Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Mastering Tableau 2021

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

Arrow left icon
Product type Paperback
Published in May 2021
Publisher Packt
ISBN-13 9781800561649
Length 792 pages
Edition 3rd Edition
Languages
Tools
Arrow right icon
Authors (2):
Arrow left icon
David Baldwin David Baldwin
Author Profile Icon David Baldwin
David Baldwin
Marleen Meier Marleen Meier
Author Profile Icon Marleen Meier
Marleen Meier
Arrow right icon
View More author details
Toc

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

Introducing 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
  • Sparse data: An intersection of one or more dimensions and one measure for which there is no value
  • Domain completion: The addition of marks on a sparsely populated view that cause all...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image