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Data isn’t just for supporting decisions and creating actionable interfaces. Data can create nuance, giving new understandings that lead to further questioning—rather than just actionable decisions. In particular, curiosity, and creative thinking can be driven by combining different data sets and techniques to develop a narrative around a set of data sets that tells the story of a place—the emotions, history, and change embedded in the experience of the place.
In this session, we’ll see how far we can go in exploring one street in San Francisco, Haight Street, and see how well we can understand it’s geography, ebbs and flows, and behavior by combining as many data sources as possible. We’ll integrate basic public data from the city, street and mapping data from Open Street Maps, real estate and rental listings data, data from social services like Foursquare, Yelp and Instagram, and analyze photographs of streets from mapping services to create a holistic view of one street and see what we can understand from this. We’ll show how you can summarize this data numerically, textually, and visually, using a number of simple techniques.
We’ll cover how traditional data analysis tools like R and NumPy can be combined with tools more often associated with robotics like OpenCV (computer-vision) to create a more complete data set. We’ll also cover how traditional data visualization techniques can be combined with mapping and augmented reality to present a more complete picture of any place, including Haight Street.
28th February to 1st March 2012