Blog Archives

Fortune: Data Science is the hot new job

September 6, 2011
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An article in the September 5 issue of Fortune Magazine notes that despite the economy, companies are scrambling to hire data scientists: Data scientists have been a fixture at online companies like Google (GOOG) and Amazon (AMZN) for years. But these days organizations as diverse as Wal-Mart (WMT) and Foursquare are hiring computer science experts who can analyze all...

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Webinar: Leveraging R in Hadoop Environments

September 6, 2011
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Webinar: Leveraging R in Hadoop Environments

On Wednesday September 21, Revolution Analytics' CTO David Champagne will give a live webinar introducing three new open-source packages for R and Hadoop, which make it possible to work with Hadoop data in R, and bring in-database R analytics to Hadoop. Here are the details: Date: Wednesday, September 21st Time: 10:00AM - 10:30AM Pacific Time Presenter: David Champagne, Chief...

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KDNuggest: R most commonly used software for data mining & analytics

September 5, 2011
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KDNuggest: R most commonly used software for data mining & analytics

In a poll with 570 respondents conducted last month at KDNuggets, the R software was the most frequent response to the question, "What programming languages you used for data mining / data analysis in the past 12 months?". The results are tabled below (respondents could select more than one response): In another poll conducted earlier this year, KDNuggets also...

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Discussion thread on R vs SAS for businesses

September 2, 2011
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There's an interesting discussion thread on LinkedIn going on now on the relative benefits of R versus SAS in the commercial sector. Oleg Okun kicks off the discussion with this question: Did anyone have to justify to a prospect/customer why R is better than SAS? What arguments did you provide? Did your prospect/customer agree with them? Why do you...

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Help showcase R with the "Applications in Business" contest

September 1, 2011
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By showing off what R can do for businesses, you could share in $20,000 in prizes from Revolution Analytics. R is already used in many companies around the world, but many people who could benefit from using R still don't know what it is or how it could help them. That's why we're reaching out to the expertise of...

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Big Analytics: Closing the "clue gap" with Big Data

August 31, 2011
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There's been an growing discussion over the past couple of years on the topic of Big Data: how to deal with the situation when you have more data than can be conveniently managed and analyzed by traditional software tools. But Big Data has little intrinsic value in its own right: its value is only realized when you can deploy...

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What language is R written in?

August 30, 2011
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What language is R written in?

On of the nice things about R is that a lot if it is written in the R language. That means, as an R user, if you want to see how R calculates a certain statistic, or you want to modify an existing function for your own use, you can just look at the R code by typing the...

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Sharing live R functions with OpenCPU

August 29, 2011
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Sharing live R functions with OpenCPU

OpenCPU is a new initiative from R user Jeroen Ooms to make innovations in statistics, visualization and data-science more widely applicable. Based on open-source principles, it's a web-based service that lets you upload data visualizations and analyses as R scripts, and allow others to run them on demand. For example, you can upload a script to visualize a company's...

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Revolution R: 100% R and More – slides and replay

August 26, 2011
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If you missed this week's webinar, the slides from my presentation Revolution R Enteprise: 100% R and More may be useful as an introduction to R and the additional capabilities of Revolution R Enterprise. The slides themselves and the replay video are also available for download from the link below. Revolution Analytics webinars: Revolution R Enterprise: 100% R and...

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9 more ways to bring data into R

August 26, 2011
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Here's a followup to yesterday's post on using the rdatamarket package to import data into R. Ajay Ohri at the DecisionStats blog offers nine additional methods for bringing data into R, from sources including InfoChimps, the Google Prediction API, the World Bank World Development Indicators, Bloomberg Market Data, and much more. See Ajay's post at the link below for...

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