Fanaee-T (2013) collected data to understand the bike sharing demands under the rental and return process. The data in total contains 17,379 observations where we consider the covariates temperature, humidity and windspeed to model the response, the number of bikes rented hourly.
Format
A data frame with 4 columns and 17,379 rows.
Rented_BikesNumber of bikes rented hourly
TemperatureHourly temperature
HumidityHourly humidity
WindspeedHourly windspeed
Source
Extracted from
Fanaee-T H (2013) Bike Sharing. UCI Machine Learning Repository.
Available at: doi:10.24432/C5W894
Examples
nrow(Bike_sharing)
#> [1] 17379