{"id":15893005,"url":"https://github.com/luciocolonna/cyclistic-bikesharing-2023","last_synced_at":"2025-04-02T17:40:39.376Z","repository":{"id":256808640,"uuid":"856571652","full_name":"LucioColonna/cyclistic-bikesharing-2023","owner":"LucioColonna","description":"Case study on public data from Chicago's Divvy bikeshare, using R","archived":false,"fork":false,"pushed_at":"2024-09-22T16:59:48.000Z","size":15407,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-08T08:14:39.535Z","etag":null,"topics":["bikesharing","capstone-project","cyclistic","cyclistic-bikshare","data-analysis","data-visualization","geojson","ggplot2","google-data-analytics","google-data-analytics-capstone-project","google-data-analytics-professional","leaflet","r","sf","tidyverse"],"latest_commit_sha":null,"homepage":"","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/LucioColonna.png","metadata":{"files":{"readme":"README.Rmd","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-09-12T20:02:21.000Z","updated_at":"2024-09-22T16:59:51.000Z","dependencies_parsed_at":"2024-10-28T02:13:03.500Z","dependency_job_id":"b011c67a-3a94-4d92-848c-7ae256bea11a","html_url":"https://github.com/LucioColonna/cyclistic-bikesharing-2023","commit_stats":null,"previous_names":["luciocolonna/cyclistic-bikesharing-2023"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LucioColonna%2Fcyclistic-bikesharing-2023","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LucioColonna%2Fcyclistic-bikesharing-2023/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LucioColonna%2Fcyclistic-bikesharing-2023/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LucioColonna%2Fcyclistic-bikesharing-2023/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/LucioColonna","download_url":"https://codeload.github.com/LucioColonna/cyclistic-bikesharing-2023/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246863564,"owners_count":20846274,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bikesharing","capstone-project","cyclistic","cyclistic-bikshare","data-analysis","data-visualization","geojson","ggplot2","google-data-analytics","google-data-analytics-capstone-project","google-data-analytics-professional","leaflet","r","sf","tidyverse"],"created_at":"2024-10-06T08:06:05.298Z","updated_at":"2025-04-02T17:40:39.358Z","avatar_url":"https://github.com/LucioColonna.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"---\ntitle: \"Chicago: Cyclistic Bike-Share 2023\"\nauthor: \"Lucio Colonna\"\ndate: \"`r paste('\u003cbr\u003eLast updated: ',format(Sys.Date(), '%A %B %d, %Y'),'')`\"\noutput: \n  github_document\n---\n\n\u003cbr\u003e\n\n\u003cbr\u003e\n\nThe case study presented here is the final capstone project of the [**Google Data Analytics**](https://www.coursera.org/professional-certificates/google-data-analytics) certification program.\u003cbr\u003e I've undertaken the entire project using **R** (perhaps a bit masochistic), but it's all part of the fun.\n\nThe journey took a bit longer than anticipated, as life had its own plans; specifically, my first child decided to join the party mid-analysis! \u003cbr\u003e Therefore, this work is **dedicated to my newborn**, who brought an extra dose of joy to the process 🚀\n\nThis case study is also available on **Kaggle** at the following [link](https://www.kaggle.com/code/lcolon/cyclistic-2023-google-da-capstone-project-r)\n\n\u003cbr\u003e\n\n# Table of Contents: {#table-of-contents}\n\n-   [Context](#context)\n-   [Timeframe and Data Overview](#timeframe-and-data-overview)\n-   [Data Preparation](Data-Preparation.md)\n-   [Data Processing](Data-Processing.md)\n-   [Data Analysis](Data-Analysis.md)\n-   [Summary of Key findings](Key-findings.md)\n-   [Recommendations for the business](Recommendations.md)\n\n\u003cbr\u003e\n\n# Context {#context}\n\n\u003cbr\u003e\n\n[⬅️ **Back to Table of contents**](#table-of-contents)\n\n\u003cbr\u003e\n\n-   **Cyclistic** is a fictional bike-share company in Chicago, offering both electric and traditional bikes *(however, the underlying data of this case study pertains to [**Divvy**](https://divvybikes.com/), a real-world bike-sharing service operating in Chicago*)\n\n\u003chr style=\"border: none; border-top: 1px solid #ccc; margin: 25px 0;\"\u003e\n\n-   The company categorizes users into 2 main groups:\n    -   **\"Casual\"** users , who buy single-rides or full-day passes\n    -   **\"Member\"** users, who purchase annual memberships\n\n\u003chr style=\"border: none; border-top: 1px solid #ccc; margin: 25px 0;\"\u003e\n\n-   Cyclistic believes that **members are more profitable** than casual riders and aims at designing marketing strategies to **convert casual riders into annual members**\n\n\u003chr style=\"border: none; border-top: 1px solid #ccc; margin: 25px 0;\"\u003e\n\n-   In order to accomplish this, the company seeks the answer to the following question, which will also serve as the **objective of the analysis**:\n\n\u003cp align=\"center\"\u003e\n\n⭐ How do \u003cstrong\u003emembers\u003c/strong\u003e and \u003cstrong\u003ecasual\u003c/strong\u003e riders use Cyclistic bikes differently? ⭐\n\n\u003c/p\u003e\n\n\u003cbr\u003e\n\n# Timeframe and Data Overview {#timeframe-and-data-overview}\n\n\u003cbr\u003e\n\n[⬅️ **Back to Table of contents**](#table-of-contents)\n\n\u003cbr\u003e\n\n[📌 \u003cstrong\u003eTime Scope\u003c/strong\u003e]{style=\"color: #0047AB;\"}\n\n-   January 2023 to December 2023\n\n\u003chr style=\"border: none; border-top: 1px solid #ccc; margin: 25px 0;\"\u003e\n\n[📌 \u003cstrong\u003eData Used\u003c/strong\u003e]{style=\"color: #0047AB;\"}\n\n-   The \u003ca href=\"https://divvy-tripdata.s3.amazonaws.com/index.html\"\u003e\u003cstrong\u003eoriginal dataset\u003c/strong\u003e\u003c/a\u003e is provided by Motivate International Inc., which operates the bicycle sharing service, and it is available under \u003ca href=\"https://divvybikes.com/data-license-agreement\"\u003e\u003cstrong\u003ethis license agreement\u003c/strong\u003e\u003c/a\u003e. It is also available \u003ca href=\"https://kaggle.com/datasets/ad7f2fc87d18cb5347535cf818f971073f3ad1076f1758bceefdca75a53ded81\"\u003e\u003cstrong\u003ehere\u003c/strong\u003e\u003c/a\u003e on Kaggle\n\n\u003chr style=\"border: none; border-top: 1px solid #ccc; margin: 25px 0;\"\u003e\n\n[📌 \u003cstrong\u003eExternal Resources\u003c/strong\u003e]{style=\"color: #0047AB;\"}\n\n-   Chicago 2023 weather data was sourced from the National Oceanic and Atmospheric Administration (NOAA) Online Weather Data, accessible on the \u003ca href=\"https://www.weather.gov/wrh/climate?wfo=lot\"\u003e\u003cstrong\u003eU.S. National Weather Service (NWS) website\u003c/strong\u003e\u003c/a\u003e \u003cem\u003e(\"2023 Monthly Avg Temperature for Chicago Area, IL\"\u003c/em\u003e and \u003cem\u003e\"2023 Monthly Mean Precipitation for Chicago Area, IL\"\u003c/em\u003e), available under \u003ca href=\"https://www.weather.gov/disclaimer/\"\u003e\u003cstrong\u003ethis license\u003c/strong\u003e\u003c/a\u003e\n-   The `.geojson` map of Chicago was obtained by the \u003ca href=\"https://data.cityofchicago.org/Facilities-Geographic-Boundaries/Boundaries-Neighborhoods/bbvz-uum9\"\u003e\u003cstrong\u003eChicago Data portal website\u003c/strong\u003e\u003c/a\u003e, and is provided under \u003ca href=\"https://www.chicago.gov/city/en/narr/foia/data_disclaimer.html\"\u003e\u003cstrong\u003ethese terms of use\u003c/strong\u003e\u003c/a\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fluciocolonna%2Fcyclistic-bikesharing-2023","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fluciocolonna%2Fcyclistic-bikesharing-2023","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fluciocolonna%2Fcyclistic-bikesharing-2023/lists"}