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Daily Bike Sharing Data

Source: R/data-bike_sharing.R
bike_sharing_daily.Rd

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
#> # A tibble: 731 × 16
#>    instant dteday     season    yr  mnth holiday weekday workingday weathersit
#>      <dbl> <date>      <dbl> <dbl> <dbl>   <dbl>   <dbl>      <dbl>      <dbl>
#>  1       1 2011-01-01      1     0     1       0       6          0          2
#>  2       2 2011-01-02      1     0     1       0       0          0          2
#>  3       3 2011-01-03      1     0     1       0       1          1          1
#>  4       4 2011-01-04      1     0     1       0       2          1          1
#>  5       5 2011-01-05      1     0     1       0       3          1          1
#>  6       6 2011-01-06      1     0     1       0       4          1          1
#>  7       7 2011-01-07      1     0     1       0       5          1          2
#>  8       8 2011-01-08      1     0     1       0       6          0          2
#>  9       9 2011-01-09      1     0     1       0       0          0          1
#> 10      10 2011-01-10      1     0     1       0       1          1          1
#> # ℹ 721 more rows
#> # ℹ 7 more variables: temp <dbl>, atemp <dbl>, hum <dbl>, windspeed <dbl>,
#> #   casual <dbl>, registered <dbl>, cnt <dbl>