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Had a great time earlier this week on a Google Hangout as part of the IBM Opinionated Infrastructure series. Moderator James Governor (analyst from RedMonk) kept the conversation lively, with topics ranging from to the value of information to the benefits of predictive analytics and evolution of Hadoop. R gets a mention at several points in the conversation, which you can catch in the replay embedded below.


Here are three recent news articles that feature interviews with members of the Revolution Analytics team talking about the importance of the R language:

This guest post is by Tammer Kamel, Founder of Quandl

Finding and formatting numerical data for analysis in R or Excel or indeed any application is a pain that all real world data analysts know all too well.  In aggregate I have probably spent weeks of my life trying to find data on the web.  And several more weeks validating, formatting and cleaning the data.  Analysis offers data scientists interesting, intellectually stimulating problems.  But data acquisition, the necessary precursor, offers only tedium and pain.  It's a time vampire.

I'll be on a Google Hangout in a couple of hours to join a discussion on big data, analytics, and expert integrated systems. The conversation will be led by RedMonk's James Governor (@monkchips), and I'll be joining a panel of experts on big data and analytics:

Anyone interested in playing around with the data generated by the PITCHf/x cameras at major league baseball games should definitely check out the pitchRx package from Carson Sievert. Major League Baseball Advanced Media makes the data available for download, and this package provides an interface from R to the speed, position and pitcher data for just about every

The yhat blog lists 10 R packages they wish they'd known about earlier. Drew Conway calls them "10 reasons to always start your analysis in R". They're all very useful R packages that every data scientist should be aware of. They are:

While astronomers were waiting for one asteroid to fly by, something much more exciting happened: a different, much smaller rock plunged through the atmosphere over Russia to become a spectacular meteor. Many Russians have dashboard cameras running at all times, so the event was caught hundreds of times on video.

Yesterday's Introduction to R for Data Mining webinar was a record setter, with more than 2000 registrants and more than 700 attending the live session presented by Joe Rickert. If you missed it, I've embedded the video replay below, and Joe's slides (with links to many useful resources) are also available.

If you haven't sent your loved one a Valentine's Day greeting yet, it's not too late! Thanks to Guillermo Santos who pointed out an R script from Berkeley's Concepts in Computing with Data course, I created the following Valentine's Day card for my husband:

In case you missed them, here are some articles from January of particular interest to R users.

Anthony Damico created an amusing and useful flowchart for finding resources for learning R, especially for survey analysis.