Skip to main content

Business Week on Tufte:
"Invisible Yet Ubiquitous Influence"


Along with Fast Company (and me), Business Week asserts that good information graphics and info design have business value. An admiring profile of Edward Tufte — with accompanying slide show, natch — is featured in BW's recent "Voices of Innovation" package:
Next to a bad example of a graph, he positions a sublimely clear treatment, often using the same data. Simple as it sounds, the effect has proved to be riveting for a generation of nonprofessional designers. Tufte's work is relevant to anyone who needs to write or present information clearly, from business executives to students.  
In dismantling some of the worst habits of two-dimensional design, he has framed new analytical terms that flicker through many design conservations [sic]*.
* Conventions? Conversations? Or something else? And, more important, have any readers out there recently had a "design conversation" at work? (Media folks, you're DQ'd, sorry.) Do tell.

Comments

  1. Anytime you want, and the ice cream's on me. I love those swirly cones!

    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]