R: Daily Bike Sharing Data

bike_sharing_daily {timetk} | R Documentation

## Daily Bike Sharing Data

### Description

This dataset contains the daily count of rental bike transactions between years 2011 and 2012 in Capital bikeshare system with the corresponding weather and seasonal information.

### Usage

    bike_sharing_daily

### Format

A tibble: 731 x 16

- instant: record index

- dteday : date

- season : season (1:winter, 2:spring, 3:summer, 4:fall)

- yr : year (0: 2011, 1:2012)

- mnth : month ( 1 to 12)

- hr : hour (0 to 23)

- holiday : weather day is holiday or not

- weekday : day of the week

- workingday : if day is neither weekend nor holiday is 1, otherwise is 0.

- weathersit :

  - 1: Clear, Few clouds, Partly cloudy, Partly cloudy

  - 2: Mist + Cloudy, Mist + Broken clouds, Mist + Few clouds, Mist

  - 3: Light Snow, Light Rain + Thunderstorm + Scattered clouds, Light Rain + Scattered clouds

  - 4: Heavy Rain + Ice Pallets + Thunderstorm + Mist, Snow + Fog

- temp : Normalized temperature in Celsius. The values are derived via (t-t_min)/(t_max-t_min), t_min=-8, t_max=+39 (only in hourly scale)

- atemp: Normalized feeling temperature in Celsius. The values are derived via (t-t_min)/(t_max-t_min), t_min=-16, t_max=+50 (only in hourly scale)

- hum: Normalized humidity. The values are divided to 100 (max)

- windspeed: Normalized wind speed. The values are divided to 67 (max)

- casual: count of casual users

- registered: count of registered users

- cnt: count of total rental bikes including both casual and registered

### References

Fanaee-T, Hadi, and Gama, Joao, 'Event labeling combining ensemble detectors and background knowledge', Progress in Artificial Intelligence (2013): pp. 1-15, Springer Berlin Heidelberg.

### Examples

    bike_sharing_daily

[Package timetk version 2.0.0 Index]