BikeSharing: Bike Sharing Dataset (Processed)

In glmbayes: Bayesian Generalized Linear Models (IID Samples)

Bike Sharing Dataset (Processed)

Description

A processed version of the UCI Bike Sharing Dataset (hourly data). The data include derived variables for part of day, quarter, and Fourier terms for cyclic effects of hour and month.

Usage

BikeSharing

Format

A data frame with 17,379 observations and 25 variables (original plus derived):

instant

Record index.

dteday

Date.

season

Season (1: spring, 2: summer, 3: fall, 4: winter).

yr

Year (0: 2011, 1: 2012).

mnth

Month (1–12).

hr

Hour (0–23).

holiday

Whether the day is a holiday (0/1).

weekday

Day of week (0–6).

workingday

Working day (0/1).

weathersit

Weather situation (1–4).

temp

Normalized temperature.

atemp

Normalized feeling temperature.

hum

Normalized humidity.

windspeed

Normalized wind speed.

casual

Count of casual users.

registered

Count of registered users.

cnt

Total count (casual + registered).

hr_num

Hour as numeric (same as hr).

month_num

Month as integer.

part_of_day

Factor: Night (0–5h), Morning (6–11h), Afternoon (12–17h), Evening (18–23h).

quarter

Factor: Q1–Q4.

hr_sin

Sine term for 24-hour cycle.

hr_cos

Cosine term for 24-hour cycle.

mon_sin

Sine term for 12-month cycle.

mon_cos

Cosine term for 12-month cycle.

Source

UCI Machine Learning Repository: Bike Sharing Dataset. https://archive.ics.uci.edu/dataset/275/bike+sharing+dataset

Examples

############################### Start of BikeSharing dataset example ####################

data("BikeSharing")
head(BikeSharing)
dim(BikeSharing)

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## End of BikeSharing dataset example
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glmbayes documentation built on Aug. 5, 2026, 1:07 a.m.