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<h1 class="title toc-ignore">Divvy data exploration project</h1>
<h4 class="author"><em>Peter Carbonetto</em></h4>
</div>
<p><br> <img src="divvy.jpg" alt="Divvy bikes" /> <br> <em><a href="https://www.flickr.com/photos/jamesbondsv/9041673199">Photo</a> by <a href="https://www.flickr.com/photos/jamesbondsv">Steven Vance</a> / <a href="https://creativecommons.org/licenses/by/2.0/">CC BY 2.0</a></em></p>
<div id="project-overview" class="section level2">
<h2>Project overview</h2>
<p>The purpose of this project is to gain some insight into city-wide biking trends by analyzing the <a href="https://www.divvybikes.com/system-data">Divvy trip data</a>. 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.</p>
<p>All the results and plots presented in the pages below should be reproduceable on your computer. Follow the <a href="setup.html">Setup Instructions</a> if you are interested in reproducing the results for yourself.</p>
<p>These are the results of my analyses. They were generated by rendering the <a href="https://github.com/pcarbo/wflow-divvy/tree/master/analysis">R Markdown documents</a> into webpages.</p>
<ol style="list-style-type: decimal">
<li><p><a href="first-glance.html">A first glance at the Divvy data.</a></p></li>
<li><p><a href="station-map.html">A map of the Divvy stations in Chicago.</a></p></li>
<li><p><a href="time-of-day-trends.html">Exploring daily bike commuting trends from the Divvy data.</a></p></li>
<li><p><a href="seasonal-trends.html">Exploring seasonal biking trends from the Divvy data.</a></p></li>
</ol>
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<div id="credits" class="section level2">
<h2>Credits</h2>
<p>This workflowr project was developed by <a href="http://pcarbo.github.io">Peter Carbonetto</a> at the <a href="https://www.uchicago.edu">University of Chicago</a>.</p>
<p>Thanks to <a href="https://github.com/jdblischak">John Blischak</a> and <a href="http://stephenslab.uchicago.edu">Matthew Stephens</a> for their assistance and support. Also, thanks to <a href="https://rstudio-pubs-static.s3.amazonaws.com/63061_90f5136ffdf74740b6ba4ad8f2fd72fe.html">Larry Layne</a> and <a href="http://www.austinwehrwein.com/data-visualization/heatmaps-with-divvy-data">Austin Wehrwein</a> for sharing their analyses of the Divvy trip data that inspired some of the investigations here.</p>
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