DIVVY Bike Share Program (http://divvybikes.com/about) sent out a cattle call for beautiful and informative data visualizations from their actual rider and bike databases. (http://divvybikes.com/datachallenge)
In my quick response, I took a look at the very basic output from the data with no reshaping or modelling. Even this basic report ended up being pretty interesting. For one, I love Chicago (have been there a few times as a Tableau Trainer).
Secondly, it’s interesting how the majority of bikes move in and out of the downtown area, similar to a lung taking one day-long breath. Click through the hours timeline to see what I’m talking about.
There is definitely some rich data here to explore in the future. For now, here is the first glance. Click on the image below to interact.