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Happy New Year!

It's a brand new year, and the Revolutions blog is now three weeks into its sixth year. Hard to believe that a little over five years ago this was the only R-related blog; now there are more than 450 and the R project and the R community continue to thrive and grow.  To bring in the new year, I thought I'd take a look back at the 10 most popular R-related posts of 2013. In descending order starting with the post with the most pageviews in 2013, they are: Free e-book on Data Science with R Learn how to analyze data with R with Coursera's "Data Analysis" videos Statistics vs Data Science vs BI Visualize large data sets with the bigvis package Elements of Statistical Learning: free book download Trevor Hastie presents glmnet: lasso and elastic-net regularization in R Did an Excel error bring down the London Whale? Big Data Sets you can use with R Draw nicer Classification and Regression Trees with the rpart.plot package 10 R packages every data scientist should know about Some popular posts not directly related to R were Nate Silver addresses assembled statisticians at this year's JSM and A great example of Simpson's Paradox: US median wage decline. The most popular "Because its Friday" posts were Game of Thrones Family Trees and Ten Tech Tips from David Pogue. We've got plenty more to come in 2014: more guest bloggers, more data science and big data discussions, and of course much more R. I'd like to thank our many guest bloggers in 2013, especially Joe Rickert who featured several times in the top 10. I'd also like to thank my colleagues at Revolution Analytics for supporting this blog. And I'd especially like to thank the readers of this blog for insightful comments and great suggestions. Let us know what you'd like to see in the coming year the comments.

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More Stories By David Smith

David Smith is Vice President of Marketing and Community at Revolution Analytics. He has a long history with the R and statistics communities. After graduating with a degree in Statistics from the University of Adelaide, South Australia, he spent four years researching statistical methodology at Lancaster University in the United Kingdom, where he also developed a number of packages for the S-PLUS statistical modeling environment. He continued his association with S-PLUS at Insightful (now TIBCO Spotfire) overseeing the product management of S-PLUS and other statistical and data mining products.<

David smith is the co-author (with Bill Venables) of the popular tutorial manual, An Introduction to R, and one of the originating developers of the ESS: Emacs Speaks Statistics project. Today, he leads marketing for REvolution R, supports R communities worldwide, and is responsible for the Revolutions blog. Prior to joining Revolution Analytics, he served as vice president of product management at Zynchros, Inc. Follow him on twitter at @RevoDavid