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In case you missed it: March 2013 Roundup

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. Joe Rickert contrasts random sampling with fitting models directly to large data sets. A presentation by Carlos Somohano summarizes the history, skills and processes of data scientists (including use of R). Thomas Dinsmore introduces the new features in the forthcoming Revolution R Enterprise 6.2, including R 2.15.3, stepwise regression for big data and other enhancements to the RevoScaleR package. Rodrigo Zamith created an interactive website that uses ggplot2 to compare basketball teams. The code behind the application is also available. 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 [email protected] . 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.

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More Stories By David Smith

David Smith is Vice President of Marketing and Community at Revolution Analytics. He has a long history with the R and statistics communities. After graduating with a degree in Statistics from the University of Adelaide, South Australia, he spent four years researching statistical methodology at Lancaster University in the United Kingdom, where he also developed a number of packages for the S-PLUS statistical modeling environment. He continued his association with S-PLUS at Insightful (now TIBCO Spotfire) overseeing the product management of S-PLUS and other statistical and data mining products.<

David smith is the co-author (with Bill Venables) of the popular tutorial manual, An Introduction to R, and one of the originating developers of the ESS: Emacs Speaks Statistics project. Today, he leads marketing for REvolution R, supports R communities worldwide, and is responsible for the Revolutions blog. Prior to joining Revolution Analytics, he served as vice president of product management at Zynchros, Inc. Follow him on twitter at @RevoDavid