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Learning Tableau

You're reading from   Learning Tableau Leverage the power of Tableau 9.0 to design rich data visualizations and build fully interactive dashboards

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Product type Paperback
Published in Apr 2015
Publisher Packt
ISBN-13 9781784391164
Length 340 pages
Edition 1st 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 (13) Chapters Close

Preface 1. Creating Your First Visualizations and Dashboard FREE CHAPTER 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 dates and times

Often in your analysis, you will want to understand when something happened. You'll ask questions like these:

  • When did we gain the most new customers?
  • What time of the day has 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.

The built-in date hierarchy

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.

Tip

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

To see this in action, continue with the visualization workbook and create a view similar to the one shown in the following screenshot by dragging and dropping Sales to Rows and Order Date to Columns:

The built-in date hierarchy

Note that even though the Order Date field is a date, Tableau defaulted to showing sales by year. Additionally...

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