SAS is the most accessible tool to learn. VariablesFunctionsNested rulesMixinsMaintainableĭata analysisHighly interactiveFlexible statistical analysis SAS offers easy debugging methods and techniques.ĭebugging is quite a tricky technique and method. R grants advanced deep learning integrations for better usages. The graphical support of the R tool is quite poor.ĭeep Learning is still at the initial stages, so it needs a lot to work on before it matures. R is an open-source tool that is why it keeps on updated. SAS provides a robust package that offers all kinds of statistical analysis and methods.īeing an open-source tool, it enables the users to submit their libraries/packages. R is open-source software that anyone can use. Major difference between SAS and R (Tabular form) Parameter ![]() Therefore, it is always good to learn it if you are a beginner. ![]() Moreover, it is easy to understand and learn. ![]() That is why there are big companies that are still using this software. It is mitigated with the support/integration of R on the platforms such as Tableau and HANA. Well, it has been seen that SAS has numerous advantages, and one of the best usages is that it can deploy end-to-end infrastructure (like Data warehouse, reporting, and analytics, Visual Analytics, Data quality). SAS popularity is decreasing, so should I learn it in 2021?
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