CONCEPT: Pathways (2015) is a data storytelling project presenting a month's worth of real mobile data collected from four groups of Londoners. Pathways explores what mobile data can (and cannot) reveal about common relationships and investigates ordinary people's relationships with their personal data. Through visualization and analysis, Pathways presents a window to the actual data trails of four groups: a couple, a set of co-workers, a family, and roommates.

Pathways was completed as part of the 2014-15 Fulbright-National Geographic Digital Storytelling Fellowship, with all data collection, design, development, research, UX, and copy done over the course of the year. The project also involved progress blogposts at National Geographic's news site that can be viewed here.

BUILT WITH: Geolocation data collected with Moves and OpenPaths. Message metadata gathered from Whatsapp, Viber, and Google Hangouts. All data manipulated using Python. Site created with Leaflet.js, d3.js, and Reveal.js. View the code for the site on Github

SEE THE SITE: http://www.nationalgeographic.com/pathways 

See Press Kit and more information here.