bikes: Regression data of the usage of rental bikes in Washington...
In fmeffects: Model-Agnostic Interpretations with Forward Marginal Effects
bikes R Documentation
Regression data of the usage of rental bikes in Washington D.C., USA
Description
This data set contains information on daily bike sharing usage in Washington, D.C. for the years 2011-2012. The target variable is count, the total number of bikes lent out to users at a specific day.
Usage
data(bikes)
Format
An object of class data.frame with 731 rows and 10 columns.
Details
This data frame contains the following columns:
seasonSeason of the year
yearYear; 0=2011, 1=2012
holidayIf a day is a public holiday (y/n)
weekdayDay of the week
workingdayIf a day is aworking day (y/n)
weatherWeather situation
tempTemperature in degrees celsius
humidityHumidity (relative)
windspeedWindspeed in miles per hour
countTotal number of bikes lent out to users
Source
The original data can be found on the UCI database (ID = 275).
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, doi:10.1007/s13748-013-0040-3.
fmeffects documentation built on June 22, 2024, 9:32 a.m.
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| bikes | R Documentation |
Regression data of the usage of rental bikes in Washington D.C., USA
Description
This data set contains information on daily bike sharing usage in Washington, D.C. for the years 2011-2012. The target variable is count, the total number of bikes lent out to users at a specific day.
Usage
data(bikes)
Format
An object of class data.frame with 731 rows and 10 columns.
Details
This data frame contains the following columns:
seasonSeason of the year
yearYear; 0=2011, 1=2012
holidayIf a day is a public holiday (y/n)
weekdayDay of the week
workingdayIf a day is aworking day (y/n)
weatherWeather situation
tempTemperature in degrees celsius
humidityHumidity (relative)
windspeedWindspeed in miles per hour
countTotal number of bikes lent out to users
Source
The original data can be found on the UCI database (ID = 275).
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, doi:10.1007/s13748-013-0040-3.
R Package Documentation
Browse R Packages
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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