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The Washington Post reports that by analyzing more than 10 million emails sent through the Yahoo! Mail service in 2012, a team of researchers used the R language to create a map of countries whose citizens email each other most frequently:

On Friday I traveled to Boulder, CO to update the Boulder BI Brain Trust on the latest news and updates from Revolution R Enterprise. While I was there, I was interviewed by BBBT president Claudia Imhoff. In a wide-ranging chat, we discussed: 

Mikhail Popov alerted me to a neat hidden feature of Google spreadsheets: automatic word association. If you highlight two or more related words in a column and then hold down option (or control, on Windows) while dragging down from the corner square, it will fill the remaining cells with words from the same category as the source words you selected. For example, I just tried it with "R" and "SAS" and (mostly) got a list of other computational software:

In a guest post here on February 20, Tammer Kamel introduced us to Quandl, a kind of "wikipedia" of time series data. In the post, Tammer (the founder of Quandl) noted that they were working on an R package to give R users access to Quandl as a data source. 

By Joseph Rickert

“Listen Corso, there are no innocent readers anymore. Each
overlays the text with his own perverse view. 
A reader is the total of all he’s read, in addition to the films and
television he’s seen. To the information supplied by the author he’ll always add
his own.”  (Arturo Perez Reverte: The
Club Dumas)

Every year for the past six years, a consortium of software companies has collaborated to conduct a survey on attitudes and adoption of open-source software in business. The 2013 Future of Open Source survey is now open and taking responses until March 28. Open source analyst group 451 Research is a collaborator again this year, along with Revolution Analytics, Red Hat, Hortonworks, and several other open-source software firms.

M. Edward Borasky has curated a list of resources for budding data journalists looking to use R. Many of the links relate to data scraping, data mashups and data visualization, and so would be useful for data science applications generally. Check it out. (via Hadley Wickham)

Tired of manually running a python script to scrape the latest bookmaker odds on the next Pope, R user AJ (an analytical research manager at a large healthcare company) instead created an R script to track the odds on the Papal successor, and automated it with the Shiny package for R.

Between the Strata conference and various announcements, last week was certainly a busy one for the crew here at Revolution Analytics. So I thought I'd take the opportunity to catch you up on some of the recent media articles you might have missed:

This video below is what the word "inspirational" was made for. My parents gave me my first computer at around age 11 or 12 (a Dick Smith VZ-200), and it literally changed my life. The first "real" program I remember writing was a 2-player version of the Snakes game, written in Basic.