The purpose of this project is to gain some insight into city-wide biking trends by analyzing the Divvy trip data. I also analyze the data from a Divvy bike station at the University of Chicago to compare the biking patterns at the university against city-wide trends.


This workflowr project was developed by Peter Carbonetto at the University of Chicago.

Thanks to John Blischak and Matthew Stephens for their assistance and support. Also, thanks to Larry Layne and Austin Wehrwein for sharing their analyses of the Divvy trip data that inspired some of the investigations here.

This R Markdown site was created with workflowr