BuzzData has posted the first piece in a series on “What makes a good visualization”, starting with a focus on Microsoft’s “Pivot“.
Personally speaking, I think both McKinney and Garkusha were homing in on one central point about creating data visualizations — the most telling criterion of a “good” or “bad” viz is whether or not it’s apparent the creator considered what is relevant (or worth learning) in their data, for whom, and of course, which design or tool is the right way to communicate it.
It’s a bit meandering, but seems to be trying to get to the crux of “How do you quantify what makes a visualization good?” A good start to what will hopefully be an interesting series.
via BuzzData | Blog, What makes a visualization good? Part I.
