Posts Tagged ‘ Statistics ’

Below is the latest update to The Popularity of Data Science Software. It contains an analysis of the tools used in the most recent complete year of scholarly articles. The section is also integrated into the main paper itself. New … Continue reading →
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What tools do we use most for data science, machine learning, or analytics? Python, R, SAS, KNIME, RapidMiner,…? How do we use them? We are about to find out as the two most popular surveys on data science tools have … Continue reading →
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The Bureau of Labor Statistics projects that jobs for statisticians will grow by 34% between 2014 and 2024. However, according to the nation’s largest job web site, the number of companies looking for “statisticians” is actually in sharp decline. Those … Continue reading →
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I’ve just updated another section of The Popularity of Data Science Software. It is reproduced below to save you the trouble of reading the entire article. If your organization is looking for training in the R language, you might consider my … Continue reading →
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I recently read a very interesting article describing how analytics is being used to detect cheating/copying/re-use in crossword puzzle creation, in some of the major news publications. This inspired me to try my hand at creating a totally new & unique crossword puzzle ... of course using SAS software! :) My grandmother

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Way back in 2012 I published a forecast that showed that the use of R for scholarly publications would likely pass the use of SAS in 2015. But I didn’t believe the forecast since I expected the sharp decline in SAS … Continue reading →
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by Bob Muenchen I previously reported on the initial results of Rexer Analytics’ 2015 survey of data science tools here. More results are now available, and the comprehensive report should be released soon.  One of the more interesting questions on the survey … Continue reading →
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In “Explaining statistical methods to the terrified & disinterested: A focus on metaphors”, I discuss the usefulness of metaphors for explaining abstract statistical concepts to non-technical readers. This is an approach taken in my new SAS Press book, Business Statistics Made Easy in SAS®, since many readers of this level

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