R/data_bike_users.R
bike_users.Rd
Data on ridership among registered members and casual users of the Capital Bikeshare service in Washington, D.C..
bike_users
A data frame with 534 daily observations, 267 each for registered riders and casual riders, and 13 variables:
date of observation
fall, spring, summer, or winter
the year of the date
the month of the date
the day of the week
whether or not the date falls on a weekend (TRUE or FALSE)
whether or not the date falls on a holiday (yes or no)
raw temperature (degrees Fahrenheit)
what the temperature feels like (degrees Fahrenheit)
humidity level (percentage)
wind speed (miles per hour)
weather category (categ1 = pleasant, categ2 = moderate, categ3 = severe)
rider type (casual or registered)
number of bikeshare rides
Fanaee-T, Hadi and Gama, Joao (2013). Event labeling combining ensemble detectors and background knowledge. Progress in Artificial Intelligence. https://archive.ics.uci.edu/ml/datasets/Bike+Sharing+Dataset/