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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

Appending fields to your data

Sometimes, we find that we need to get some calculations from our datasets (SUMs, Averages, Counts, or Distinct Counts), and later add them back to the source, or maybe have a very small dataset that we need to add to each record from our main data source (for example, the location of our distribution center to a dataset that contains different locations and we need to get the distance from one to the other). Appending fields is a very useful technique that will allow us to do this, and we’ll be covering it in this recipe.

This is a cross-join operation where, for each record in the first dataset, all the records from the second dataset are added (generating what is called a Cartesian Join), and even when we think it is dangerous (and believe me, it is), if you understand well how to leverage it, you’ll realize how useful and powerful this technique is.

Important note

Alteryx Designer has its fail-safe mechanism to avoid entering...

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