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Analytics | Learn SAS | Programming Tips
Noah Han 0
SoDA로 데이터 과학 시작하기

SoDA를 이용해 쉽게 배우는 데이터 과학 #1 SoDA(SAS OnDemand for Academics)는 SAS가 무료로 제공하는 교육용 데이터 분석 소프트웨어 프로그램입니다. 앞으로 4회에 걸쳐 'SoDA 를 이용해 쉽게 배우는 데이터 과학'을 자세히 소개해 드리도록 하겠습니다.  SoDA란? SoDA (SAS OnDemand for Academics; SoDA)는 데이터 과학을 처음 배우는 입문자들에게 SAS를 무료로 배울 수 있도록

Learn SAS | Programming Tips
Rick Wicklin 0
The joy of sets

The fundamental operations on sets are union, intersection, and set difference, all of which are supported directly in the SAS IML language. While studying another programming language, I noticed that the language supports an additional operation, namely the symmetric difference between two sets. The language also supports query functions to

Analytics | Learn SAS | Programming Tips
Rick Wicklin 0
Should you use the Wald confidence interval for a binomial proportion?

The "Teacher’s Corner" of The American Statistician enables statisticians to discuss topics that are relevant to teaching and learning statistics. Sometimes, the articles have practical relevance, too. Andersson (2023) "The Wald Confidence Interval for a Binomial p as an Illuminating 'Bad' Example," is intended for professors and masters-level students in

Analytics | Learn SAS | Students & Educators | Work & Life at SAS
Ariane Liger-Belair 0
SAS Spring Campus – une transition en douceur vers la vie professionnelle

Vous vous rappelez ce premier jour du reste de votre vie professionnelle ? Vous avez fini les cours, les examens, ces années d’organisation libre. Tout d’un coup, vous devez intégrer une entreprise. Comprendre le fonctionnement du monde corporate, avec toutes ses particularités. Cela peut être source d’angoisse – et c’est la

Analytics | Learn SAS
Rick Wicklin 0
Why use rank correlation?

A previous article discusses rank correlation and lists some advantages of using rank correlation. However, the article does not show examples where an analyst might prefer to report the rank correlation instead of the traditional Pearson product-moment correlation. This article provides three examples where the rank correlation is a better

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