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The Tableau Workshop

You're reading from   The Tableau Workshop A practical guide to the art of data visualization with Tableau

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781800207653
Length 822 pages
Edition 1st Edition
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Authors (5):
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Shweta Savale Shweta Savale
Author Profile Icon Shweta Savale
Shweta Savale
Kenneth Michael Cherven Kenneth Michael Cherven
Author Profile Icon Kenneth Michael Cherven
Kenneth Michael Cherven
Sumit Gupta Sumit Gupta
Author Profile Icon Sumit Gupta
Sumit Gupta
Sylvester Pinto Sylvester Pinto
Author Profile Icon Sylvester Pinto
Sylvester Pinto
JC Gillet JC Gillet
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JC Gillet
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Table of Contents (12) Chapters Close

Preface
1. Introduction: Visual Analytics with Tableau 2. Data Preparation: Using Tableau Desktop FREE CHAPTER 3. Data Preparation: Using Tableau Prep 4. Data Exploration: Comparison and Composition 5. Data Exploration: Distributions and Relationships 6. Data Exploration: Exploring Geographical Data 7. Data Analysis: Creating and Using Calculations 8. Data Analysis: Creating and Using Table Calculations 9. Data Analysis: Creating and Using Level of Details (LOD) Calculations 10. Dashboards and Storyboards 11. Tableau Interactivity: Part 1

LOD Calculations: Dimensions or Measures?

In the previous exercises, when calculating LOD calculations, you have always used a measure to give a numerical output. FIXED LOD calculations can show results in measures or dimensions, depending on the field used in the expression.

So, MIN ([Order_Date])} will be a dimension, because [Order_Date] is a dimension, and {fixed Country: AVG([GDP])} will be a measure, because [GDP] is a measure. In contrast, INCLUDE and EXCLUDE LOD calculations always show results in measures.

You will now learn how dimensions used in the view affect the LOD calculation's computation.

Aggregation and LOD Calculations

In previous exercises, you computed AVG(Profit) per Customer at a Region level, but did not include Customer in the view. How did Tableau manage that?

Figure 9.24: Understanding aggregations

The answer lies in how Tableau handles the level of aggregation. In this section, you will learn about the backend...

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