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SAS for R usersa book for budding da...

Ohri, A.

SAS for R usersa book for budding data scientists /

Record Type:	Electronic resources : Monograph/item
Title/Author:	SAS for R usersAjay Ohri.
Reminder of title:	a book for budding data scientists /
Author:	Ohri, A.
Published:	Hoboken, NJ :John Wiley & Sons,2020.
Description:	1 online resource.
Subject:	SAS (Computer program language)
Online resource:	https://onlinelibrary.wiley.com/doi/book/10.1002/9781119256441
ISBN:	9781119256441$q(electronic bk.)

SAS for R usersa book for budding data scientists /
Ohri, A.

SAS for R usersa book for budding data scientists /[electronic resource] :Ajay Ohri. - 1st ed. - Hoboken, NJ :John Wiley & Sons,2020. - 1 online resource.

Includes bibliographical references and index.

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.

"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"--

ISBN: 9781119256441$q(electronic bk.)Subjects--Topical Terms:

507080
SAS (Computer program language)

LC Class. No.: QA76.73.S27

Dewey Class. No.: 005.5/5

SAS for R usersa book for budding data scientists /
LDR:02110cmm a2200265 a 4500 001 606170
003 OCoLC
005 20190927031201.6
006 m o d
007 cr cnu---unuuu
008 211203s2020 nju ob 001 0 eng d
020 $a 9781119256441$q(electronic bk.)
020 $z 9781119256410$q(pbk.)
035 $a 1104872496
040 $a DLC $b eng $c DLC $d OCLCO $d OCLCF $d DG1
050 0 0 $a QA76.73.S27
082 0 0 $a 005.5/5 $2 23
100 1 $a Ohri, A. $3 702876
245 1 0 $a SAS for R users $h [electronic resource] : $b a book for budding data scientists / $c Ajay Ohri.
250 $a 1st ed.
260 $a Hoboken, NJ : $b John Wiley & Sons, $c 2020.
300 $a 1 online resource.
504 $a Includes bibliographical references and index.
505 0 $a 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.
520 $a "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"-- $c Provided by publisher.
588 $a Description based on print version record.
650 0 $a SAS (Computer program language) $3 507080
650 0 $a R (Computer program language) $3 210846
650 0 $a Statistics $x Data processing. $3 183693
856 4 0 $u https://onlinelibrary.wiley.com/doi/book/10.1002/9781119256441