I See What You Mean

This is an amusing yet cautionary illustration that expresses exactly what I hate about so very many infographics. This approach dumbs down the information under the guise of making you smarter. Hat tip: VizWorld .

At his blog, Michael Babwahsingh says a number of smart things about the current status and ultimate value of information design. Number 8 is an excellent sample of his sensible macro approach: 8. Commercialization For several years now, the infoviz/dataviz trend has become infused in popular culture; the influence of the information design aesthetic is everywhere, from movie sequences to music videos to art exhibits . Although the intent is often tongue-in-cheek , and may even indirectly promote information design, there is still a risk of diluting, muddling, or flat-out mocking a field that has yet to really define and take ownership of itself. News features and special issues on information design are becoming more common, particularly in the graphic design world, but the tendency is towards visual appeal and surface-level scans over deep investigation (examples include Grafik magazine’s April 2010 issue, Eye Magazine’s Winter 2010 issue , and Fast Company’s Co.Design blog posts...

Increasingly, it seems, mass media outlets are talking up infoviz. Great news for us here at Synoptical Charts, but more than that, helpful for people in businesses that demand clear, concise and logical communication. In other words, everybody. Today's installment, from Forbes.com : ...[W]hile Hadoop may be the poster child of Big Data, there are other important technologies at play. In addition to Hadoop, the open source framework for distributing data processing across multiple nodes, these include massively parallel data warehouses “that deliver lightening [sic] fast data loading and real-time analytic capabilities,” as the report states; analytic platforms and applications that allow Data Scientists and business analysts to manipulate Big Data; and data visualization tools that bring insights from Big Data analysis alive for end-users. Big Data is Big Market & Big Business - $50 Billion Market by 2017

"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.

Booth’s Maps are important documents of mass poverty, but by drilling down and giving huge amounts of detail, they do more than analyze it statistically,” said Beverly Cook, curator of social and working history at the Museum of London. “Many writers and artists of the time saw London as a divided city, split between rich and poor, but these maps show its complexities. In many respects, they give a more realistic portrayal of working class life in London than Charles Dickens’s novels. By making something so complicated seem straightforward, Booth’s Poverty Map was also a triumph of information design. It fulfilled one of design’s most useful functions — helping us to make sense of the world — by distilling an avalanche of information into a clear, coherent form. An Early Triumph in Information Design - NYT.com

Michael Friendly and Daniel J. Denis have a wonderful interactive timeline on milestones in the theory and practice of data visualization. Be prepared to spend a lot of time there; it's a deep well. Milestones in the History of Thematic Cartography, Statistical Graphics, and Data Visualization

Check out Lauren Manning's installation/survey about data visualization methods. She has created and mounted 40-odd versions of a big yet easy-to-understand data set. Viewers can show her which versions attracted them most strongly, got them thinking, and so forth by marking up "experience cards" that show the array in miniature. My own faves tend to be those that illustrate the proportions of different foods in fresh ways (mostly in the Abstract/Complex quadrant of her matrix ), rather than just showing images and labeling them with numbers (the Simple/Literal quadrant). Among those I like best: Food by Line Weight Concentric Circles Shaded Box Chart Stacked Bar Chart and Mini Months At the same time, I found a few of the formats hard to grasp; one such is the Rainbow Diagram Full Circle . I don't understand the purpose of the connections or the meaning of the line width. It needs a legend, at the very least. Still, the photoset/installation...