Matthew Windham - Introduction to Regular Expressions in SAS

K. Matthew Windham

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The correct bibliographic citation for this manual is as follows: Windham, K. Matthew. 2014. Introduction to Regular Expressions in SAS. Cary, NC: SAS Institute Inc.

Introduction to Regular Expressions in SAS

Copyright 2014, SAS Institute Inc., Cary, NC, USA

ISBN 978-1-61290-904-2 (Hardcopy)
ISBN 978-1-62959-498-9 (EPUB)
ISBN 978-1-62959-499-6 (MOBI)
ISBN 978-1-62959-500-9 (PDF)

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December 2014

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Purpose

This book is intended for a wide audience of SAS users, from novice programmer to the very advanced. As not much has previously been published on this topic, many different skill levels can benefit from the content herein. However, the book has been written to ensure that novice programmers can immediately implement every element discussed.

Is This Book for You?

Of course, it is! Do you wish you could process unstructured data sources? Would you like to more effectively process semi-structured data sources? Do you want to one day leverage advanced text mining concepts within your Base SAS code? Of course, you do! This book lays the foundation for all of this and more, making it the ideal text for anyone wanting to enhance their programming prowess.

Prerequisites

Readers should be comfortable using and applying the SAS DATA step, basic PROCs (e.g., PROC PRINT), DO loops, and conditional processing concepts. Readers should be familiar with SAS arrays and the RETAIN statement.

Scope of This Book

This book covers all PRX functions and call routines.

This book does NOT cover advanced concepts requiring MACRO programming, PROC SQL, or system automation.

About the Examples

Software Used to Develop the Books Content

Base SAS (Microsoft Windows)

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Output and Graphics Used in This Book

All output used in this book was generated via the SAS log and PROC PRINT.

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K. Matthew Windham, CAP, is the director of analytics at NTELX Inc., an analytics and technology solutions consulting firm located in the Washington, DC area. His focus is on helping clients improve their daily operations through the application of mathematical and statistical modeling, data and text mining, and optimization. A longtime SAS user, Matt enjoys leveraging the breadth of the SAS platform to create innovative, predictive analytics solutions. During his career, Matt has led consulting teams in mission-critical environments to provide rapid, high-impact results. He has also architected and delivered analytics solutions across the federal government, with a particular focus on the US Department of Defense and the US Department of the Treasury. Matt is a Certified Analytics Professional (CAP) who received his BS in Applied Mathematics from N.C. State University and his MS in Mathematics and Statistics from Georgetown University.