Introduction to Regular Expressions in SAS

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. 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, source data needs to be cleaned, transformed, and enhanced before it can be used and value derived from it--especially where textual data is concerned. In this book, 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 readers through using regular expressions for unstructured data processing, and provides them 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. -- Edited summary from book