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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

Visualizing dates and times

In your analysis, you will often want to understand when something happened. You'll ask questions like the following:

  • When did we gain the most new customers?
  • What times of day have the highest call volume?
  • What kinds of seasonal trends do we see in sales and profit?

Fortunately, Tableau makes this kind of visual discovery and analysis easy.

Date parts, date values, and exact dates

When you are connected to a flat file, relational, or extracted data source, Tableau provides a robust built-in date hierarchy for any date field.

Cubes/OLAP connections do not allow for Tableau hierarchies. You will want to ensure that all date hierarchies and date values you need are defined in the cube.

To see...

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