SAS for R users : a book for budding data scientists

✍ Scribed by Ohri, Ajay

• Publisher: John Wiley & Sons
• Year: 2020
• Tongue: English
• Leaves: 200
• Edition: First edition
• Category: Library

✦ Synopsis

"This book will enable students and practitioners to easily switch from R to SAS and vice versa. R has better statistical and graphical tools, while SAS has faster data handling, is easier to learn and is the leading corporate software in analytics. This book builds a cross-functional framework for students who already know R but may need to work on SAS language in corporate environments. Using a simple how-to-do-it in a step-by-step way approach, the book presents an analytics workflow similar to those used by the everyday data scientist. The book is designed to be compatible with the latest R packages as well as SAS University Edition. It also includes advanced section for the reader who wishes to get a greater understanding of more advanced methods. The book will be useful to students, researchers, and practitioners globally as well as anyone looking to get a job in data science today"--  Read more...

Abstract: "This book will enable students and practitioners to easily switch from R to SAS and vice versa. R has better statistical and graphical tools, while SAS has faster data handling, is easier to learn and is the leading corporate software in analytics. This book builds a cross-functional framework for students who already know R but may need to work on SAS language in corporate environments. Using a simple how-to-do-it in a step-by-step way approach, the book presents an analytics workflow similar to those used by the everyday data scientist. The book is designed to be compatible with the latest R packages as well as SAS University Edition. It also includes advanced section for the reader who wishes to get a greater understanding of more advanced methods. The book will be useful to students, researchers, and practitioners globally as well as anyone looking to get a job in data science today"

✦ Table of Contents

Content: About SAS and R --
Data input, import and print --
Data inspection and cleaning --
Handling dates, strings, numbers --
Numerical summary and group by analysis --
Frequency distributions and cross tabulations --
Using SQL with SAS and R --
Functions, loops, arrays, macros --
Data visualization --
Data output --
Statistics for data scientists.

✦ Subjects

SAS (Computer program language);R (Computer program language);Statistics -- Data processing.