The Cyclistic Case Study represents a comprehensive exploration into the user data of a fictional rideshare company Cyclistic. This Google Data Analysis Capstone Project aims to shed light on user behavior patterns and devise a strategic approach for converting casual users into subscribing members. Through meticulous data analysis and insightful observations this study unveils key insights that can reshape the company's operational and marketing strategies.
| row num | ride_id | started_at | ended_at | start_station_name | end_station_name | member_casual | day_of_week |
|---|---|---|---|---|---|---|---|
| 1 | C2F7DD78E82EC875 | 2022-01-13 11:59:47 | 2022-01-13 12:02:44 | Glenwood Ave & Touhy Ave | Clark St & Touhy Ave | casual | Thursday |
| 2 | A6CF8980A652D272 | 2022-01-10 08:41:56 | 2022-01-10 08:46:17 | Glenwood Ave & Touhy Ave | Clark St & Touhy Ave | casual | Monday |
The Project Description is available as ProjectDescription.pdf
The Presentation of findings for executives can be found here Cyclistic presentation.pptx
A full report on the findings is available under 2022_viz.html
The R code is accessible as 2022_viz.r
The Rmd file for the R report is here 2022_viz.Rmd