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

Posted in SAS | Comments Off on Data Science Tool Market Share Leading Indicator: Scholarly Articles

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

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)