bike_sharing_daily: Daily Bike Sharing Data

In timetk: A Tool Kit for Working with Time Series

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

timetk documentation built on Nov. 2, 2023, 6:18 p.m.