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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

Comparing values across different dimensions


More often than not, you will want to compare the differences of measured values across different categories. You might find yourself asking questions like this:

  • How much profit did we generate in each department?
  • How many views did each web page get?
  • How many patients did each doctor see?

In each case, you are looking to make a comparison (among departments, websites, or doctors) in terms of some quantitative measurement (profit, number of views, and count of patients).

 

Bar charts

The following figure is a simple bar chart, similar to the one we built in Chapter 1, Creating Your First Visualizations and Dashboards:

The sum of sales is compared for each category of item sold in the chain of stores. Category is used as a discrete dimension in the view, which defines row headers (because it is discrete) and slices the sum of sales for each category (because it is a dimension). Sales defines an axis (because it is continuous) and is summed (because it...

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