21 Must-Read Data Visualization Books, According to the Experts

While new tools emerge and old ones evolve, so many core best practices in data visualization remain evergreen — be they color selection, axis orientation, the appropriateness (or gratuitousness) of animation or interactivity in a given context, and far beyond.

“A lot of what changes is just software, [but] a lot of the concepts remain very constant,” said Alli Torban, a Washington, D.C.-based data visualization consultant. “Even a 10-year-old book still has a lot it can teach you.”

We asked four data visualization experts to select and discuss a few of their favorite data visualization books.

Click here to see the full article by Stephen Gossett.