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Tableau Cookbook - Recipes for Data Visualization

You're reading from  Tableau Cookbook - Recipes for Data Visualization

Product type Book
Published in Dec 2016
Publisher Packt
ISBN-13 9781784395513
Pages 504 pages
Edition 1st Edition
Languages
Author (1):
Shweta Sankhe-Savale Shweta Sankhe-Savale
Profile icon Shweta Sankhe-Savale

Table of Contents (18) Chapters

Tableau Cookbook – Recipes for Data Visualization
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Keep Calm and Say Hello to Tableau 2. Ready to Build Some Charts? Show Me! 3. Hungry for More Charts? Dig In! 4. Slice and Dice – Grouping, Sorting, and Filtering Data 5. Adding Flavor – Creating Calculated Fields 6. Serve It on a Dashboard! 7. The Right MIX – Blending Multiple Data Sources 8. Garnish with Reference Lines, Trends, Forecasting, and Clustering 9. Bon Appétit! Tell a Story and Share It with others 10. Formatting in Tableau for Desserts Index

Creating a custom hierarchy


Using hierarchies is another way of slicing and dicing our data. This gives us the ability to be able to drill up and drill down into the data at various granularities. We have already seen an example of a default hierarchy in Tableau when we use any Date field.

When we get any Date field in either the Rows or Columns shelf, Tableau automatically aggregates it to the highest possible level. For example, if the date field includes multiple years, the default level is year. But, if the date field contains data for just one year but includes multiple months, then the default level is month.

In our data, if we get the Order Date field in the Rows shelf, then Tableau aggregates it at the Year level and gives us a field called YEAR(Order Date). It also gives us the + button (expand button) so that we can easily break down the view by year, quarter, month, and so on. Refer to the following image:

When Tableau identifies a field as a Date or Date/Time field, it creates the...

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