Good data analysis like good art should cause you to quietly reflect on what it means to you, how it includes your life.
In data visualization we also have an obvious parallel with art, and many of the best visualizations are constructed using principles (and often by practitioners of) graphic design. However, often it seems that people are more worried about how a graphic looks, and less about what question it addresses. A celebration of data visualization as a sort of pop art has sprung up. This isn't a bad thing, but I find it interesting.
In my NerdNite talk I decided to play a game, which I will reproduce here for fun: Art or Data? I have chosen a few select examples of data and art that look similar (I've also cropped/scaled them to be extra misleading). Your job is to guess which panel is which. Answers follow below the fold...
Now the answers!
B = Data: 4 hours of mouse tracks captured by "IOGraphica" while using Eclipse.
A = Data: Alice in Wonderland from Jaz Parkinson's 2012 colour signature project.
B = Art: "Spectrum Colors Arranged by Chance III" (1952) by Ellsworth Kelly
The full version of Spectrum Colors: