Reading Edward Tufte's latest opus, Beautiful Evidence, I stopped on page 176 to consider his redesign of a table of data about cancer survival rates, shown (in part) here. As you can see, it's a stack of sparklines, each decorated with data labels. In Tufte's online forum you can find the original table, the redesign, and an assortment of PowerPoint manglings of the data.
As is often the case when reading Tufte, I asked myself two questions:
One answer to the first question is this web interpretation of Tufte's redesign (code). Here I've borrowed part of Joe Gregorio's sparklines kit and used it to generate one data graphic (e.g. Prostate.png) for each disease. I've also wrapped these images in a linked set of four HTML files, sorted by 5-, 10-, 15-, and 20-year survival rates.
This version sacrifices some of the typographic elegance of the original in exchange for some of the benefits of the web: interactivity (you can review different sortings), data availability (the data are included in the HTML files).
The second question is much, much harder. There's nothing earthshaking about what I've done here. But most people won't attempt any data visualization that isn't supported in the standard chart kits. For starters, there's a conceptual obstacle. You've got to have the idea in the first place. I got the idea from Tufte, but Tufte's brain doesn't scale very well. I can't directly apply it to novel situations.
Then there's a logistical hurdle. You've got to be able to implement the idea. In my case, I was able to:
Of course my brain doesn't scale either. This posting might give you a useful idea, but you can't apply my brain to your novel situations any more than I can apply Tufte's to mine.
Can web collaboration address these scaling problems? Maybe. We have lots of good of ingredients: social networks for images, code, and documentation. Time to get cooking!
Former URL: http://weblog.infoworld.com/udell/2006/10/30.html#a1554