This repo contains the code for my analysis on how Divvy (a bike-sharing company in Chicago) can use the differences between subscribed and non-subscribed cyclists' use of Divvy bikes to better market to non-subscribing customers and convert them to subscribers. To replicate this analysis, please run 'BikeShare_DataSetup.Rmd'. After outputting cleaned and condensed data, I then created visualizations using Google Sheets. The sheets used can be found here.
A slide presentation of my report can be found here.
Please be advised that this report was run with data from March 2023 to February 2024, was created March 28 2024, and is no longer updated. The data used came from Divvy's open data. The code used in this analysis may or may not work on future Divvy data depending on if they choose to change their format/data structure.
For any questions about this work, please email: eoreese@proton.me
Divvy Open Data (Datasets 202303 - 202402 were used).
Reese, Ethan, 2024. "Divvy Marketing Strategy Case Study" (https://github.com/e-Reese/)