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Mastering Tableau 2019.1

You're reading from   Mastering Tableau 2019.1 An expert guide to implementing advanced business intelligence and analytics with Tableau 2019.1

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Product type Paperback
Published in Feb 2019
Publisher
ISBN-13 9781789533880
Length 558 pages
Edition 2nd Edition
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Authors (2):
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Marleen Meier Marleen Meier
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Marleen Meier
David Baldwin David Baldwin
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David Baldwin
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Table of Contents (20) Chapters Close

Preface 1. Section 1: Tableau Concepts, Basics FREE CHAPTER
2. Getting Up to Speed - A Review of the Basics 3. All About Data - Getting Your Data Ready 4. Tableau Prep 5. All About Data - Joins, Blends, and Data Structures 6. All About Data - Data Densification, Cubes, and Big Data 7. Table Calculations 8. Level of Detail Calculations 9. Section 2: Advanced Calculations, Mapping, Visualizations
10. Beyond the Basic Chart Types 11. Mapping 12. Tableau for Presentations 13. Visualization Best Practices and Dashboard Design 14. Advanced Analytics 15. Improving Performance 16. Section 3: Connecting Tableau to R, Python, and Matlab
17. Interacting with Tableau Server 18. Programming Tool Integration 19. Other Books You May Enjoy

Introduction to quantiles

Quantiles are often considered to be synonymous with quartiles. They are not. Quantiles are the sets that make up an evenly-divided population of values. A quartile is a type of quantile—as is a quintile, a tercile, a decile, and so forth.

To understand how quantiles evenly divide a population of values, consider the following example from Tableau:

In the preceding example, our data points are 2 - 22 by even numbers. Quantiles are set to Quintiles. The Fourth Quintile is calculated thus: 22 * (4/5) = 17.6. The closest value in the population when rounding up is 18. Therefore, 18 is set as the rank that accounts for approximately four-fifths of the values of the total sorted population.

As evidenced in the preceding screenshot, Tableau allows you to view quantiles via right-clicking on an axis and choosing Add Reference Line > Distribution ...

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