According to Hyndman and Fan ("Sample Quantiles in Statistical Packages," TAS, 1996), there are nine definitions of sample quantiles that commonly appear in statistical software packages. Hyndman and Fan identify three definitions that are based on rounding and six methods that are based on linear interpolation. This blog post shows

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Tags: data analysis, R, Uncategorized

Posted in SAS | Comments Off on Sample quantiles: A comparison of 9 definitions

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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Tags: data science, python, R, SAS, Statistics

Posted in SAS | Comments Off on Dueling Data Science Surveys: KDnuggets & Rexer Go Live

In my ongoing quest to track The Popularity of Data Science Software, I’ve updated the discussion of the annual report from Forrester, which I repeat here to save you from having to read through the entire document. If your organization … Continue reading →

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Posted in SAS | Comments Off on Forrester’s 2017 Take on Tools for Data Science

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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Tags: analytics, data science, R, SAS, Statistics, Uncategorized

Posted in SAS | Comments Off on Jobs for “Data Science” Up 7-fold, for “Statistician” Down by Half

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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Tags: analytics, data science, R, SAS, SPSS, Statistics, Uncategorized

Posted in SAS | Comments Off on Data Science Job Report 2017: R Passes SAS, But Python Leaves Them Both Behind

In my ongoing quest to track The Popularity of Data Analysis Software, I’ve finally decided to change the title to use the newer term “data science”. The 2017 version of Gartner’s Magic Quadrant for Data Science Platforms was just published, … Continue reading →

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Tags: analytics, data science, R, SAS, SPSS, Uncategorized

Posted in SAS | Comments Off on Gartner’s 2017 Take on Data Science Software

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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Tags: analytics, data science, R, SAS, SPSS, Stata, Statistics, Uncategorized

Posted in SAS | Comments Off on R Passes SAS in Scholarly Use (finally)

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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Tags: analytics, data science, R, SAS, SPSS, Statistics, Uncategorized

Posted in SAS | Comments Off on Rexer Data Science Survey: Satisfaction Results