Cyclistic Case Study in R - danieljamesdavis/Portfolio GitHub Wiki
This was the final project from the Google Data Analyst Certification course on Coursera. The data is every trip a customer took on a city bike rental via the faked company "Cyclistic", anonymized.
The task was to find trends in the data so that the marketing department at Cyclistic could target casual Cyclistic riders with offerings that would have them sign up to annual memberships, and was left fairly open-ended for how to approach the task.
Due to the size of the data, it is not contained in this repo. Even selecting down to the most recent year of data, it is still 6.7 million rows. If you would like to download the data to work with it yourself, please find the link to the AWS bucket further down.
I performed all computation in RStudio locally on my machine, while I organized the markdown in Jupyter Notebook. The HTML output is from RStudio using knitr.
NOTE: You must use the link for the html file below for the simplest viewing experience. Else, you'll have to open the raw code in the Repo, use "Save Page As...", save to your machine, and then open it with your viewer of choice.
Project files in this Repo: