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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

Summary

We began this chapter by exploring why LODs are so impactful and why their inclusion in Tableau was so lauded. Next, we built two playgrounds to explore how the three LODs—FIXED, EXCLUDE, and INCLUDE—work. Tableau’s default is to base calculations on the dimensions visible in the view. For example, if you have states in your view, the sales amount will be presented by state. If you are adding cities, the sales amount will be adjusted by state, by city. But, if you want to manipulate this default logic, you can use LODs. They allow you to calculate measures based on any dimension, no matter whether that dimension is represented in the view or not. We also saw that FIXED LODs are higher in the order of operations in Tableau than EXCLUDE and INCLUDE LODs. This is important to remember so that you use the correct LOD and/or filter in your dashboard.

In the next chapter, we’ll turn our attention to the visual side of Tableau and explore different...

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