Divvy - Because Every Bike Deserves to See the City...
Bikeshare programs are becoming popular now in many cities around the world. Not only is it a great way to get around a city, these programs also generate tons of data that complex systems scientists love to study. In this visualization, we used data from Chicago's own Divvy Bike system as part as their 2014 visualization challenge. Here, we focus on each and every individual bike, to see where it has had the chance to travel within Chicago. Click on the figure below to load the visualization. Note that you are asked how many bikes you want to include on the page and the default value is 2,887 (all of them), which takes about 10 seconds to load.
Update: We are not updating the Google API codes to visualize the maps results, and the visualization may therefore contain some errors.