During my first quarter at Datascope Analytics, the City of Chicago opened their Data Portal with lots of civic information, and started the Apps for Metro Chicago (A4MC) competition to encourage developers to make use of that data. To learn the Python/Django/jQuery/HTML stack that Datascope was using at the time, I built inThirty and entered it.
InThirty is an interactive web app that arose out of the concept of "neighborhood shopping" - looking for where to live in a city based on an area's accessibility to certain amenities. Rather than simply focusing on the amenities available in a neighborhood, we chose to focus on the amenities (in this case, parks and libraries from the city's database) one could reach in 30 minutes (hence the name) by any means necessary- transit, walking, or biking. We displayed this information in neighborhood heatmaps and also allowed users to input any address in the Chicago area to see the specific metrics for that location.
InThirty took 3rd place in the Transportation round of A4MC. You can read more about the process of developing inThirty in the Datascope blog post, and see what Nathan Yau had to say about it in the FlowingData blog post.