The Curious Engineer

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Data Science Software Reviews

r4stats.com

Welcome to r4stats.com. This site's mission is to analyze the world of data science, help people learn to use R and review graphical user interfaces that make R easier to use. R is free, open-source software for data science that is similar to the "big three" commercial packages: SAS, SPSS, and Stat

AI / MLDev tools / editors / IDEsMath

’15’20’25
Posts
111 from 25 Apr 2012 to 4 Aug 2026
Posting
now and then (1 in the last year)
Kind
personal blog
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2026 1

  1. R GUI Comparison Update

2025 2

  1. BlueSky Statistics LLC Releases Third Edition of User Guide
  2. See New BlueSky Statistics Features at The Quality Show and ASQ

2024 4

  1. R GUI Reviews Updated
  2. BlueSky Statistics Version 10 is Not Open Source
  3. BlueSky Statistics Enhancements
  4. Minitab Alternative BlueSky Statistics to Display Graphical Interface to R at ASQ Conference

2023 3

  1. Ensure R Language Reproducibility with dateback Package
  2. See BlueSky Statistics GUI for R at JSM 2023
  3. Update to Data Science Software Popularity

2022 5

  1. Data Science Software Popularity Update
  2. Mayo Clinic Announces Move from SAS’ JMP to BlueSky Statistics
  3. Updated Comparison of R Graphical User Interfaces
  4. R Graphical User Interface Comparison
  5. A Comparative Review of the R-Instat GUI for R

2020 4

  1. BlueSky Statistics Intro and User Guides Now Available
  2. R GUI Update: BlueSky User’s Guide, New Features
  3. Updates to R GUIs: BlueSky, jamovi, JASP, & RKWard
  4. Biomedical Data Science Textbook Available

2019 11

  1. SAS Language Clone Now Free for Commercial Use
  2. A Comparative Review of the R AnalyticFlow GUI for R
  3. Is Scholarly Use of R Beating SPSS Already?
  4. New Versions of R GUIs: BlueSky, JASP, jamovi
  5. Data Science Jobs Report 2019: Python Way Up, Tensorflow Growing Rapidly, R Use Double SAS
  6. Comparing Point-and-Click Front Ends for R
  7. A Comparative Review of the JASP Statistical Software
  8. Data Science Software Used in Journals: Stat Packages Declining (including R), AI/ML Software Growing
  9. Data Science Software Reviews: Forrester vs. Gartner
  10. Gartner’s 2019 Take on Data Science Software
  11. Updated Review: jamovi User Interface to R

2018 11

  1. BlueSky Statistics 5.40 GUI for R Update
  2. A Comparative Review of the R Commander GUI for R
  3. A Comparative Review of the Rattle GUI for R
  4. A Comparative Review of the BlueSky Statistics GUI for R
  5. A Comparative Review of the Deducer GUI for R
  6. The Popularity of Point-and-Click GUIs for R
  7. A Comparative Review of the RKWard GUI for R
  8. A Review of Qualtrics, QuestionPro, REDCap, SurveyGizmo, & SurveyMonkey
  9. Using Excel for Data Entry
  10. Gartner’s 2018 Take on Data Science Tools
  11. jamovi for R: Easy but Controversial

2017 11

  1. Data Science Tool Market Share Leading Indicator: Scholarly Articles
  2. Dueling Data Science Surveys: KDnuggets & Rexer Go Live
  3. Group-By Modeling in R Made Easy
  4. Keeping Up with Your Data Science Options
  5. Python and R Vie for Top Spot in Kaggle Competitions
  6. The Tidyverse Curse
  7. Forrester’s 2017 Take on Tools for Data Science
  8. Jobs for “Data Science” Up 7-fold, for “Statistician” Down by Half
  9. Data Science Job Report 2017: R Passes SAS, But Python Leaves Them Both Behind
  10. Gartner’s 2017 Take on Data Science Software
  11. Knoxville, TN: R for Text Analysis Workshop

2016 6

  1. R Passes SAS in Scholarly Use (finally)
  2. Rexer Data Science Survey: Satisfaction Results
  3. R Training at Nicholls State University
  4. R’s Growth Continues to Accelerate
  5. Business Intelligence and Data Science Groups in East Tennessee
  6. Advanced Analytics Software’s Most Important Feature? Gartner Says it’s VCF

2015 14

  1. Using Discussion Forum Activity to Estimate Analytics Software Market Share
  2. Rexer Analytics Survey Results
  3. Goals for the New R Consortium
  4. Free Webinar: Intro to SparkR
  5. Estimating Analytics Software Market Share by Counting Books
  6. R #1 by Wide Margin in Latest KDnuggets Poll
  7. R Now Contains 150 Times as Many Commands as SAS
  8. I’ve Been Replaced by an Analytics Robot
  9. Stata’s Academic Growth Nearly as Fast as R’s
  10. Fastest Growing Software for Scholarly Analytics: Python, R, KNIME…
  11. Google Scholar Finds Far More SPSS Articles; Analytics Forecast Updated
  12. It’s Analytics Survey Time!
  13. Helping Your Organization Migrate to R
  14. r4stats.com 2014 in review

2014 17

  1. SAS is #1…In Plans to Discontinue Use
  2. Learning R: Live Webinar, Interactive Self-Paced, or Site Visit?
  3. Updated: Why R is Hard to Learn
  4. Adding the SPSS MEAN.n Function to R
  5. R Workshops Updated to Include the Latest Packages
  6. R Passes SPSS in Scholarly Use, Stata Growing Rapidly
  7. Knoxville R Users’ Group Meets September 3rd
  8. jpmml and R (Free Webinar)
  9. The RSelenium R Package (Free Webinar)
  10. How Valuable is a #1 Ranking for Analytics Software? Not as Much as You Might Think!
  11. JMBayes R package (webinar)
  12. R Continues Its Rapid Growth
  13. Learn to Manage Data at useR! 2014 or Online April 25
  14. SAS, SPSS, Stata Users: Learn R from Home April 21
  15. Analytics Software Popularity Update: Counting Blogs, Simplifying Job Searches
  16. r4stats.com 2013 in review
  17. Job Trends in the Analytics Market: New, Improved, now Fortified with C, Java, MATLAB, Python, Julia and Many More!

2013 14

  1. Learn R and/or Data Management from Home January or April
  2. Knoxville R User’s Group Meeting November 1
  3. What R Has Been Missing
  4. Learn R and/or Data Management from Home October 7-11
  5. Trends in the Analytics Job Market
  6. Webinar: Managing Data with R
  7. SAS Dominates Analytics Job Market; R up 42%
  8. Forecast Update: Will 2014 be the Beginning of the End for SAS and SPSS?
  9. SAS, SPSS, Stata Users: Learn R from Home June 17
  10. Knoxville R Users Group Formed, Free Training Offered
  11. R Tackles Big Garbage
  12. R’s 2012 Growth in Capability Exceeds SAS’ All Time Total
  13. What Analytic Software are People Discussing?
  14. Comparing Transformation Styles: attach, transform, mutate and within

2012 8

  1. R for SAS, SPSS, Stata Users Workshop Redesigned
  2. Specifying Variables in R
  3. SAS Beats R on July 2012 TIOBE Rankings
  4. Why R is Hard to Learn
  5. Poll Shows Open Source Almost Even with Commercial Analytics Software
  6. Will 2015 be the Beginning of the End for SAS and SPSS?
  7. Things I’ve Learned About WordPress.com
  8. Trying Out WordPress