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Mastering Tableau 2023 - Fourth Edition

You're reading from  Mastering Tableau 2023 - Fourth Edition

Product type Book
Published in Aug 2023
Publisher Packt
ISBN-13 9781803233765
Pages 684 pages
Edition 4th Edition
Languages
Author (1):
Marleen Meier Marleen Meier
Profile icon Marleen Meier
Toc

Table of Contents (19) Chapters close

Preface 1. Reviewing the Basics 2. Getting Your Data Ready 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

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. Data densification, in its simplest form, is the addition of datapoints to a view that doesn’t exist in the underlying dataset. This topic can be a bit confusing at first.

If you would like to read more about it, please check the following article: https://towardsdatascience.com/data-densification-in-tableau-93c0a6bfcc5f

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...

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