Posts tagged Jer Thorp

Visualizing 138 Years of Popular Science
Jer Thorp, data artist in-residence at The New York Times, worked with Popular Science’s magazine archive to visualize how different technologies have emerged over the years. 
The results can be seen in some 140+ images over on Flickr.
Via Thorp:

Near the end of the summer, I was asked by the publishers of Popular Science magazine to produce a visualization piece that explored the archive of their publication. PopSci has a history that spans almost 140 years, so I knew there would be plenty of material to draw from. Working with Mark Hansen, I ended up making a graphic that showed how different technical and cultural terms have come in and out of use in the magazine since it’s inception.
The graphic is anchored by a kind of molecular chain – decade clusters in turn contain year clusters. Every atom in these year clusters is a single issue of the magazine, and is shaded with colours extracted from the issue covers via a colour clustering routine. The size of the issue-atoms is determined by the number of words in each issue.

Visualizing 138 Years of Popular Science

Jer Thorp, data artist in-residence at The New York Times, worked with Popular Science’s magazine archive to visualize how different technologies have emerged over the years. 

The results can be seen in some 140+ images over on Flickr.

Via Thorp:

Near the end of the summer, I was asked by the publishers of Popular Science magazine to produce a visualization piece that explored the archive of their publication. PopSci has a history that spans almost 140 years, so I knew there would be plenty of material to draw from. Working with Mark Hansen, I ended up making a graphic that showed how different technical and cultural terms have come in and out of use in the magazine since it’s inception.

The graphic is anchored by a kind of molecular chain – decade clusters in turn contain year clusters. Every atom in these year clusters is a single issue of the magazine, and is shaded with colours extracted from the issue covers via a colour clustering routine. The size of the issue-atoms is determined by the number of words in each issue.

I’m certainly interested in the aesthetic of data, but I rarely think when I start a project “let’s make something beautiful.” What we see as beauty in a data visualization is typically pattern and symmetry — something that often emerges when you find the “right” way, or one of the right ways, to represent a particular dataset. I don’t really set out for beauty, but if the result is beautiful, I’ve probably done something right.
Jer Thorp, data artist in residence, New York Times, in an interview with Audrey Watters of O’Reilly Radar.