In case you missed them, here are some articles from March of particular interest to R users.
Facebook used R to analyze profile photo changes to create a map of same-sex marriage support in the USA.
A presentation by Carlos Somohano summarizes the history, skills and processes of data scientists (including use of R).
An overview of the 170+ probability distributions available in R.
The Metro Meeting Point web application uses R to find the optimal meeting point for three people riding the Paris Métro.
Video replay of a webinar I gave on March 14 introducing Revolution R Enterprise.
A perspective on teaching R and Data Science using massively-open online courses like those from Coursera.
The Washington Post reports on a map of worldwide email traffic created with R.
I discuss the growth of R and Revolution Analytics over the last year in an interview with the Boulder BI Brain Trust.
Quandl is a new package for R that gives access to free time series data.
A list of resources for data journalists using R.
A web-based application used R to track bookmaker's odds on the next Pope.
News on new integrations between R and Hadoop from Revolution Analytics.
R 2.15.3, released on March 1.
Some non-R stories in the past month included: a NoSQL music video, a 200-year bubble sort simulation to find the best rowing crew, a Donkey Kong role-reversal, word-association with Google spreadsheets, whether data can really speak for themselves, big data in video games and why you should teach kids to code.
As always, thanks for the comments and please send any suggestions to me at firstname.lastname@example.org. Don't forget you can follow the blog using an RSS reader, or by following me on Twitter (I'm @revodavid). You can find roundups of previous months here.