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Introduction to Regular Expressions in SAS, by Matthew Windham
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Unstructured data is the most voluminous form of data in the world, and analysts rarely receive it in perfect condition for processing. In other words, you often need to clean, transform, and enhance your source data before you can use and derive value from it—especially where textual data is concerned. In Introduction to Regular Expressions in SAS, SAS programmers of virtually all skill levels will learn how to harness the power of Regular Expressions within the SAS programming language for a wide array of everyday applications of unstructured data analyses. This book uses a practical, examples-based approach to walk you through using Regular Expressions for unstructured data processing, and provides you with the foundational information and examples to perform advanced applications. From fuzzy matching to data extraction, this book is a critical reference for any advanced analytics practitioner who needs to leverage SAS software to effectively process their data. This book is part of the SAS Press Program.
- Sales Rank: #1651590 in eBooks
- Published on: 2014-12-01
- Released on: 2014-12-01
- Format: Kindle eBook
About the Author
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.
Most helpful customer reviews
2 of 2 people found the following review helpful.
Short and very dense
By I Teach Typing
This is a very brief introduction to regular expressions (about 25 pages), the SAS functions, call routines for playing with them (about 25 pages) with a few extended examples (about 20 pages). The 25 page introduction is so dense it is hard to process even though every feature has 2 or 3 examples of what "matches" the expression. So, if you have not played with regular expressions before you will need other books. The SAS code on how to use regular expressions is very valuable. If you can figure out the regular expression code to search for whatever you need, you can easily use the SAS examples to accomplish find and/or replace tasks.
The book does come with a framework program for testing every expression you write. That is extremely helpful. However, The book would be much stronger if it was written with lots of try it your self examples with worked solutions. As it stands the first 1/3 of the book is like reading the dictionary. If the the author had doubled or tripled that section with tests this would be at least a 4 star book.
This is not a bad book but it is probably inadequate if you have not done regular expressions before. That said, with this book and its examples (especially CALL PRXNEXT) I was able to accomplish my goals.
0 of 0 people found the following review helpful.
it worked like a charm
By statistics geek
Matthew Windham provides detailed, worked out SAS code examples for parsing text using SAS functions that mimic Perl regular expressions. (One may download his actual code from SAS's website; the URL is given in the book's introduction.) I especially appreciated the code to parse XML. I downloaded it and adapted it to my situation; it worked like a charm. His explanations of how the code works are excellent too.
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