The art of data visualization
Pantheon, a project from the Macro Connections group at The MIT Media Lab, explores cultural influences across countries and domains. To make our efforts tractable, Pantheon will not focus on culture, as it is understood in its broadest sense, but on cultural production. In a broad sense, culture can be understood as all of the information that humans—or animals —generate and transmit through non-genetic means . At Pantheon, however, we do not focus on the entire range of cultural information, but in a subset of this information that we define narrowly as cultural production. That is, we do not focus on cultural information such as passed on family values or societal trust , but on cultural production as proxied by the biographies of notable historical characters. Moreover, we focus on the subset of cultural production that we can identify as global culture, meaning the subset of cultural production that has broken the barriers of space, time and language.
You might not know it, but there are actually a ton of data and visualization blogs out there. I'm a bit of a feed addict subscribing to just about anything with a chart or a mention of statistics on it (and naturally have to do some feed-cleaning every now and then). In a follow up to my short list last year, here are the data-ish blogs, some old and some new, that continue to post interesting stuff.
Topics covered in this one-day course include: How to make effective, credible presentations. Fundamental strategies of analytical design. Evaluating evidence used in presentations.
"A landmark book, a wonderful book." FREDERICK MOSTELLER "A tour de force." JOHN W. TUKEY "The century's best book on statistical graphics."
"The Leonardo da Vinci of data." NEW YORK TIMES "There's a book that you simply must see.
"Remarkable range of examples for the idea of visual thinking with beautifully printed pages. A real treat for all who reason and learn by means of images." RUDOLF ARNHEIM "A magnificent sequel to Tufte's classic The Visual Display of Quantitative Information."
Today's post examines an example of Big Data analyses, submitted by a reader, Daniel T. The link to the analysis is here. (On the sister blog, I discussed the nature of this type of analysis. This post concerns the graphical element.)
The future of User Interfaces