Poll Results: R share of analytics work

There is a bi-polar distribution, with 36% not using R at all, and 34% using R for more than half of their analytics work. European data miners are more likely to be using R for a majority of their work. Many useful links were suggested.

The previous KDnuggets Poll asked:
What part of your analytics / data mining work in the past 12 months was done in R?

This was one of the more popular recent polls, with 360 voters. The poll results suggest a bi-polar distribution, with 36% not using R, and 34% using R for more than half of their analytics work. Most people use R in conjunction with other tools, and below is a great wealth of links about them.

What part of your analytics / data mining work in the past 12 months was done in R?
None	36%
1-25%	20%
26-50%	10%
51-100%	34%

Regional analysis shows that European data miners are more likely to be using R for a majority of their work.

US/Canada: 48%
Europe: 35%
Other: 17%

Tim Goh lists many R user interfaces, including
core R interface, scripts & command line, Rattle, R Commander, Red-R (based on Orange and R), RevolutionAnalytics, RKWard, RStudio, RapidMiner (with R extension), Eclipse with Stat-ET, IBM SPSS Modeler (with R interface), JGR (Java GUI for R, pronounced "jaguar"), KNIME (with R extension), PMG (Poor man's GUI), Quick-R, SAS (with R interface), SciViews-R, and more...

Here are the full results of KDnuggets Poll:
What part of your analytics / data mining work in the past 12 months was done in R?

including comments on R interfaces, and R integration with RapidMiner and other tools.