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.

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