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Tableau 10 Complete Reference

You're reading from   Tableau 10 Complete Reference Transform your business with rich data visualizations and interactive dashboards with Tableau 10

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Product type Course
Published in Dec 2018
Publisher Packt
ISBN-13 9781789957082
Length 496 pages
Edition 1st Edition
Tools
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Authors (2):
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Joshua N. Milligan Joshua N. Milligan
Author Profile Icon Joshua N. Milligan
Joshua N. Milligan
Tristan Guillevin Tristan Guillevin
Author Profile Icon Tristan Guillevin
Tristan Guillevin
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Table of Contents (20) Chapters Close

Title Page
About Packt
Contributors
Preface
1. Creating Your First Visualizations and Dashboard 2. Working with Data in Tableau FREE CHAPTER 3. Moving from Foundational to More Advanced Visualizations 4. Using Row-Level, Aggregate, and Level of Detail Calculations 5. Table Calculations 6. Formatting a Visualization to Look Great and Work Well 7. Telling a Data Story with Dashboards 8. Deeper Analysis - Trends, Clustering, Distributions, and Forecasting 9. Making Data Work for You 10. Advanced Visualizations, Techniques, Tips, and Tricks 11. Sharing Your Data Story 12. Catching Up with Tableau 2018 13. Deal with Security 14. How to Keep Growing Your Skills 1. Other Books You May Enjoy 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 the visualizations with more than one axis.

Scatterplot

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

  • 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 are great for seeing these relationships and also for locating outliers.

Consider the following scatterplot that looks at the relationship between the measures: the sum of Sales (on the X axis) and the sum...

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