In the TED video, “Make Data More Human”, Jer Thorp, a NY
Times Data Artist, outlines the importance of fitting data into a human context
to give it meaning.
Reading pure data is boring to most people. Seeing tables of information laid out in
series after series often makes seeing relationships and trends near
impossible. By taking that information
and laying it out graphically we make better sense of the information. Since we think in pictures it only makes
sense that the graphical representation of information is more pleasing than
the information itself.
Two innovative ideas stemmed from this concepts of making
data more human. The first was a project
called Cascade, which is an exploratory tool created for social
networking. The basic premise was to
track the initial release of a piece of information and follow it through its
sharing with social networking tools such as Twitter. Comparing the number of people involved and
the time taken to share, a better view of how social networking happens
emerges.
The second project was called OpenPaths.cc, which used
iPhone data from participating users to map their locations. The iPhone tracks the cell tower being used
and what time it was in use. From this
information, vendors can gather your location data, should you grant it to
them. From this data, this particular
application can map out where you have gone visually overlaid on a map of the
world. So rather than seeing lat/long
coordinates, you can visually see where and when you were at specific
places.
Jer makes a very interesting case for the intelligent use of
data for understanding. Through these
techniques, we can continue to visualize, construct and share meaningful information
about the data we rely on.
Thorp, J. (2012, March).
TED Talks. Make Data More Human. Podcast retrieved from http://www.ted.com/talks/jer_thorp_make_data_more_human.html.
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