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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 pointandclicking 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
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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 pointandclick 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
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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 pointandclick 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
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The Popularity of PointandClick GUIs for R
Pointandclick 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 pointandclick 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 pointandclick graphical user interface (GUI). It also provides functions that combines the capabilities of many others, bringing a more SPSS or SASlike 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