#NICAR13 is already paying off. Thanks to a few sessions from a few brilliant people, I decided to try using R to evaluate bail data. Unfortunately, all these boxplots show me is that our data was screwed up when they changed the field type in 2004, which is just another fun problem to solve…
The Power and Danger of Data Visualization
I always love to see examples that demonstrate faulty data visualization. in this post, Sayf Sharif not only points out that Twain apparently made up that Disraeli used the phrase,” lies, damned lies, and statistics,” but he lays out some great examples of misleading data visualizations.
WHOA COOL! Processing now “exports” to Android. Nifty!
So Processing has a nice little tab that can throw you into a nice green-tinged Android mode, which not surprisingly let’s you do…well..Android things. The current Processing beta, once set to Android mode, can export an Android “project” which following some intermediate steps, can lead you…
“This is a visualization of the network packets of a YouTube video, slowed down 12 times. You can clearly see the handshake, some odd client/server negotiation, and the full ramp-up.”
Very cool dataviz about hockey great Wayne Gretzky.
R is something I haven’t tried yet. What do you think? Have you dipped into it?
FF Chartwell, a “typeface” for creating simple charts and graphs.
The visual representation of data has gone through a number of phases, with its goals switching back and forth between analysis and presentation over time. Many introductions to visualization tend to portray historical examples as all being done for the same purpose. That, I argue in this short, incomplete, and cherry-picked history, is not true.
Early to Mid–1800s: Playfair, Nightingale, Snow, Minard
The first uses of graphics to represent data, interestingly, were very bare and abstract, and at the same time were mostly tools for communication. The abstract nature of these early charts is surprising when you consider the amount of ornamentation and decoration that was common with even simple household objects in the early to middle of the 19th century. John Snow’s and Charles Minard’s maps were downright stark compared with many maps drawn at the time.
Winners of the OECD Visualization challenge http://m.guardian.co.uk/news/datablog/2013/jan/10/oecd-visualizing-challenge-winners
Wow, what is this?
The 113th Congress, by the numbers
I initially thought, ugh, bad dataviz, I have no idea what I’m looking at. But when I clicked through I changed my mind — it’s just that this one needs to be seen at a larger size.
An interactive singles map of the U.S.
Henry Chinaski’s Women and What They Meant to Him, 2006
Thirty one women appear in this novel, only a few of which Bukowski’s main character did not sleep with. The timeline documents the duration of each woman’s appearance by page numbers, as well as Henry Chinaski’s opinion of them based on the words “fuck” and “love” as mentioned in the book. More good stuff on louisema.com
Makes me wonder what would happen if you start putting novels into Overview.
Animating a social network using R, other tools.