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Author Holland, Philip R., author.

Title SAS programming and data visualization techniques : a power user's guide / Philip R. Holland.

Published [Berkeley, CA] : Apress, [2015]


Location Call No. Status
Physical description 1 online resource (xxi, 245 pages)
Series The expert's voice in SAS programming and data visualization
Expert's voice in SAS programming and data visualization.
Springer English/International eBooks 2015 - Full Set
Notes Includes index.
Bibliography Includes bibliographical references and index.
Contents Part One: Programming Efficiency Techniques -- Chapter 1: The Basics of Efficient SAS Coding -- Chapter 2: How to Use Look-up Tables Effectively -- Chapter 3: Case: SAS Skills in Epidemiology -- Part Two: External Interfaces -- Chapter 4: SAS to R to SAS -- Chapter 5: Knit Perl and SAS for DIY Web Applications -- Chapter 6: Case: Running Clinical Trials Programs in Enterprise Guide -- Chapter 7: Running SAS Programs in SAS Studio -- Chapter 8: Everyday Uses for SAS Output Delivery System (ODS) -- Part Three: Data Visualization -- Chapter 9: Introduction to Graph Templates -- Chapter 10: Introduction to ODS Graphics Procedures -- Chapter 11: Generating Graph Templates -- Chapter 12: Converting SAS/GRAPH Plots to ODS Graphics -- Chapter 13: Customizing Graph Templates -- Chapter 14: ODS GRAPHICS Statement.
Summary 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 this book?s insights can keep you from throwing money at problems needlessly. Author Philip R. Holland advises a broad range of clients throughout Europe and the United States as an independent consultant and founder of Holland Numerics Ltd, a SAS technical consultancy. In this book he explains techniques?through code samples and example?that will enable you to increase your knowledge of all aspects of SAS programming, improve your coding productivity, and interface SAS with other programs. He also provides an expert?s overview of Graph Templates, which was recently moved into Base SAS. You will learn to create attractive, standardized, reusable, and platform-independent graphs?both statistical and non-statistical?to help you and your business users explore, visualize, and capitalize on your company?s data. In addition, you will find many examples and cases pertaining to healthcare, finance, retail, and other industries. Among other things, SAS Programming and Data Visualization Techniques will show you how to: Write efficient and reus able SAS code Combine look-up data sets with larger data sets effectively Run R and Perl from SAS Run SAS programs from SAS Studio and Enterprise Guide Output data into insightful, valuable charts and graphs SAS Programming and Data Visualization Techniques prepares 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. What You'll Learn 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 components you already license 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 Who This Book Is For SAS programmers wanting to improve their existing programming skills, and programming managers wanting to make better use of the SAS software they already license. .
Other author SpringerLink issuing body.
Subject SAS (Computer file)
SAS (Computer program language)
Information visualization.
Electronic books.
Electronic books.
ISBN 9781484205686
1484205693 (print)
9781484205693 (print)
Standard Number 10.1007/978-1-4842-0568-6

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