Blog Archives

Thursday: Scalable Cross-Platform R-Based Predictive Analytics

December 11, 2013
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Tomorrow at 11AM Pacific Time, Revolution Analytics' Chief Scientist Mario Inchiosa will present a live webinar on Scalable Cross-Platform R-Based Predictive Analytics. Here's the abstract: In this webinar we will take a quick tour through an end-to-end predictive analytics session. We will start by exploring our data with summaries and histograms. Using the knowledge gleaned from data exploration, we...

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In case you missed it: November 2013 Roundup

December 10, 2013
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In case you missed them, here are some articles from October of particular interest to R users: A recap of the Strata Hadoop World conference, including presentations from Monsanto and eHarmony on their use of R. How to rank and chart the most frequent hashtags of Twitter users with R. A replay of the What’s new in Revolution R...

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On the growth of R and Python for data science

December 6, 2013
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On the growth of R and Python for data science

A recent article by Matt Asay claims that "Python is displacing R as the language for data science". Python has certainly made some great strides in recent years, evolving beyond a data processing tool (an area where Python excels) to a data analysis tool. The Pandas project, in particular, has greatly expanded Python's ability to handle statistical data sets...

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A conversation with Robert Scoble

December 5, 2013
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I had the pleasure of visiting technology guru Robert Scoble at Rackspace Labs a few weeks ago. We had a great conversation about the Big Data revolution, and how large enterprises are catching up with the likes of Google and Facebook when it comes to using their data stores to improve their operations and provide a personalized experience for...

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14 Analytics Predictions for 2014

December 3, 2013
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In a live webinar today hosted by Alteryx, five industry experts shared 14 analytics predictions for 2014. The panel included Paul Ross (Alteryx), Charles Zedlewski (Cloudera), Rick Schultz (Alteryx), Ellie Fields (Tableau) and Michele Chambers (Revolution Analytics). Their predictions were: Analysts will matter more than data scientists R will replace legacy SAS solutions and go mainstream Big Data will...

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Tutorial: Basic data processing with R

December 2, 2013
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R can do a lot of really amazing things, but to use just about any of R's many features you need to first import your data and get it into the appropriate shape. For R beginners, this "data wrangling" task can be daunting. Fortunately, ComputerWorld's Sharon Machlis has created an in-depth tutorial for many data preparation tasks, which is...

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Happy Thanksgiving from Revolution Analytics

November 28, 2013
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> require(devtools) > install_github("cowsay","SChamberlain") > require(cowsay) > say("Happy Thanksgiving!",by="chicken") ----- Happy Thanksgiving! ------ \ \ _ _/ } `>' \ `| \ | /'-. .-. \' ';`--' .' \'. `'-./ '.`-..-;` `;-..' _| _| /` /` (With thanks for Scott Chamberlain for the cowsay package.) For those in the US and everyone who celebrates, Happy Thanksgiving from the team...

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Try out R online with R-Fiddle

November 25, 2013
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Try out R online with R-Fiddle

It's pretty easy (and free!) to download R and install it on your own PC, Mac or Linux machine, but if you don't have one of those or simply aren't ready to commit to installing it, you can now try it out online. R-Fiddle (from DataMind) provides an easy-to-use interactive R console that you can run from your browser....

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The rise of R as the language of analytics

November 22, 2013
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It's no coincidence that while the usage of the R language is skyrocketing (as shown in the recent Rexer Analytics and KDNuggets polls), the growth in data scientist jobs is also skyrocketing. R is the lingua franca of data science, and as the pervasive statistical software in the academic sector, there's a steady-stream of newly-minted graduates trained in R,...

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Getting started with R, for Stata users

November 19, 2013
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Getting started with R, for Stata users

If you learned statistics using Stata software but have an interest in learning the R language, it's worth checking out R~Stata: Notes on Exporing Data by Princeton's Oscar Torres-Reyna. D-Lab's Laura Nelson provides an overview, but in short it's a collection of 30 PDF slides that introduces R for Stata users, and provides translation tables like the one below...

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