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Mastering Tableau

You're reading from   Mastering Tableau Smart Business Intelligence techniques to get maximum insights from your data

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Product type Paperback
Published in Dec 2016
Publisher Packt
ISBN-13 9781784397692
Length 476 pages
Edition 1st Edition
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Authors (2):
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Jen Stirrup Jen Stirrup
Author Profile Icon Jen Stirrup
Jen Stirrup
David Baldwin David Baldwin
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David Baldwin
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Table of Contents (14) Chapters Close

Preface 1. Getting Up to Speed – a Review of the Basics FREE CHAPTER 2. All about Data – Getting Your Data Ready 3. All about Data – Joins, Blends, and Data Structures 4. All about Data – Data Densification, Cubes, and Big Data 5. Table Calculations 6. Level of Detail Calculations 7. Beyond the Basic Chart Types 8. Mapping 9. Tableau for Presentations 10. Visualization Best Practices and Dashboard Design 11. Improving Performance 12. Interacting with Tableau Server 13. R Integration

About 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 advantageously.

To begin to understand data densification, four terms should be defined. Data densification, sparse data, domain completion, and domain padding. The first two terms will be defined immediately, and the last two within the context of the rest of this section of the chapter. In addition to the definitions, each term will be discussed in detail via examples to help improve understanding.

Note

Data densification: A behavior wherein Tableau displays marks in the view for which there is no corresponding underlying data. Sparse data: An intersection of one or more dimensions and one measure for which there is no value...

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