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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

Table Calculation Application: Addressing and Partitioning

In the previous section, you learned about quick table calculations. But did you notice that all these calculations were working at the row level? What if you need to apply calculations at the column level? This is where the concept of addressing and partitioning comes into play.

Addressing means defining the direction of the calculation. A calculation can compute horizontally or vertically, depending on the option selected. Partitioning can be defined as the scope of the calculation; for example, you can partition a view into various years for different categories, or various categories for the same year.

In this section, you will learn about the following methods to address and partition data:

  • Table(across)
  • Table(down)
  • Table(across then down)
  • Table(down then across)
  • Pane(down)
  • Pane(across then down)
  • Pane(down then across)
  • Cell
  • Specific Dimensions

You will continue...

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