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by Tim Winke
PhD student in Demography and Social Sciences in Berlin

This post has been abstracted from Tim's entry to a contest that Dalia Research is running based on a global smarthpone survey that they are conducting. Tim's entry post is available as is all of the code behind it. - editor

With so many more devices and instruments connected to the "Internet of Things" these days, there's a whole lot more time series data available to analyze. But time series are typically quite noisy: how do you distinguish a short-term tick up or down from a true change in the underlying signal? To solve this problem, Twitter created the BreakoutDetection package for R, which decomposes a time series into a series of segments of one of three types:

This is just ... bizarre. But if you've ever watched American sitcoms from the 80's and 90's, and you like dark and surreal comedy as much as I do, you'll enjoy most (but probably not all!) of the 11-minute sketch. It's impossible to explain, just take a look (warning: some slightly NSFW images):


Mike Cavaretta is Ford Motor Company’s Chief Data Scientist, and was tasked by the incoming CEO Alan Mulally to help change the culture so that "important decisions within the company had to be based on data". In a feature article at Dataconomy, he reveals that R is a big part of this revolution at Ford

Todd Schneider's blog post on solving the traveling salesman problem with R hit the front page of This is a big deal: front-page placement on the popular social news site can drive a ton of traffic (in Todd's case, 1.3 million pageviews).

by Jeremy Reynolds
Senior R Trainer, Revolution Analytics

Last week, Revolution Analytics released its first massive open, online course through a partnership with Introduction to Revolution R Enterprise for Big Data Analytics. You can sign up for the free course here.

The video replay from last week's Introducing Revolution R Open webinar is now available, and I've embedded it below for anyone who may have missed the live presentation.

I saw the movie Interstellar last weekend, and loved it. I'm not usually one for long movies, but it managed to sustain the excitement and wonder of Gravity for the whole 3 hours.

The R language has jumped to number 12 in the November 2014 TIOBE Index of programming language popularity. This is R's highest ranking in the history of the TIOBE index, which has been ranking languages since 2003.