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  "Title": "Analysis and Prediction of Bicycle Rental Amount",
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  "Description": "Provides functions for analyzing citizens' bicycle usage\npattern and predicting rental amount on specific conditions.\nFunctions on this package interacts with data on 'tashudata'\npackage, a 'drat' repository. 'tashudata' package contains\nrental/return history on public bicycle system('Tashu'),\nweather for 3 years and bicycle station information. To install\nthis data package, see the instructions at\n<https://github.com/zeee1/Tashu_Rpackage>. top10_stations(),\ntop10_paths() function visualizes image showing the most used\ntop 10 stations and paths. daily_bike_rental() and\nmonthly_bike_rental() shows daily, monthly amount of bicycle\nrental. create_train_dataset(), create_test_dataset() is data\nprocessing function for prediction. Bicycle rental history from\n2013 to 2014 is used to create training dataset and that on\n2015 is for test dataset. Users can make random-forest\nprediction model by using create_train_model() and predict\namount of bicycle rental in 2015 by using\npredict_bike_rental().",
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  "Date/Publication": "2021-01-13 08:50:02 UTC",
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      "title": "Create training dataset on specific station for prediction",
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      "title": "Create training dataset on specific station for prediction",
      "topics": [
        "create_train_dataset"
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      "title": "Visualize the change of bicycle rental amount by temperature and each month.",
      "topics": [
        "monthly_bicycle_rental"
      ]
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    {
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