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The most recent edition of the Revolution Newsletter is out. The news section is below, and you can read the full December edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email.

Twitter has become a powerful medium for organizing and communicating with factions during popular uprisings: the crisis in Egypt, the uprising in Syria, the revolution in Iran, and other conflicts all around the world.

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

In the webinar "Real-Time Predictive Analytics with Big Data", I showed how R fits into a real-time production system.

Coursera's Computing for Data Analysis course on R is now over, with four weeks of free, in-depth training on the R language.

Yesterday was the fourth anniversary of the Revolutions blog.

I love magic tricks, especially those that don't require sleight-of-hand (which I'm not nearly dexterous enough to pull off consistently). So this magic trick is perfect for me. Plus: the magic is actually math — specifically, a sorting algorithm based on ternary arithmetic:


The best YouTube comment on this video:

Have a great weekend, all!

According to an analysis by Prescribing Analytics (a joint venture of technologists and doctors in the UK), Britain's cash-strapped National Health Service (NHS) is overspending on prescription drugs. While cheaper (but equally effective) generic drugs are widely available for many treatments, some doctors continue to prescribe patented drugs which can cost 10 times as much — and often much more.

David Smith's picture
December 6, 2012

By Revolution Analytics training manager James Peruvankal

If you are new to R, and want to get an introduction to the R language, in the classic “learning by doing way”, Code school and O’Reilly have put together the Try R interactive tutorial

The shiny package, the R package from RStudio that makes it easy to build simple interactive interfaces for R scripts, is now available on CRAN. This will make it easier for R programmers to install and use shiny, and to run the interfaces they create from a local web browser.