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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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Toc

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

A definition and two questions


As discussed in Chapter 1, Getting Up to Speed - a Review of the Basics, calculated fields can be categorized thus: row level, aggregate level, and table level. For row- and aggregate-level calculations, the underlying data source engine does most (if not all) of the computational work, and Tableau merely visualizes the results. For table calculations, Tableau also relies on the underlying data source engine to execute computational tasks; however, after that work is completed and a dataset is returned, Tableau performs additional processing before rendering the results. This can be seen within the following process flow diagram, in the circled part titled Tableau performs additional processing. This is where table calculations are processed:

We will continue with a definition:

A table calculation is a function performed on a dataset in cache that has been generated as a result of a query from Tableau to the data source.

Let's consider a couple of points regarding...

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