| bike_users {bayesrules} | R Documentation |
Capital Bikeshare Bike Ridership (Registered and Casual Riders)
Description
Data on ridership among registered members and casual users of the Capital Bikeshare service in Washington, D.C..
Usage
bike_users
Format
A data frame with 534 daily observations, 267 each for registered riders and casual riders, and 13 variables:
- date
date of observation
- season
fall, spring, summer, or winter
- year
the year of the date
- month
the month of the date
- day_of_week
the day of the week
- weekend
whether or not the date falls on a weekend (TRUE or FALSE)
- holiday
whether or not the date falls on a holiday (yes or no)
- temp_actual
raw temperature (degrees Fahrenheit)
- temp_feel
what the temperature feels like (degrees Fahrenheit)
- humidity
humidity level (percentage)
- windspeed
wind speed (miles per hour)
- weather_cat
weather category (categ1 = pleasant, categ2 = moderate, categ3 = severe)
- user
rider type (casual or registered)
- rides
number of bikeshare rides
Source
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/