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Mastering Tableau 2019.1

You're reading from   Mastering Tableau 2019.1 An expert guide to implementing advanced business intelligence and analytics with Tableau 2019.1

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Product type Paperback
Published in Feb 2019
Publisher
ISBN-13 9781789533880
Length 558 pages
Edition 2nd Edition
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Authors (2):
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Marleen Meier Marleen Meier
Author Profile Icon Marleen Meier
Marleen Meier
David Baldwin David Baldwin
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David Baldwin
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Table of Contents (20) Chapters Close

Preface 1. Section 1: Tableau Concepts, Basics FREE CHAPTER
2. Getting Up to Speed - A Review of the Basics 3. All About Data - Getting Your Data Ready 4. Tableau Prep 5. All About Data - Joins, Blends, and Data Structures 6. All About Data - Data Densification, Cubes, and Big Data 7. Table Calculations 8. Level of Detail Calculations 9. Section 2: Advanced Calculations, Mapping, Visualizations
10. Beyond the Basic Chart Types 11. Mapping 12. Tableau for Presentations 13. Visualization Best Practices and Dashboard Design 14. Advanced Analytics 15. Improving Performance 16. Section 3: Connecting Tableau to R, Python, and Matlab
17. Interacting with Tableau Server 18. Programming Tool Integration 19. Other Books You May Enjoy

Introduction to data densification

Data densification is a largely undocumented aspect of Tableau that can be useful in many circumstances, but can also be confusing when encountered unexpectedly. This section will provide information about data densification with the intent of dispelling confusion and providing the Tableau author with sufficient knowledge to use this feature to their advantage.

To begin understanding data densification, four terms should be defined: Data Densification, Sparse Data, Domain Completion, and Domain Padding. In addition to the definitions, each term will be discussed in detail by using examples to help improve understanding.

  • Data densification: A behavior wherein Tableau displays marks in the view for which there is no corresponding underlying data. ...
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