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Learning Tableau 2022 - Fifth Edition

You're reading from Learning Tableau 2022 - Fifth Edition

Product type Book

Published in Aug 2022

Publisher Packt

ISBN-13 9781801072328

Pages 568 pages

Edition 5th Edition

Languages

Concepts

Business Intelligence

Author (1):

Joshua N. Milligan

Table of Contents (20) Chapters

Preface

1. Taking Off with Tableau

2. Connecting to Data in Tableau

3. Moving Beyond Basic Visualizations

4. Starting an Adventure with Calculations and Parameters

5. Leveraging Level of Detail Calculations

6. Diving Deep with Table Calculations

7. Making Visualizations that Look Great and Work Well

8. Telling a Data Story with Dashboards

9. Visual Analytics: Trends, Clustering, Distributions, and Forecasting

10. Advanced Visualizations

11. Dynamic Dashboards

12. Exploring Mapping and Advanced Geospatial Features

13. Integrating Advanced Features: Extensions, Scripts, and AI

14. Understanding the Tableau Data Model, Joins, and Blends

15. Structuring Messy Data to Work Well in Tableau

16. Taming Data with Tableau Prep

17. Sharing Your Data Story

18. Other Books You May Enjoy

19. Index

Visualizing multiple axes to compare different measures

Often, you’ll need to use more than one axis to compare different measures, understand the correlation, or analyze the same measure at different levels of detail. In these cases, you’ll use visualizations with more than one axis.

Scatterplot

A scatterplot is an essential visualization type for understanding the relationship between two measures. Consider a scatterplot when you find yourself asking questions like the following:

Does how much I spend on marketing really make a difference in sales?
How much does power consumption go up with each degree of heating/cooling?
Is there any correlation between hours of study and test performance?

Each of these questions seeks to understand the correlation (if any) between two measures. Scatterplots help you understand these relationships and see any outliers.

Consider the following scatterplot, which looks for a relationship between...

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Authors (1)

Joshua N. Milligan

Joshua N. Milligan is a Hall of Fame Tableau Zen Master and 2017 Iron Viz Global finalist. His passion is training, mentoring, and helping people gain insights and make decisions based on their data through data visualization using Tableau and data cleaning and structuring using Tableau Prep. He is a principal consultant at Teknion Data Solutions, where he has served clients in numerous industries since 2004.

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