In response to the previous post (Puzzled Pint surveys and metrics), someone had suggested building a heat map. I built a fairly primitive one with Google Earth and a short Ruby script. The radius of each circle is proportional to the number of attendees. The height is random-ish and only varies to help distinguish overlapping circles.
https://netninja.com/fun/ppheatmap/ppint.kml
It’s hard to really to pull any great conclusions from the 25 data points. Most importantly, I don’t know of a way to normalize for our growth over time or how factor in the seasonal attendance flux. In an ideal data set, those could be factored in and we’d track strictly attendence-for-location without also tracking attendance-for-{other variable}. Still, it’s a nice looking chart and I learned a thing or two about KML.