A survival guide to Data Science with R, from Graham Williams

February 21, 2014

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

Graham Williams is the Lead Data Scientist at the Australian Taxation Office, and the creator of Rattle, an open-source GUI for data mining with R. (Check out some recent reviews/demos of Rattle on this blog here and here.) Dr Williams continues his many contributions to the R community with One Page R, a "Survival Guide to Data Science with R". 

As the name suggests, it is a one-page listing of key topics for data scientists using R: getting started, dealing with data, descriptive and prescriptive analytics, and other advanced topics. But the name belies the depth of content behind that one page: click through for detailed tutorials on topics including visualizing data with maps, text mining with R, ensembles of decision trees, and much much more. Some topics also include slide-based lecture notes and downloadable R code (follow the *R link).

Explore the content at the One Page R website lined below. And if you're in the NYC area, Dr Williams will be presenting at a free workshop for the CUNY Data Mining Initiative on March 7.

Togaware: One Page R: A Survival Guide to Data Science with R (via KDnuggets)

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