Data processing in Sas, Spss, Stata, R and Python. A comparison
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https://hdl.handle.net/11250/3129460Utgivelsesdato
2023-01Metadata
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Sammendrag
When we are working with Statistical data we use software programs for data processing, analysis
and tabulation. Which software to choose is depending on different factors like financial matters,
management decisions, staff requests and so on. Five of the most commonly used software
packages are the commercial Sas, Spss and Stata and the non-commercial R and Python.
This document gives a brief comparison between these software packages on how to do basic data
processing for statistical surveys. It is meant to help employees who know one of the packages to
learn some basics of the other ones. This is needed if the company changes from one software to
another. It will also be useful for staff who co-operates with other companies who use other
software than he or she usually works with. We can also use it as an introduction to one or more of
the different softwares.
The versions used of the different software for this document are:
• Sas 9.4 M6
• Spss 27.0.1.0
• Stata 16.0
• R 4.0.0
• Python 3.10.5
As software always develop some of the program examples may be outdated when new versions
arrive.