Category Archives: Data Science

A Comparative Review of the R Commander GUI for R

Introduction The R Commander is a free and open source user interface for the R software, one that focuses on helping users learn R commands by point-and-clicking their way through analyses. The R Commander is available on Windows, Mac, and Linux; there is … Continue reading

Posted in Data Science, Graphical User Interfaces, R | 1 Comment

A Comparative Review of the Rattle GUI for R

Introduction Rattle is a popular free and open source Graphical User Interface (GUI) for the R software, one that focuses on beginners looking to point-and-click their way through data mining tasks. Such tasks are also referred to as machine learning or predictive analytics. … Continue reading

Posted in Data Science, Graphical User Interfaces, R, Statistics | Leave a comment

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

Posted in Analytics, Data Mangement, Data Science, Graphical User Interfaces, Graphics, R, Statistics | 1 Comment

The Popularity of Point-and-Click GUIs for R

  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

Posted in Data Science, Graphical User Interfaces, R, Statistics | 2 Comments

A Comparative Review of the RKWard GUI for R

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

Posted in Data Science, Graphical User Interfaces, R, 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

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

Posted in Data Science, R, SAS, SPSS, Statistics, Uncategorized | 8 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 | 4 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

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