The R Project
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Douglas Merrill , former CIO/VP of Engineering at Google, writes in Forbes about using the R language for data analysis: Most folks with math-oriented graduate degrees will have written something in R, a non-commercial option for your big data analysis. So, great graduates from great graduate schools know great tools. His post is titled 'R Is Not Enough For "Big Data" ', and you might be surprised to learn that I agree that title, although for a different reason. Douglas's point — and it's a valid one — is that simply pumping data through any software tool, without an understanding of the problem you're trying to solve and how statistical models apply to it, can lead to getting the wrong answers to the wrong questions:
Revolutions
Visualization | R-statistics blog
About Clustergrams In 2002, Matthias Schonlau published in “The Stata Journal” an article named “ The Clustergram: A graph for visualizing hierarchical and . As explained in the abstract:
An Introduction to R This is an introduction to R (“GNU S”), a language and environment for statistical computing and graphics. R is similar to the award-winning S system, which was developed at Bell Laboratories by John Chambers et al.
An Introduction to R
refine - Google Refine, a power tool for working with messy data (formerly Freebase Gridworks) - Google Project Hosting
Google Refine is a power tool for working with messy data, cleaning it up, transforming it from one format into another, extending it with web services, and linking it to databases like Freebase .