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Learning Tableau 10

You're reading from   Learning Tableau 10 Business Intelligence and data visualization that brings your business into focus

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Product type Paperback
Published in Sep 2016
Publisher Packt
ISBN-13 9781786466358
Length 432 pages
Edition 2nd Edition
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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 (12) Chapters Close

Preface 1. Creating Your First Visualizations and Dashboard FREE CHAPTER 2. Working with Data in Tableau 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

Visualizing dates and times


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

  • When did we gain the newest 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.

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 for Tableau hierarchies. You will want to ensure that all the date hierarchies and date values that you need are defined in the cube.

To see this in action, continue with the Chapter 03  workbook, navigate to the Built-in Date Hierarchy sheet, and create a view similar to the one shown here by dragging and dropping SUM(Sales) to Rows and YEAR(Order Date) to Columns:

Note that even though the Order Date field is a date, Tableau defaulted...

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