bike_sharing_demand: Bike sharing demand
In sdcastillo/ExamPAData: Data Sets for Predictive Analytics Exam
bike_sharing_demand R Documentation
Bike sharing demand
Description
bike sharing demand dataset
Usage
bike_sharing_demand
Format
data.frame, 17376 observations of 10 variables:
- season
Season. 1 - winter, 2 - spring, 3 - summer, 4 - fall.
- year
Year. 0 - 2011, 1 - 2012
- hour
Hour.
- holiday
Whether the day is a holiday.
- weekday
Day of the week.
- weathersit
Weather situation. 1 - clear of partly cloudy, 2 - mist,
3 - rain or snow.
- temp
Normalized temperature in Celsius. The values are derived via
(t - t_min)/(t_max - t_min), t_min = -9, t_max = +39.
- humidity
Normalized humidity. The values are divided by 100 (max).
- windspeed
Normalized windspeed. The values are divided by 67 (max).
- bikes_per_hour
Count of rental bikes in each hour.
sdcastillo/ExamPAData documentation built on Feb. 22, 2025, 11:41 a.m.
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| bike_sharing_demand | R Documentation |
Bike sharing demand
Description
bike sharing demand dataset
Usage
bike_sharing_demand
Format
data.frame, 17376 observations of 10 variables:
- season
Season. 1 - winter, 2 - spring, 3 - summer, 4 - fall.
- year
Year. 0 - 2011, 1 - 2012
- hour
Hour.
- holiday
Whether the day is a holiday.
- weekday
Day of the week.
- weathersit
Weather situation. 1 - clear of partly cloudy, 2 - mist, 3 - rain or snow.
- temp
Normalized temperature in Celsius. The values are derived via (t - t_min)/(t_max - t_min), t_min = -9, t_max = +39.
- humidity
Normalized humidity. The values are divided by 100 (max).
- windspeed
Normalized windspeed. The values are divided by 67 (max).
- bikes_per_hour
Count of rental bikes in each hour.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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