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Story: Co-workers
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Co-worker 1
Co-worker 2
Co-worker 3

Insights Conclusions

Filling in the Gaps

Co-worker 1
often makes trips across the map on weekends. The reason for this is simple: at the time of the tracking,
Co-worker 1
was dating a West Londoner.

The overlaps in their paths suggest that

Co-worker 2
and
Co-worker 3
spent more time with one another and they insisted that the only reason for this was because Co-worker 1 was in a serious relationship.

Without the quantitative location data, we wouldn't have known that their paths overlapped more; without their qualitative explanations, we wouldn't have known why that was the case.

Conclusions

This group was the first one that I worked with. From them, I learned just how easily you can make inferences about people's personal lives and habits based on their mobile data.

But just because you can draw conclusions from someone's data doesn't mean that doesn't mean that they'll be accurate. Data doesn't imply truth. As some of the other groups show, having multiple layers of data helps solve this problem. The more data streams you have to support and enhance one another, the more informed your inferences can be.