The results are in for the 2013 KDnuggets survey of “programming/statistics languages being used for analytics / data mining / data science work.” I respond annually and track year-to-year changes. For 2013, the leading vote getters -- R, Python, and SQL – are, along with Tableau for visualization, also my top data science tools. I’d like to think I’m a bellwether, but suspect I’m instead more the dutiful follower.

Much as I’m gratified that R and Python set the analytic pace in the KDnuggets poll, I’m generally skeptical of online surveys for measuring the pulse of a tech population, with self-selected rather than representative response samples the rule. I suspect there’s a fair amount of bias in this year’s votes, the typical KDnuggets engager, like me, pre-disposed towards open source and programming language solutions. Run a similar survey at the SAS Global Forum and you’re likely to see a quite different breakdown. All in all, though, the findings fit my analytics worldview nicely.

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