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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