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  • Book Overview & Buying Alteryx Designer Cookbook
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Alteryx Designer Cookbook

Alteryx Designer Cookbook

By : Guisande
4.9 (10)
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Alteryx Designer Cookbook

Alteryx Designer Cookbook

4.9 (10)
By: Guisande

Overview of this book

Alteryx allows you to create data manipulation and analytic workflows with a simple, easy-to-use, code-free UI, and perform fast-executing workflows, offering multiple ways to achieve the same results. The Alteryx Designer Cookbook is a comprehensive guide to maximizing your Alteryx skills and determining the best ways to perform data operations This book's recipes will guide you through an analyst's complete journey, covering all aspects of the data life cycle. The first set of chapters will teach you how to read data from various sources to obtain reports and pass it through the required adjustment operations for analysis. After an explanation of the Alteryx platform components with a particular focus on Alteryx Designer, you’ll be taken on a tour of what and how you can accomplish by using this tool. Along the way, you’ll learn best practices and design patterns. The book also covers real-world examples to help you apply your understanding of the features in Alteryx to practical scenarios By the end of this book, you’ll have enhanced your proficiency with Alteryx Designer and an improved ability to execute tasks within the tool efficiently
Table of Contents (17 chapters)
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Dynamic Operations

We saw the power of the Dynamic tools, or at least one of them, in Chapter 1, Recipe 2 – Read a worksheet from multiple Excel files all at once – same schema different folders/subfolders, in Chapter 2, Recipe 5 – Access and determine which files to be processed from a file repository, and in Chapter 2, Recipe 1 – Cursor behavior, but more efficiently when we used the Dynamic Input tool to read the contents of several inputs all at once and to create a more efficient cursor behavior over databases.

In this chapter, we’ll explore several recipes using Dynamic tools to perform powerful dynamic operations over data.

These operations include the following:

  • Renaming fields dynamically based on dictionaries, conditions, or even data in the same file
  • Select fields based on their metadata
  • Replace contents dynamically based on expressions/conditions
  • Building complex formula expressions from within your data
...
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Alteryx Designer Cookbook
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