Eric Fischer takes large datasets and turns them into art. His flickr stream is a collection of fascinating time-series maps plotting data over time to draw out shapes which take on a greater meaning. Weather it’s a map of taxis in San Francisco or an overlay of flickr metadata on top of NYC, Eric’s creations are at once beautiful and informative.
Last month Eric was able to use an open-sourced version of Chrome’s language detector library to parse a week’s worth of geo-tagged tweets and identify who what tweeting in what language, where. What you see above is is the result. Note how languages such as Portuguese, Spanish, English, Dutch, Italian, Swedish, and German stick to and define the borders of their nations. Within each country, major transportation hubs are lit up like avenues. One can only imagine it is the result of people tweeting while enroute somewhere on a train or bus.