I once used Excel for basic data analysis at work, but lately, I’ve heard a lot about SAS. I’m curious to know more. Can someone explain what SAS is used for and how it compares to other tools like Excel?
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SAS is a powerful analytics software widely employed across various sectors, including healthcare, finance, and retail. Its key applications encompass advanced analytics, data management, and business intelligence. With SAS, organizations can extract valuable insights from data, optimize processes, and make informed decisions.
Compared to Excel, which is better for basic data tasks, SAS offers more powerful tools for in-depth analysis and automation of data processes.
Some of you may find this shocking, but SAS excels at statistical analysis.
One feature I enjoy using PROC statements, such as ARIMA, is the automatic generation of outputs such as correlation graphs and residuals. In Python or R, on the other hand, additional lines of code must be explicitly written in order to create figures, subplots, plot this line, plot that line, and so on.
Additionally, their documentation is excellent. Although there are always trade-offs, I’ve come across a number of open-source Python and R projects that are no longer maintained. Having saying that, I do prefer Python the most because of its greater versatility.
Howdy James ! SAS is an analytics software used by a number of sectors, including healthcare, finance and retail. It is used for advanced analytics, data management and business intelligence . SAS has a strong market share in the analytics software market, with a significant presence in the healthcare sector.
SAS is a command-driven software package used for statistical analysis and data visualization. It is available only for Windows operating systems. It is arguably one of the most widely used statistical software packages in both industry and academia.
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SAS is an integrated software suite for advanced analytics, business intelligence, data management, and predictive analytics.