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The past couple of years have seen a dramatic growth in the use of the R language in the enterprise. R has always been pervasive in academia for research and teaching in statistics and data science, and as new graduates trained in R have migrated to the workplace the demand for R in corporations has become more and more intense. 

Revolution Analytics' open-source RHadoop project, which provides integration between R and Hadoop, has been updated with the release of version 1.2 of the "rmr" package.

One of my favourite conferences, Strata: Making Data Work, starts tomorrow in Santa Clara, CA. Revolution Analytics is a proud sponsor, and I'll be there with the team to listen to some great talks and to meet other R users at our booth in the exhibition hall.

Ever been frustrated by a paper map that, once unfolded, is impossible to figure out how to refold? The solution is the Miura-Ori sheet, which unfolds easily and naturally re-folds itself into a compact form:

Spanish R user and solar energy lecturer Oscar Perpiñán Lamigueiro has written a detailed three-part guide to creating beautiful maps and choropleths (maps color-coded with regional data) using the R language. Motivated by the desire to recreate this graphic from the New York Times, Oscar describes how he creates similar high-quality maps using R.

The R-chart blog explains how to read a weblog file into R, so you can analyze traffic to a website. For example, here's a page request chart created with R:

If you missed this morning's webinar, Revolution R Enterprise, 100% R and More, I've embedded the slides below. Interestingly, about half of today's participants were SAS users, and the remainder R users. The first section introduces open-source R, and the second describes the additional features of Revolution R Enterprise.

If you haven't yet had a chance to catch my regularly-scheduled webinar, "Revolution R Enterprise - 100% R and More", it's a quick 30-minute introduction to the R language and the added features of Revolution R Enterprise. It's also a chance to ask me any questions you might have about R or Revolution Analytics during the live broadcast (starts at 11AM Pacific time). Details and registration info at the link below.

Three articles in recent weeks have touched on an important issue related to Big Data and predictive analytics: sometimes, the results can be downright creepy. It's kind of like the "Uncanny Valley" in computer animation: the reason why the human characters in Pixar animations are cartoon-like and not human-like is because trying to make animated humans photorealistic generally results in uncomfortable reactions from the viewer.