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The open-source R language is the most frequently used analytics / data science software, selected by 49% of the 2895 voters of the 2016 KDNuggets Software Poll. (R was also the top selection in last year's poll.) Python was a close second at 45.8%, and SQL was third at 35.5%.

There is, and always has been, a lot of strife in the world related to how people perceive "nationality" and "other". This moving video suggests that perhaps there might be less strife in only we all knew the nationalities of our ancestors via DNA testing.


Randy George, an expert in web map applications, has been fascinated with computer graphics (especially maps) since the early '80s. For much of that time, he says, the technology for mapping has been pretty static:

In case you missed them, here are some articles from May of particular interest to R users. 

A 3-part tutorial on principal components regression in R: part 1part 2, and part 3.

Ross Ihaka, one of the co-creators of R (along with Robert Gentleman), recently gave an interview to the University of Auckland's alumni magazine, Ingenio. In the article, he shares the story of the genesis of R in the early 1990s:

I have a recurring habit of "discovering" things that 1) aren't new and 2) weren't that hard to find in the first place. For years I thought Buca di Beppo's was a quirky, family-run restaurant in Seattle before discovering it was a nationwide chain. I'm forever doing the same thing with music; hearing what I think to be a new song, only to find it's been around for years and was probably hugely popular at the time. Nonetheless, here are a few of my favourite recent non-discoveries.

As more settlements in Texas and France are impacted by severe flooding, this is a good time to thank the hydrologists at the NOAA who forecast river level rises in advance and give residents in affected areas time to move to higher ground.