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Mastering Tableau 2019.1 - Second Edition

You're reading from  Mastering Tableau 2019.1 - Second Edition

Product type Book
Published in Feb 2019
Publisher
ISBN-13 9781789533880
Pages 558 pages
Edition 2nd Edition
Languages
Authors (2):
Marleen Meier Marleen Meier
Profile icon Marleen Meier
David Baldwin David Baldwin
Profile icon David Baldwin
View More author details
Toc

Table of Contents (20) Chapters close

Preface 1. Section 1: Tableau Concepts, Basics
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

Summary

We began this chapter with a discussion on complex joins and discovered that, when possible, Tableau uses join culling to generate efficient queries to the data source. A secondary join, however, limits Tableau's ability to employ join culling. An extract results in a materialized, flattened view that eliminates the need for joins to be included in any queries. Unions come in handy if identically-formatted data, stored in multiple sheets or data sources, needs to be appended. We showed how to do so in this chapter. Then, we reviewed data blending to clearly understand how it differs from joining. We discovered that the primary limitation in data blending is that no dimensions are allowed from a secondary source; however, we also discovered that there are exceptions to this rule. We also discussed scaffolding, which can make data blending surprisingly fruitful. Finally...

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