Location and Activity Data

Categories Analytics

As a fun exercise in my Data Science Pipeline class, I used my smartphone to  collect location data for approximately three weeks. A built-in algorithm also attempted to determine my activity (e.g. riding in vehicle, walking, etc.). By combining my location data with my timestamped activity data, I was able to produce a map of travels and modes of transportation:

Around Home / Squirrel Hill

mark-egge-around-home

Around Pittsburgh
mark-egge-around-pittsburgh

Around Pennsylvania
mark-egge-around-pennsylvania

For more, view the live version of the project here: http://mark-where-and-what.appspot.com/

Mark is data science masters student and practitioner at Carnegie Mellon University with interests in transit, environmental policy and social justice.

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