Some cool MIT folks put together an application that maps your email communication in pretty dots of various colors and sizes depending on your interactions and network. They call it Immersion, "a people-centric view of your email life." I'm not sure I would equate email to my life, but it seems like a data visualization worth checking out.
Did you know the New York Times has a Research Lab? They're up to some interesting data projects - including a digital mirror. I have to admit, I won't use the mirror while applying make-up, but I'd love to read the news while blow-drying my hair.
Transparency and government have never gone hand in hand. California residents pay huge sums into its coffers - so where's it all going? Well, some folks over at California Common Sense are asking the same question and have the math chops to sort through the data. Check it out.
It's even worse at the city level. Why doesn't San Francisco publish it's budget and expenditures for all taxpayers to see? I can't wait to see that data visualization.
In my own data company pursuits I've been continually frustrated by what seem like two different camps - the data visualizers and the infographic designers. I consider them the data design Crips and Bloods (I'm from Los Angeles). What I'd like to see is a compromise - a peace that produces actual answers to problems that everyone can understand. The space needs an info visualizer or a graphic data-izer. Someone who understands that while cool charts are well...cool, the end goal is to educate and illuminate not obfuscate.
I found at least a similarly frustrated comrade in Bret Victor (full disclosure: I do not know him - just stumbled upon the blog). You have to scroll down a bit to get to the good stuff, but worth a look.
If you know me then you know I love data, data visualization, and science. What's one way to make sense of data? Well R! R is a language for statistical computing and graphs. It has mostly been used in academic settings but I'm starting to see more of its use in technology companies.
I'm particularly intrigued by predictive analytics. Many use R to tackle the problem.