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The R Language & Big Data

Surveys continue to rank R #1 for Data Mining

KDnuggets recently posted its annual poll on data mining software, and the R language retains its #1 ranking as the most commonly-used software for data mining: R is now used by 52.5% of poll respondents, compared with 45% last year.



Donnie Berkholz provides an analysis of the year-on-year trends for Redmonk. He provides the chart below, and notes "the general trend of newer, open-source languages growing at varying speeds (Python followed by R and Hadoop-based options like Hive/Pig), while older languages including Java, SAS, and Matlab are bleeding users".





Meanwhile, the recently-released Rexer Analytics 2011 Data Miner Survey also ranks R #1 amongst data miners overall, and also for corporate, consulting, academic and government use:



Rexer Analytics has conducted their survey since 2007, which provides perspective on the growth of R for data mining over the past five years:



The complete report of the Rexer Data Mining Survey is available on request from Rexer Analytics.

If you're interested in using R for data mining, check out the Revolution Analytics webinar, Introduction to to  R for Data Mining.

Read the original blog entry...

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

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