edibnb | R Documentation |
Recent developments in Edinburgh regarding the growth of Airbnb and its impact on the housing market means a better understanding of the Airbnb listings is needed. Using data provided by Airbnb, we can explore how Airbnb availability and prices vary by neighborhood.
edibnb
A tibble with 13,245 rows and 10 variables:
ID number of the listing
Price, in GBP, for one night stay
neighborhood listing is located in
Number of people listing accommodates
Number of bathrooms
Number of bedrooms
Number of beds (which can be different than the number of bedrooms)
Average rating of property
Number of reviews
Listing URL
The data come from the Kaggle database, and was originally distributed by Inside Airbnb on 25 June 2019.
The data has been modified to better serve the goals of introductory data science education.
https://www.kaggle.com/thoroc/edinburgh-inside-airbnb/version/2
library(ggplot2)
ggplot(edibnb, aes(x = price)) +
geom_histogram(binwidth = 50)
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