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---
title: "Divvy data exploration project"
author: "Peter Carbonetto"
output:
html_document:
toc: false
---
<br>
![Divvy bikes](divvy.jpg) <br>
*[Photo](https://www.flickr.com/photos/jamesbondsv/9041673199) by
[Steven Vance](https://www.flickr.com/photos/jamesbondsv) /
[CC BY 2.0](https://creativecommons.org/licenses/by/2.0/)*
## Project overview
The purpose of this project is to gain some insight into city-wide
biking trends by analyzing the
[Divvy trip data](https://www.divvybikes.com/system-data). Also, I
examine trip data from one bike station at the University of Chicago
to compare the biking patterns at the university against city-wide
trends.
All the results and plots presented in the pages below should be
reproduceable on your computer. Follow the
[Setup Instructions](setup.html) if you are interested in reproducing
the results for yourself.
These are the results of my analyses. They were generated by rendering
the [R Markdown documents](https://github.com/pcarbo/wflow-divvy/tree/master/analysis)
into webpages.
1. [A first glance at the Divvy data.](first-glance.html)
2. [A map of the Divvy stations in Chicago.](station-map.html)
3. [Exploring daily bike commuting trends from the Divvy
data.](time-of-day-trends.html)
4. [Exploring seasonal biking trends from the Divvy
data.](seasonal-trends.html)
## Credits
This workflowr project was developed by [Peter
Carbonetto](http://pcarbo.github.io) at the [University of
Chicago](https://www.uchicago.edu).
Thanks to [John Blischak](https://github.com/jdblischak) and
[Matthew Stephens](http://stephenslab.uchicago.edu) for their assistance and
support. Also, thanks to [Larry
Layne](https://rstudio-pubs-static.s3.amazonaws.com/63061_90f5136ffdf74740b6ba4ad8f2fd72fe.html)
and [Austin
Wehrwein](http://www.austinwehrwein.com/data-visualization/heatmaps-with-divvy-data)
for sharing their analyses of the Divvy trip data that inspired some
of the investigations here.