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In 1998, John Chambers won the ACM Software Systems award for the S language, which the ACM heralded as having "forever altered how people analyze, visualize, and manipulate data". The R language is "not unlike S", and John continues pushing the frontiers of statistical computing as a member of the R Core Group.

David Smith's picture
November 22, 2012

We're taking a break today and tomorrow at the blog for the Thanksgiving holiday. (We'll be back to usual programming on Monday.) Wherever you are in the world, please enjoy the holiday and/or the weekend with your families. Happy Thanksgiving from everyone at Revolution Analytics.

A quick heads-up that I'll be presenting another brand-new webinar on Thursday next week (November 29). In Real-time Big Data Analytics: From Deployment to Production, I'll review the process of making predictive models work in real-live operational environments. I'll also tackle those ubiquitous buzz-words "real-time" and "big data", and the fact that they can mean very different things in different parts of the process. Here's the talk description:

I'm really looking forward to useR! 2013 (the international conference for R users), and not just because it's being held in Spain next year (July 10-12). The program is already coming together, with a great lineup of invited speakers, including R-core member Duncan Murdoch and prolific package authoR Hadley Wickham.

According to CNN Money. Video Game Designer, Social Media Manager and jobs in the green energy sector also made the list. The Harvard Business Review agrees: last month, they called 'Data Scientist' the "sexiest job of the 21st century".

Coursera's introductory "Statistics One" course uses R for the practical data analysus exercises. To support course participants, Princeton University grad student Laura Suttle created a series of web videos introducing the R interface.

This acrylic sculpture was created not by carving out the lighting design by hand, but in a split second with the tap of a nail:

An expressive programming language allows developers to implement algorithms quickly, by using high-level concepts and leaving the details to the language implementation. The result is clearer, more maintainable code that can be created in less time. (Although shorter code isn't always better, especially when taken to extremes.)

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

If you often find yourself cutting-and-pasting charts or tables generated in R into PowerPoint or Keynote, you might want to take a look at Slidify. Created by R user Ramnath Vaidyanathan, Slidify is an R package that allows you to use R Markdown to define the slide content and automatically embed R output.