In my ongoing quest to track The Popularity of Data Science Software, I’ve just updated my analysis of the job market. To save you from reading the entire tome, I’m reproducing that section here. Continue reading →
Category: Analytics
Comparing Point-and-Click Front Ends for R
Now that I’ve completed seven detailed reviews of Graphical User Interfaces (GUIs) for R, let’s try to compare them. It’s easy enough to count their features and plot them, so let’s start there. Continue reading →
Data Science Software Used in Journals: Stat Packages Declining (including R), AI/ML Software Growing
In my neverending quest to track The Popularity of Data Science Software, it’s time to update the section on Scholarly Articles. The rapid growth of R could not go on forever and, as you’ll see below, its use actually declined … Continue reading →
Data Science Software Reviews: Forrester vs. Gartner
In my previous post, I discussed Gartner’s reviews of data science software companies. In this post, I show Forrester’s coverage and discuss how radically different it is. As usual, this post is already integrated into my regularly-updated article, The Popularity of Data Science Software. Continue reading →
Gartner’s 2019 Take on Data Science Software
I’ve just updated The Popularity of Data Science Software to reflect my take on Gartner’s 2019 report, Magic Quadrant for Data Science and Machine Learning Platforms. To save you the trouble of digging through all 40+ pages of my report, here’s just the updated section: Continue reading →
Updated Review: jamovi User Interface to R
Last February I reviewed the jamovi menu-based front end to R. I’ve reviewed five more user interfaces since then, and have developed a more comprehensive template to make it easier to compare them all. Now I’m cycling back to jamovi, … Continue reading →
BlueSky Statistics 5.40 GUI for R Update
It has been just a few months since I reviewed five free and open-source point-and-click graphical user interfaces (GUIs) to the R language. I plan to keep those reviews up to date as new features are added. BlueSky’s interface would … Continue reading →
A Comparative Review of the BlueSky Statistics GUI for R
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 →