Analysis and Prediction of Bicycle Rental Amount R package tashu version 0.1.1 Provides functions for analyzing citizens' bicycle usage pattern and predicting rental amount on specific conditions. Functions on this package interacts with data on 'tashudata' package, a 'drat' repository. 'tashudata' package contains rental/return history on public bicycle system('Tashu'), weather for 3 years and bicycle station information. To install this data package, see the instructions at <https://github.com/zeee1/Tashu_Rpackage>. top10_stations(), top10_paths() function visualizes image showing the most used top 10 stations and paths. daily_bike_rental() and monthly_bike_rental() shows daily, monthly amount of bicycle rental. create_train_dataset(), create_test_dataset() is data processing function for prediction. Bicycle rental history from 2013 to 2014 is used to create training dataset and that on 2015 is for test dataset. Users can make random-forest prediction model by using create_train_model() and predict amount of bicycle rental in 2015 by using predict_bike_rental(). Software Depends: R (>= 3.5.0) Imports: ggplot2, lubridate, dplyr, randomForest, plyr, reshape2, RColorBrewer, drat Suggests: knitr, rmarkdown, tashudata Jiwon Min <miw5281@gmail.com> Comprehensive R Archive Network (CRAN) Jiwon Min [aut, cre] GPL (>= 2) 2021-01-13 application/tgz https://CRAN.R-project.org/package=tashu doi:10.32614/CRAN.package.tashu