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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
Author Profile Icon JC Gillet
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

Relationship and Distribution with Multiple Measures

In this part of the chapter, you will explore how to best represent two measures in the same view and how these charts can help build the relationship between two or more measures. You will initially look at scatter plots. Once you cover the distribution part of these multiple-measure charts, you will move on to the relationship between these measures by discussing dual axis charts and their uses.

Distribution with Two Measures

Scatter plots are two-dimensional graphs created with two to four measures and zero or more dimensions. The first two measures are used as the x and y axis, and the third and fourth measures, as well as the dimensions, are used for adding more formatting and context to the scatter marks.

Scatter plots are useful when plotting two quantifiable measures against one and other. This could be Sales versus Profit or Quantity versus Discount, for example. Scatter plots also help find patterns or clusters...

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