Introduction BlueSky Statistics’ desktop version is a free and open source graphical user interface for the R software that focuses on beginners looking to point-and-click their way through analyses.  A commercial version is also available which includes technical support and a … Continue reading →

Introduction Deducer is a free and open source Graphical User Interface for the R software, one that provides beginners a way to point-and-click their way through analyses. It also integrates into an environment designed to help programmers be more productive. … Continue reading →

  Point-and-click graphical user interfaces (GUIs) for R allow people to analyze data using the R software, without having to learn how to program in the R language. This is a brief look at how popular each one is. Knowing … Continue reading →

Introduction RKWard is a free and open source Graphical User Interface for the R software, one that supports beginners looking to point-and-click their way through analyses, as well as advanced programmers. You can think of it as a blend of … Continue reading →

I’ve just updated The Popularity of Data Science Software to reflect my take on Gartner’s 2018 report, Magic Quadrant for Data Science and Machine Learning Platforms. To save you the trouble of digging though all 40+ pages of my report, … Continue reading →

jamovi is software that aims to simplify two aspects of using R. It offers a point-and-click graphical user interface (GUI). It also provides functions that combines the capabilities of many others, bringing a more SPSS- or SAS-like method of programming … Continue reading →

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 →

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 →

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 →

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 →

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 →

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 →

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 →

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 →

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 →

I’m finally getting around to overhauling the Discussion Forum Activity section of The Popularity of Data Analysis Software. To save you the trouble of reading all 43 pages, I’m posting just this section below. Discussion Forum Activity Another way to measure … Continue reading →

Rexer Analytics has released preliminary results showing the usage of various data science tools. I’ve added the results to my continuously-updated article, The Popularity of Data Analysis Software. For your convenience, the new section is repeated below. Surveys of Use One … Continue reading →