bike_share: Bike share
In speegled/tswrdata: Data for use with the book, Time Series with R, by Darrin Speegle.
Description
Usage
Details
Source
Description
Number of bike share rides by hour.
Usage
1
Details
From the authors: Bike-sharing rental process is highly correlated to the environmental and seasonal settings. For instance, weather conditions,
precipitation, day of week, season, hour of the day, etc. can affect the rental behaviors. The core data set is related to
the two-year historical log corresponding to years 2011 and 2012 from Capital Bikeshare system, Washington D.C., USA which is
publicly available in http://capitalbikeshare.com/system-data.
Source
UCI Machine Learning Repository: http://archive.ics.uci.edu/ml/datasets/Bike+Sharing+Dataset#
speegled/tswrdata documentation built on May 5, 2021, 11:55 a.m.
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Description Usage Details Source
Description
Number of bike share rides by hour.
Usage
1 |
Details
From the authors: Bike-sharing rental process is highly correlated to the environmental and seasonal settings. For instance, weather conditions, precipitation, day of week, season, hour of the day, etc. can affect the rental behaviors. The core data set is related to the two-year historical log corresponding to years 2011 and 2012 from Capital Bikeshare system, Washington D.C., USA which is publicly available in http://capitalbikeshare.com/system-data.
Source
UCI Machine Learning Repository: http://archive.ics.uci.edu/ml/datasets/Bike+Sharing+Dataset#
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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