Skip to main content

Meta-information design

How much do I appreciate an infographic that organizes and explains infographics? Well, OK, that was a rhetorical question, but the answer is: A WHOLE LOT.

Check out this Periodic Table of Visualization Methods (part of an online course called Visual Literacy that was created by a consortium of European universities).

Hover your cursor over any cell in the table and you see a handy example of that particular format.

Oh my, the coolness.

Comments

  1. Holy mother of fun... Thanks!

    Some years ago I helped on a conference that convened scientists and visual communicators to see how (a) the VizC's could help non-scientists understand science and (b) the VizC's could help scientists understand science even more. It was cool.

    The organizer wasn't a big fan of Tufte, but whatever. My takeaway was that Tufte doesn't have all the answers. But he sure as crap has plenty of the evaluatory tools.

    ReplyDelete
  2. Right - more like a set of Best Practices.

    ReplyDelete

Post a Comment

Popular posts from this blog

Recommended: a new review "zoo"

"A Tour Through the Visualization Zoo" is a fantastic introduction to some attractive and sophisticated new visualization formats. The article and illos were put together by Stanford's Jeffrey Heer, Michael Bostock, and Vadim Ogievetsky. Heer is an HCI/visualization genius whose journal articles I've been following with interest; Bostock is the whiz behind the D3 archive of javascript code for visualization.

Run, don't walk. It's great.

Blast from the past: a 1974 data treatise by Edward Tufte

Back in 1974, Yale poli-sci professor Edward Tufte published a slim volume called Data Analysis for Politics and Policy (Prentice-Hall, $3.95). The book in its entirety is available for free download (PDFs) at Tufte's website, accompanied by a contemporary review from the Journal of the American Statistical Association. More than 30 years later, the review amuses me with its restrained praise of the perspective that would eventually make Tufte a Major Figure (and a minor fortune):
Tufte puts residual plots to good use to gain understanding of a data set, and he shows how finding outliers gives the analyst hints about the inadequacy of a statistical model... The discussion of graphical techniques in general is quite good... A brief but compelling discussion of the "value of data as evidence," with regard to the interpretation of nonrandom samples, is presented. If you happen to have a spare 48MB lying about, DAPP's worth a download.

[via Sofa Papa]