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Mastering Tableau 2023

You're reading from   Mastering Tableau 2023 Implement advanced business intelligence techniques, analytics, and machine learning models with Tableau

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Product type Paperback
Published in Aug 2023
Publisher Packt
ISBN-13 9781803233765
Length 684 pages
Edition 4th Edition
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Author (1):
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Marleen Meier Marleen Meier
Author Profile Icon Marleen Meier
Marleen Meier
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Table of Contents (19) Chapters Close

Preface 1. Reviewing the Basics 2. Getting Your Data Ready FREE CHAPTER 3. Using Tableau Prep Builder 4. Learning about Joins, Blends, and Data Structures 5. Introducing Table Calculations 6. Utilizing OData, Data Densification, Big Data, and Google BigQuery 7. Practicing Level of Detail Calculations 8. Going Beyond the Basics 9. Working with Maps 10. Presenting with Tableau 11. Designing Dashboards and Best Practices for Visualizations 12. Leveraging Advanced Analytics 13. Improving Performance 14. Exploring Tableau Server and Tableau Cloud 15. Integrating Programming Languages 16. Developing Data Governance Practices 17. Other Books You May Enjoy
18. Index

Dual axes and layering maps

You might recall that on many different occasions throughout the previous chapters, we used dual axes. A dual axis visualization can also be achieved with maps, and, even better, since the Tableau 2020.4 release, maps can be layered. We simply add another layer with the same structure (which, in this case, is a map), and per layer, we can display different data.

We will look at two exercises, the first one being about the use of dual axes and the second one including include map layers.

Using dual axes

Let’s get started:

  1. First, we need a dataset. I simply created one in Excel myself; feel free to create your own, copy what you see in the following screenshot, or download the file from this book’s GitHub repository (https://github.com/PacktPublishing/Mastering-Tableau-2023-Fourth-Edition/blob/main/Chapter09/Freight.xlsx). Name the file freight:

Figure 9.21: Excel

  1. Connect the new dataset to Tableau...
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