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Chicago: Cyclistic Bike-Share 2023

Lucio Colonna
Last updated: Tuesday September 10, 2024



The case study presented here is the final capstone project of the 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.


Table of Contents:


Context


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  • 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, 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


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📌 Time Scope

  • January 2023 to December 2023

📌 Data Used

📌 External Resources