
Search r4stats.com

Recent Posts

Subscribe to r4stats.com
Category Archives: SAS
Data Science Jobs Report 2019: Python Way Up, Tensorflow Growing Rapidly, R Use Double SAS
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
Posted in Analytics, Data Science, Python, R, SAS, SPSS, Stata, Statistics
4 Comments
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
Posted in Analytics, Data Science, Python, R, SAS, SPSS, Stata, Statistics, Uncategorized
3 Comments
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 regularlyupdated article, The Popularity of Data Science Software. Continue reading
Posted in Analytics, Data Science, R, SAS, SPSS, Statistics, Uncategorized
2 Comments
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
Posted in Analytics, Data Science, Python, R, SAS, SPSS, Statistics, Uncategorized
Tagged Data Science, Machine Learning, Statistics
3 Comments
Using Excel for Data Entry
This article shows you how to enter data so that you can easily open in statistics packages such as R, SAS, SPSS, or jamovi (code or GUI steps below). Excel has some statistical analysis capabilities, but they often provide incorrect answers. For … Continue reading
Posted in Data Science, R, SAS, SPSS
4 Comments
Gartner’s 2018 Take on Data Science Tools
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
Posted in Analytics, Data Science, Python, R, SAS, Statistics, Uncategorized
3 Comments
jamovi for R: Easy but Controversial
[An updated version of this post is located here.] jamovi is software that aims to simplify two aspects of using R. It offers a pointandclick graphical user interface (GUI). It also provides functions that combines the capabilities of many others, … Continue reading
Posted in Data Science, R, SAS, SPSS, Statistics, Uncategorized
9 Comments
Data Science Tool Market Share Leading Indicator: Scholarly Articles
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
Posted in Analytics, Data Science, Python, R, SAS, SPSS, Stata, Statistics, Uncategorized
5 Comments
Dueling Data Science Surveys: KDnuggets & Rexer Go Live
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
Posted in Data Science, Python, R, SAS, Statistics
4 Comments
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
Posted in Analytics, Data Science, R, SAS, SPSS
2 Comments