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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

Practicing Level of Detail Calculations

When we talk about Level of Detail (LOD) calculations in Tableau, we mean three expressions: FIXED, INCLUDE, and EXCLUDE. These three expressions open up a world of options by providing the ability to create calculations that target specific levels of granularity. In older versions of Tableau, data granularity for a worksheet was established by the dimensions in a view. If the view contained dimensions for, for example, Region, State, and Postal Code, but the author wanted to create a City-level calculation, the City dimension would need to be included on the view. Furthermore, there was no mechanism for excluding or ignoring a given dimension on a view. Admittedly, the desired results could normally be obtained through some complex and sometimes convoluted use of table calculations, data blends, and so on. Fortunately, LODs greatly simplify these use case scenarios and, in some cases, enable what was previously impossible.

In this chapter...

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