Blog Archives

The beautiful R charts in London: The Information Capital

November 26, 2014
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The beautiful R charts in London: The Information Capital

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. Using the R programming...

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Twitter’s R package for detecting breakouts in time series

November 24, 2014
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Twitter’s R package for detecting breakouts in time series

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...

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Ford uses R for data-driven decision making

November 21, 2014
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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: On the statistical side,...

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The three types of Reddit posts, and how they make it to the front page

November 19, 2014
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The three types of Reddit posts, and how they make it to the front page

Todd Schneider's blog post on solving the traveling salesman problem with R hit the front page of reddit.com. 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). But what factors determine which of reddit's contributed links make it to the front page? (There...

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Video presentation on Revolution R Open and DeployR Open

November 17, 2014
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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. In addition to providing an overview of Revolution R Open, the presentation also introduces other open source projects from Revolution Analytics. If you've ever wanted to embed R into another application,...

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R leaps to #12 in Tiobe language popularity index

November 14, 2014
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R leaps to #12 in Tiobe language popularity index

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. A high ranking is an impressive achievement for R given that it is a domain-specific language (designed for data science applications), and...

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In case you missed it: October 2014 Roundup

November 12, 2014
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In case you missed them, here are some articles from October of particular interest to R users. R hits a new milestone with 6,000 CRAN packages, and R 3.1.2 released. Revolution Analytics announces Revolution R Open, a supported and enhanced downstream distribution of R. (Learn more at the webinar on Wednesday November 12.) Some benchmarks on the performance improvements...

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Benchmarking Revolution R Open on Linux

November 10, 2014
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Benchmarking Revolution R Open on Linux

We recently shared some benchmarks for Revolution R Open on the Windows platform, which showed significant improvements compared to R downloaded from CRAN. Those performance gains mainly come from multi-threading: Revolution R Open is linked to the Intel Math Kernel Library, which uses all available cores (rather than just one core) to compute matrix and vector operations in parallel....

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Learn about Revolution R Open in live webinar, November 12

November 7, 2014
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On Wednesday next week, I'll be presenting a live webinar to introduce Revolution R Open and several other open source projects from Revolution Analytics. In the webinar I'll describe: The enhancements included in Revolution R Open The Reproducible R Toolkit and the checkpoint package How to call R from other applications with DeployR Open How to run R in...

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Running R in the Azure ML cloud

November 3, 2014
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The key to making data science successful is making sure you can deploy the machine learning code that data scientists create into applications that rely on the results of the analysis. Microsoft has tackled this problem with Azure ML: machine learning in the cloud. This short video neatly summarizes the process of deploying R code to the cloud in...

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