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SAS programming and data visualization techniques : a power user's guide

SAS programming and data visualization techniques : a power user's guide

Material type
단행본
Personal Author
Holland, Philip R.
Title Statement
SAS programming and data visualization techniques : a power user's guide / Philip R. Holland.
Publication, Distribution, etc
[Berkeley, CA] :   Apress,   c 2015.  
Physical Medium
xxi, 245 p. : ill. ; 26 cm.
기타형태 저록
Online version:   Holland, Philip R.   SAS programming and data visualization techniques   Berkeley, CA : Apress, 2015   9781484205686   (211009) 000046032259  
Series Statement
The expert's voice in SAS programming and data visualization
ISBN
9781484205693 (paperback) 1484205693 (paperback) 9781484205686 (electronic)
요약
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.--
General Note
Includes index.  
Content Notes
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.
Subject Added Entry-Topical Term
SAS (Computer program language). Information visualization.
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035 ▼a (KERIS)REF000018230619
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090 ▼a 005.55 ▼b H736s
100 1 ▼a Holland, Philip R.
245 1 0 ▼a SAS programming and data visualization techniques : ▼b a power user's guide / ▼c Philip R. Holland.
260 ▼a [Berkeley, CA] : ▼b Apress, ▼c c 2015.
300 ▼a xxi, 245 p. : ▼b ill. ; ▼c 26 cm.
490 1 ▼a The expert's voice in SAS programming and data visualization
500 ▼a Includes index.
505 0 ▼a 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.
520 ▼a 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.-- ▼c Source other than Library of Congress.
630 0 0 ▼a SAS (Computer file).
650 0 ▼a SAS (Computer program language).
650 0 ▼a Information visualization.
776 0 8 ▼i Online version: ▼a Holland, Philip R. ▼t SAS programming and data visualization techniques ▼d Berkeley, CA : Apress, 2015 ▼z 9781484205686 ▼w (211009) 000046032259
830 0 ▼a Expert's voice in SAS programming in data visualization.
945 ▼a KLPA

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/Western Books/ Call Number 005.55 H736s Accession No. 111815895 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents

Intro -- Contents at a Glance -- Contents -- About the Author -- About the Technical Reviewer -- Acknowledgments -- Introduction -- Part I: Programming Efficiency Techniques -- Overview -- Chapter 1: The Basics of Efficient SAS Coding -- Is the SAS Programming World “Back to Front”? -- Speed and Low Maintenance -- Speed or Low Maintenance: Part 1 -- Speed or Low Maintenance: Part 2 -- Personal Preferences -- Reducing Maintenance: Part 1 -- Reducing Maintenance: Part 2 -- Conclusions -- References -- Chapter 2: How to Use Lookup Tables Effectively -- Sample Data Sets -- DATA Step Merge -- SQL Join -- Generated SAS Formats -- Generated If .. Then .. Else -- Generated Select .. When .. Otherwise -- DATA Step Hash -- Conclusions -- Reference -- Chapter 3: Case: SAS Skills in Epidemiology -- Size Really Is Important! -- Working with Longitudinal Databases -- Needing to Clean the Data -- Choosing a Suitable Database -- Programming Techniques -- Sample Data Sets -- Sample SAS Code -- PROC SORT before DATA Step Subset -- Code: sort_if -- Code: sort_setwhere -- Code: sort_outkeep_if -- Code: sort_outkeep_setwhere -- Code: sort_inkeep_if -- Code: sort_inkeep_setwhere -- PROC SORT after DATA Step Subset -- Code: if_sort -- Code: setwhere_sort -- Code: datawhere_sort -- Code: setwhere_setkeep_sort -- Performance Results -- Summary -- Some Thoughts for Managers -- Part II: External Interfaces -- Overview -- Chapter 4: SAS to R to SAS -- Software Environment -- Program Flow -- SAS Activity to Prepare the Data -- R Activity -- SAS Activity to Create the ODS Report -- Coding Issues -- Character-Based Reports -- Conclusions -- Software Resources and Further Reading -- Chapter 5: Knit Perl and SAS Software for DIY Web Applications -- HTML Programming -- System Requirements -- SAS Programming -- Perl Programming and Operational Details -- Conclusions -- References -- Chapter 6: Running SAS Programs in Enterprise Guide -- Environment Setup -- Changes to the Automatic Initialization Program -- Limitations of Enterprise Guide Software -- Accessing Local SAS Installations -- Accessing Server-Based SAS Installations -- Why You Cannot Use Autoexec.sas -- Why Do Platform-Specific System Commands Fail? -- Changing the Current Directory -- Generating SAS Code Using Enterprise Guide Tasks -- Automatically Saving Logs to Disk -- Conclusions -- References -- Chapter 7: Running SAS Programs in SAS Studio or Enterprise Guide -- Platform-Specific Users -- Windows Users -- Display Manager System (DMS) -- Enterprise Guide -- SAS Studio -- Unix or Linux Users -- Display Manager System (DMS) -- SAS Studio -- MAC Users -- SAS Studio -- Role-Specific Users -- Academic Users -- Non-Programming Data Analysts -- SAS Studio -- Enterprise Guide -- Enterprise Guide and SAS Studio Together -- Novice and Intermediate Programmers -- SAS Studio -- Enterprise Guide -- Power Users -- Display Manager System (DMS) -- Enterprise Guide -- SAS Studio -- Interface and Task Developers -- SAS Studio -- En.

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