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Alteryx Designer Cookbook

You're reading from   Alteryx Designer Cookbook Over 60 recipes to transform your data into insights and take your productivity to a new level

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Product type Paperback
Published in Oct 2023
Publisher Packt
ISBN-13 9781804615089
Length 740 pages
Edition 1st Edition
Tools
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Author (1):
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Alberto Guisande Alberto Guisande
Author Profile Icon Alberto Guisande
Alberto Guisande
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Toc

Table of Contents (17) Chapters Close

Preface 1. Chapter 1: Inputting Data from Files 2. Chapter 2: Working with Databases FREE CHAPTER 3. Chapter 3: Preparing Data 4. Chapter 4: Transforming Data 5. Chapter 5: Data Parsing 6. Chapter 6: Grouping Data 7. Chapter 7: Blending and Merging Datasets 8. Chapter 8: Aggregating Data 9. Chapter 9: Dynamic Operations 10. Chapter 10: Macros and Apps 11. Chapter 11: Downloads, APIs, and Web Services 12. Chapter 12: Developer Tools 13. Chapter 13: Reporting with Alteryx 14. Chapter 14: Outputting Data 15. Index 16. Other Books You May Enjoy

Working with RegEx

We are not going to get into the details of regular expressions in this recipe; we are just going to mention concepts that will help you decide when (and when not) to use them.

Regular expressions refer to a set of characters on a particular notation, where each one can have a literal or special meaning (metacharacters); they can be used for pattern recognition within a text, and are very useful for parsing and matching strings in unstructured data. It’s all about determining likenesses or differences between the notation and the real text.

There are many types of syntaxes, based on the processor used, so we are going to focus on the Perl one, which is the one that Alteryx uses (through the Boost library) and one of the most used in general.

One important thing to notice about regular expressions is that they focus on patterns, so if you don’t have a pattern in your text, RegEx won’t be the right method for parsing it.

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