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Mastering Tableau 2021

You're reading from   Mastering Tableau 2021 Implement advanced business intelligence techniques and analytics with Tableau

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Product type Paperback
Published in May 2021
Publisher Packt
ISBN-13 9781800561649
Length 792 pages
Edition 3rd Edition
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Authors (2):
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David Baldwin David Baldwin
Author Profile Icon David Baldwin
David Baldwin
Marleen Meier Marleen Meier
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Marleen Meier
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Table of Contents (18) Chapters Close

Preface 1. Getting Up to Speed – A Review of the Basics 2. All About Data – Getting Your Data Ready FREE CHAPTER 3. Tableau Prep Builder 4. All About Data – Joins, Blends, and Data Structures 5. Table Calculations 6. All About Data – Data Densification, Cubes, and Big Data 7. Level of Detail Calculations 8. Beyond the Basic Chart Types 9. Mapping 10. Tableau for Presentations 11. Visualization Best Practices and Dashboard Design 12. Advanced Analytics 13. Improving Performance 14. Interacting with Tableau Server/Online 15. Programming Tool Integration 16. Another Book You May Enjoy
17. Index

Dual axes and layering maps

You might recall that on many different occasions throughout the previous chapters, we used dual axes. A dual axes visualization can also be achieved with maps, and, even better, since the Tableau 2020.4 release, maps can be layered. We simply put 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 will 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-2021). Name the file freight:

    Figure 9.20: Excel

  2. Connect the new dataset to Tableau and open a new worksheet called Dual-axis map.
  3. Double...
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