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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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Toc

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

Exploring Composition Snapshots – Pie Charts

Although pie charts are quite often used, in the author's personal experience and the opinion of industry leaders in the field of data visualization, they are best avoided in reports/dashboards because it gets difficult to draw insights accurately from them. Pie charts often confuse even the best in the business. Notice how it is easy to trick people with the following pie chart (tricking people is not what we as data analysts/visualizers are supposed to do):

Figure 4.39: Sample pie chart

The goal of the pie chart is to display market penetration levels for brands A, B, and C. A simple visual inspection may cause one to believe that Brand A and C have equal market penetration, but in reality the difference between them could be several millions of dollars due to a couple of percentage points' difference. Therefore, it is recommended not to use pie charts. That said, if there is no way to avoid using...

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