Revolutions in Time

Words and Years is a series of graphs based on research in various academic journals and magazines. Going through the complete volumes of the journals from the first issues up until today, selected words are higlighted [sic] and the frequency of their use is mapped.

Logic and Love in Art

Miracles in Nature and Science

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Golden Parachutes, RxRxR, 2009, composition gold leaf & pencil on paper, 30"x40"

Golden Parachutes, 1xRxR, 2010, composition gold leaf & pencil on paper, 30"x40"

Via Triangulation Blog.

Interest no. 6: "The focus of the interest deals with gang related crime and whether the Danes have changed behavior because of it."

Interest no.4: "The focus of the interest deals with whether or not the Danes think it's ethical to wear religious symbols in public professions."

Orntoff's Infographics project attempts to put data into context by using representative images.  I'd perhaps tweak the actual representation used to better match each data set (e.g. proportions are unclear in the second example) but the general concept is brilliant. See more images and more context at his site.

Sure, pie charts are overused. I agree that we, as designers, need to be very calculated when visualizing information rather than falling back on easily-created MS Excel favorites like the pie chart. But, it just seems a little, I don't know, elitist to completely disown pie charts. There are plenty of articles begging "please don't use pie charts" and even calling pie charts "the prime evil". There are also lots of ideas around how we can move "beyond the pie chart."

But since it's Pi Day, can we discuss the merits of pie charts? Two points come to mind:

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I recently came across Jeff Clark's portfolio, which features a ton of solid data visualization tools and projects, including a couple of nice applications for Twitter.

Twitter Venn (created using Processing and Twitter Search) takes a set of terms and creates a Venn Diagram showing the rate of tweets containing the each of search terms and combination of the search terms. Twitter Venn also shows a tag cloud for each regions with other common words. Look at the Twitter Venn for design, less, better:

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