Class

Description

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

Usage

data(airbnb)

Format

A data frame with 77 rows and 20 variables

community

name of community area

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

https://geodacenter.github.io/data-and-lab//airbnb_Chicago-2015/

matmo/spatGeoDa documentation built on Sept. 25, 2020, 12:57 a.m.