bikes_d: Bikeshare data, daily
In ooelrich/oscbvar: Stuff for Bayesian vector autoregressions

Data on bikeshare, daily version, with a bunch of covariates.

bikes_d

A data frame with 730 rows and 13 columns

cnt: Count of total rental bikes (used).
t: Time.
yr: Year.
mnth: Month.
workingday: Weekday but not a holiday.
temp: Normalized temperature in celsius (how is this in celsius...).
hum: Normalized humidity. I can't see how this is normalized.
windspeed: "Normalized" windspeed.
sandy1: Hurricane day 1.
sandy2: Hurricane day 2.
weather_1: 1: clear, few clouds, partly cloudy. Baseline is light snow, light rain and thunderstorm and scattered clouds.
weather_2: 2: mist and cloudy, mist and broken clouds.
cnt_l: Lagged cnt.