Blog Archives

Group-By Modeling in R Made Easy

April 18, 2017
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Group-By Modeling in R Made Easy

There are several aspects of the R language that make it hard to learn, and repeating a model for groups in a data set used to be one of them. Here I briefly describe R’s built-in approach, show a much … Continue reading →

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Keeping Up with Your Data Science Options

April 12, 2017
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Keeping Up with Your Data Science Options

The field of data science is changing so rapidly that it’s quite hard to keep up with it all. When I first started tracking The Popularity of Data Science Software in 2010, I followed only ten packages, all of them classic … Continue reading →

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Python and R Vie for Top Spot in Kaggle Competitions

April 4, 2017
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Python and R Vie for Top Spot in Kaggle Competitions

I’ve just updated the Competition Use section of The Popularity of Data Science Software. Here’s just that section for your convenience. Competition Use Kaggle.com is a web site that sponsors data science contests. People post problems there along the amount … Continue reading →

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The Tidyverse Curse

March 23, 2017
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I’ve just finished a major overhaul to my widely read article, Why R is Hard to Learn. It describes the main complaints I’ve heard from the participants to my workshops, and how those complaints can often be mitigated. Here’s the only … Continue reading →

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Forrester’s 2017 Take on Tools for Data Science

March 16, 2017
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Forrester’s 2017 Take on Tools for Data Science

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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Jobs for “Data Science” Up 7-fold, for “Statistician” Down by Half

March 14, 2017
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Jobs for “Data Science” Up 7-fold, for “Statistician” Down by Half

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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Data Science Job Report 2017: R Passes SAS, But Python Leaves Them Both Behind

March 1, 2017
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Data Science Job Report 2017: R Passes SAS, But Python Leaves Them Both Behind

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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Gartner’s 2017 Take on Data Science Software

February 23, 2017
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Gartner’s 2017 Take on Data Science Software

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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Knoxville, TN: R for Text Analysis Workshop

January 20, 2017
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Knoxville, TN: R for Text Analysis Workshop

The Knoxville R Users Group is presenting a workshop on text analysis using R by Bob Muenchen. The workshop is free and open to the public. You can join the group at https://www.meetup.com/Knoxville-R-Users-Group. A description of the workshop follows. R for … Continue reading →

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R Passes SAS in Scholarly Use (finally)

June 8, 2016
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R Passes SAS in Scholarly Use (finally)

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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