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Learning Tableau 2019

You're reading from   Learning Tableau 2019 Tools for Business Intelligence, data prep, and visual analytics

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781788839525
Length 504 pages
Edition 3rd Edition
Tools
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Author (1):
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Joshua N. Milligan Joshua N. Milligan
Author Profile Icon Joshua N. Milligan
Joshua N. Milligan
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Table of Contents (18) Chapters Close

Preface 1. Section 1: Tableau Foundations FREE CHAPTER
2. Taking Off with Tableau 3. Working with Data in Tableau 4. Venturing on to Advanced Visualizations 5. Section 2: Leveraging the Full Power of Tableau
6. Starting an Adventure with Calculations 7. Diving Deep with Table Calculations 8. Making Visualizations That Look Great and Work Well 9. Telling a Data Story with Dashboards 10. Digging Deeper - Trends, Clustering, Distributions, and Forecasting 11. Section 3: Data Prep and Structuring
12. Cleaning and Structuring Messy Data 13. Introducing Tableau Prep 14. Section 4: Advanced Techniques and Sharing with Others
15. Advanced Visualizations, Techniques, Tips, and Tricks 16. Sharing Your Data Story 17. Other Books You May Enjoy

Relating parts of the data to the whole

As you explore and analyze data, you'll often want to understand how various parts add up to a whole. For example, you'll ask questions such as the following:

  • How much does each electric generation method (wind, solar, coal, and nuclear) contribute to the total amount of energy produced?
  • What percentage of total profit is made in each state?
  • How much space does each file, subdirectory, and directory occupy on my hard disk?

These types of questions are asking about the relationship between the part (production method, state, file/directory) and the whole (total energy, national sales, and hard disk). There are several types of visualizations and variations that can aid you in your analysis.

Stacked bars

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