Unleash the power of open source R, the world's most sophisticated data analysis software

What is R?

In the last ten years, the R statistics language has exploded in popularity and functionality – emerging as the data scientist’s tool of choice. Today, R is used by over 2 million analysts worldwide, many having been introduced to its elegance and power in academia. These academics have embraced R to solve their most challenging problems in fields ranging from computational biology to quantitative finance, and to train their students in these same fields. The result has been an explosion of R analysts and applications, leading to enthusiastic adoption by premier analytics-driven companies like Google, Facebook, and LinkedIn. Now you too can unleash the power of R in your workplace with the support, scalability and productivity enhancements included in Revolution R Enterprise.

Download Now:
"R is Hot" Whitepaper



Every data analysis technique at your fingertips

Instead of limiting your analysis options with paid add-on modules, R includes virtually every data manipulation, statistical model, and chart that the modern data scientist could ever need. And when “close enough” isn’t good enough for your predictive models, you can easily find, download and use cutting-edge community-reviewed methods in statistics and predictive modeling from leading researchers in data science, free of charge.


Create beautiful and unique data visualizations

Representing complex data with charts and graphs is an essential part of the data analysis process, and R goes far beyond the traditional bar chart and line plot. Heavily influenced by thought leaders in data visualization like Bill Cleveland and Edward Tufte, R makes it easy to draw meaning from multidimensional data with multi-panel charts, 3-D surfaces and more. The custom charting capabilities of R are featured in many of the stunning infographics seen in the New York Times, The Economist, and the FlowingData blog.


Get better results faster

Instead of using point-and-click menus or inflexible “black-box” procedures, R is a programming language designed expressly for data analysis. Experienced R programmers create data analyses faster than users of legacy statistical software, with the flexibility to mix-and-match models for the best results. And R scripts are easily automated, promoting both reproducible research and production deployments.


Draw on the talents of data scientists worldwide

As a thriving open-source project, R is supported by a community of more than 2 million users and thousands of developers worldwide. Whether you’re using R to optimize portfolios, analyze genomic sequences, or to predict component failure times, experts in every domain have made resources, applications and code available for free, online.


Learn More:


© 2013 Revolution Analytics