3. How do I make sense of it? I started with a small subset of my data (the public transportation system) Build a heatmap.
4. *insert nerdy things here* Export of data varies a lot and often incomplete. Streetnames to lat/long with Google API. Build upon Google’s architecture (GAE) & Python. Crappy coding, slow & inefficient. Results: 1000 total stations so far (03/2011) 77 different ones Bus/train stations Geo-coordinates? predictability/patterns/usage why?
10. General thoughtsabout QS-systems Near perfect memory with tracking systems. Humans are bound to break the rules, even if they are set by a system of their own. Getting to your data is becoming easier Casting and remodeling of data is hard Extracting knowledge is difficult