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The SAS language is a fourth-generation computer programming language used for statistical analysis, created by Anthony James Barr at North Carolina State University. [1] [2] Its primary applications include data mining and machine learning.
SAS macros are pieces of code or variables that are coded once and referenced to perform repetitive tasks. [8] SAS data can be published in HTML, PDF, Excel, RTF and other formats using the Output Delivery System, which was first introduced in 2007. [9] SAS Enterprise Guide is SAS's point-and-click interface.
SEMMA is an acronym that stands for Sample, Explore, Modify, Model, and Assess. It is a list of sequential steps developed by SAS Institute, one of the largest producers of statistics and business intelligence software. It guides the implementation of data mining applications. [1]
The SAS Survival Handbook is a survival guide by British author and soldier, John Wiseman, first published by Williams Collins in 1986. Second, revised edition came out in 2009. [ 1 ] A digital app for smartphones based on the book is also available. [ 2 ]
SAS Institute (or SAS, pronounced "sass") is an American multinational developer of analytics and artificial intelligence software based in Cary, North Carolina. SAS develops and markets a suite of analytics software (also called SAS), which helps access, manage, analyze and report on data to aid in decision-making. The company's software is ...
President-elect Donald Trump announced Monday he plans to impose a 25% tariff on all products coming into the U.S. from Mexico and Canada as one of his first acts back in the White House.. On the ...
A Japanese sake maker is going where no sake maker has gone before: space. Asahi Shuzo, the company behind popular Japanese sake brand Dassai, plans to blast sake ingredients to the International ...
Like other decision trees, CHAID's advantages are that its output is highly visual and easy to interpret. Because it uses multiway splits by default, it needs rather large sample sizes to work effectively, since with small sample sizes the respondent groups can quickly become too small for reliable analysis. [citation needed]
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