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Learning Tableau

You're reading from  Learning Tableau

Product type Book
Published in Apr 2015
Publisher Packt
ISBN-13 9781784391164
Pages 340 pages
Edition 1st Edition
Languages
Author (1):
Joshua N. Milligan Joshua N. Milligan
Profile icon Joshua N. Milligan

Table of Contents (18) Chapters

Learning Tableau
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Creating Your First Visualizations and Dashboard 2. Working with Data in Tableau 3. Moving from Foundational to Advanced Visualizations 4. Using Row-level and Aggregate Calculations 5. Table Calculations 6. Formatting a Visualization to Look Great and Work Well 7. Telling a Data Story with Dashboards 8. Adding Value to Analysis – Trends, Distributions, and Forecasting 9. Making Data Work for You 10. Advanced Techniques, Tips, and Tricks 11. Sharing Your Data Story Index

Visualizing multiple axes to compare different measures


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

Scatterplots

A scatterplot is an essential visualization type to understand the relationship between two measures. Consider a scatterplot when you find yourself asking questions like these:

  • Does how much I spend on marketing really make a difference to sales?

  • How much does power consumption go up with each degree of heating/cooling?

  • Is there any correlation between rental price and the length of contract?

Each of these questions seeks to understand the correlation (if any) between two measures. Scatterplots are great to see these relationships and also to locate outliers.

Consider the following scatterplot, which looks at the relationship between the measures of the sum of Sales (on the x axis) and the sum of Profit ...

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