SAS Programming and Data Visualization Techniques: A Power User's Guide - Philip R Holland (August 2015)

  • SAS Programming and Data Visualization Techniques: A Power User’s Guide brings together a wealth of ideas about strategic and tactical solutions to everyday situations experienced when transferring, extracting, processing, analyzing, and reporting the valuable data you have at your fingertips. Best, you can achieve most of the solutions using the SAS components you already license, meaning that with this book’s insights can keep you from throwing money at problems needlessly.

Among other things, SAS Programming and Data Visualization Techniques: A Power User’s Guide will show you:

How to write efficient and reusable SAS code

How to combine look-up data sets with larger data sets effectively

How to run R and Perl from SAS

How to run SAS programs from SAS Studio and Enterprise Guide

How to output data into insightful, valuable charts and graphs

SAS Programming and Data Visualization Techniques: A Power User’s Guide allows you to make better use of your existing SAS components by learning to use the newest features, improve your coding efficiency, help you develop applications that are easier to maintain, and make data analysis easier. In other words, it will save you time, money, and effort—and make you a more valuable member of the development team.

You'll learn about the following:

  • How to write more efficient SAS code—either code that runs quicker, code that is easier to maintain, or both

  • How to do more with the SAS

  • How to take advantage of the newest features in SAS

  • How to interface external applications with SAS software

  • How to create graphs using SAS ODS Graphics

eBook and paperback editions are now available from Apress.com, Amazon.com, Amazon.co.uk and major bookstores.

Note that, if you buy the paperback edition of the book, then you can buy all versions of the ebook from Apress for just $5 extra. Click the Apress link below for more details.

See www.hollandnumerics.com for links, podcasts and details.

ISBN: 978-1-4842-0569-3 (paperback), 978-1-4842-0568-6 (ebook).

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