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What are the sample sizes (per skill) in this study? Did they sample from people having a resume on Dice? Most IT people no longer have a resume on Dice, the few still there do not represent the typical IT guy. Also, are these self-reported salaries? If yes, there might be inflated. Are the salary differences due to other factors such as location? It could be that there are more R people in the Bay Area, or more R people that are senior or with college degree - three factors that can explain higher salary. Or R is a proxy for Data Science, which is the real cause for higher salaries. Are these numbers corroborated by other sources such as PayScale or Indeed.com? Also, what if you have multiple skills, say R and SQL, how is this handled in the survey?

Finally, I notice that the salary went up 1.6% year-to-year for NoSQL, but 5.6% down for Hadoop (which is a NoSQL framework). So what part of NoSQL went up, since Hadoop (a major component, along with graph databases) went down?

Here's the article:

Two recent salary surveys have shown that R language skills attract median salaries in excess of $110,000 in the United States. 

In the 2014 Dice Tech Salary Survey of over 17,000 technology professionals, the highest-paid IT skill was R programming. While big-data skills in general featured strongly in the top tier, having R at the top of the list reflects the strong demand for skills to make sense of, and extract value from big data.

Dice Salary Survey 2014

Similarly, the recent O'Reilly Data Scientist Survey also found R skills amongst those that pay in the $110,000-$125,000 range (albeit amongst a much smaller and specialized sample of respondents).

OReilly Data Scientist Survey

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