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by Joseph Rickert

November was an active and creative month for R user groups with over 50 events listed on the Revolution Analytics' Community Calendar. Here are some highlights that can be found by visiting the websites of a few of the groups that post and share presentations.

Datamation has published its list of the Top 20 Big Data Companies and Revolution Analytics is second on the list:

by Andrie de Vries

A few weeks ago Joseph Rickert wrote an excellent post about using the igraph package, illustrating many concepts of using graphs.

If you're a current graduate or undergraduate student and have a knack for data visualization, why not submit a paper to the 2014 ASA Statistical Graphics Student Paper Competition?

It's Thanksgiving Day here in the US, so we're taking the day off to spend some time with our families and to eat far too much food. If you're in the US or celebrating Thanksgiving elsewhere, enjoy the day! And for everyone in this season of joy, here's a handy app to scale your eggnog recipe, however many people are around your table. 

If you've lived in or simply love London, a wonderful new book for your coffee-table is London: The Information Capital. In 100 beautifully-rendered charts, the book explores the data that underlies the city and its residents. To create most of these charts, geographer James Cheshire and designer Oliver Uberti relied on programs written in R.

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):