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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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Dynamically renaming fields

Dealing with field names is crucial in our data journey. From structure homologation to missing field names and everything in between, we need to know these techniques, and that’s what we will tackle in this recipe.

At first, you may think of a Select tool to get this job done, but we will use a more dynamic process here.

Getting ready

We prepared a test set for you to follow along with this recipe. You can download it here: https://github.com/PacktPublishing/Alteryx-Designer-Cookbook/tree/main/ch9/Recipe1.

We’ll be using the Dynamic Rename tool to fix some of the most common situations we’ll find with headers, either due to lack of them, differences/errors in their naming, or to standardize structures between different data sources.

In our test set, we have several files we need to combine, starting with a list of customers by City (in CSV format without headers). Also, to help us get the correct header names, we grabbed...

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Alteryx Designer Cookbook
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