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https://github.com/luciocolonna/cyclistic-bikesharing-2023

Case study on public data from Chicago's Divvy bikeshare, using R
https://github.com/luciocolonna/cyclistic-bikesharing-2023

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

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Case study on public data from Chicago's Divvy bikeshare, using R

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README 

        
---

title: "Chicago: Cyclistic Bike-Share 2023"

author: "Lucio Colonna"

date: "`r paste('
Last updated: ',format(Sys.Date(), '%A %B %d, %Y'),'')`"

output: 

  github_document

---











The 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.
 I've undertaken the entire project using **R** (perhaps a bit masochistic), but it's all part of the fun.



The journey took a bit longer than anticipated, as life had its own plans; specifically, my first child decided to join the party mid-analysis! 
 Therefore, this work is **dedicated to my newborn**, who brought an extra dose of joy to the process 🚀



This case study is also available on **Kaggle** at the following [link](https://www.kaggle.com/code/lcolon/cyclistic-2023-google-da-capstone-project-r)







# Table of Contents: {#table-of-contents}



-   [Context](#context)

-   [Timeframe and Data Overview](#timeframe-and-data-overview)

-   [Data Preparation](Data-Preparation.md)

-   [Data Processing](Data-Processing.md)

-   [Data Analysis](Data-Analysis.md)

-   [Summary of Key findings](Key-findings.md)

-   [Recommendations for the business](Recommendations.md)







# Context {#context}







[⬅️ **Back to Table of contents**](#table-of-contents)







-   **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*)






-   The company categorizes users into 2 main groups:

    -   **"Casual"** users , who buy single-rides or full-day passes

    -   **"Member"** users, who purchase annual memberships






-   Cyclistic believes that **members are more profitable** than casual riders and aims at designing marketing strategies to **convert casual riders into annual members**






-   In order to accomplish this, the company seeks the answer to the following question, which will also serve as the **objective of the analysis**:






⭐ How do members and casual riders use Cyclistic bikes differently? ⭐










# Timeframe and Data Overview {#timeframe-and-data-overview}







[⬅️ **Back to Table of contents**](#table-of-contents)







[📌 Time Scope]{style="color: #0047AB;"}



-   January 2023 to December 2023






[📌 Data Used]{style="color: #0047AB;"}



-   The original dataset is provided by Motivate International Inc., which operates the bicycle sharing service, and it is available under this license agreement. It is also available here on Kaggle






[📌 External Resources]{style="color: #0047AB;"}



-   Chicago 2023 weather data was sourced from the National Oceanic and Atmospheric Administration (NOAA) Online Weather Data, accessible on the U.S. National Weather Service (NWS) website ("2023 Monthly Avg Temperature for Chicago Area, IL" and "2023 Monthly Mean Precipitation for Chicago Area, IL"), available under this license

-   The `.geojson` map of Chicago was obtained by the Chicago Data portal website, and is provided under these terms of use