Hello IBM Community,
For years, I have used R, SAS, JMP, and SPSS, and am currently learning Python.
I learned SPSS as an undergraduate and learned a few more things using SPSS in graduate school, and have always found those things easier to do in SPSS than other formats like R, Python, JMP or SAS most likely, because I first learned them in SPSS. I am wondering if there are things you have found that are easier to do in SPSS than SAS, R, or Python, or, if it is because you first learned them in SPSS.
I feel that visualizations are substantially better in R and Python, and maybe even JMP or SAS, and am wondering what other competitive advantages SPSS offers over these statistical solutions beyond being someone's first programming language.
Any ideas or feedback you have is welcome in my justification for why I should keep purchasing SPSS in addition to other software solutions.
John Barnshaw, Ph.D.
Associate Vice President
Research and Statistics
O: 913.652.4143 | M: 704.560.0229
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