Hi John,
I've used SPSS, R and Python.
The main advantage of SPSS is that you don't need to have programming skills in order to use it, you could just focus on finding the right model for your data.
On the other hand, you need to know how to code in R or Python in order to use one of them, but the main advantage of those programming languages is the flexibility. Both Python and R are open source, relative easy to learn and there is a big community of programmers who help each other in forums.
I usually switch between SPSS and Python (I haven't been using R lately because I wanted to learn Python) and I like to use Python for big data sets.
PySpark is the Python API for Spark and it's great for handling big data.
Finally, for graphics and reports I definitely prefer Python (or R). With the library
Plotly you can plot nice graphs and it's available for Python and R. For reports I like
Jupyter Notebooks where you can write text and add graphics using Markdown but you can also write and run code in the same file!
In IBM Cloud you can use
Watson Studio where you can create projects, use
Jupyter Notebooks, the IDE Rstudio, and add resources from the IBM Cloud Catalog.
------------------------------
Best,
Raquel Vargas
Presales Data Scientits
IBM Ecuador
------------------------------
Original Message:
Sent: 01-11-2019 01:47 PM
From: John Barnshaw
Subject: IBM v. SAS v. R v. Python
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.
Regards,
John
John Barnshaw, Ph.D.
Associate Vice President
Research and Statistics
Ad Astra
O: 913.652.4143 | M: 704.560.0229
jbarnshaw@aais.com
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