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

Product typeBook
Published inDec 2016
PublisherPackt
ISBN-139781784395513
Edition1st Edition
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Author (1)
Shweta Sankhe-Savale
Shweta Sankhe-Savale
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Shweta Sankhe-Savale

Shweta Sankhe-Savale is the Co-founder and Head of Client Engagements at Syvylyze Analytics (pronounced as "civilize"), a boutique business analytics firm specializing in visual analytics. Shweta is a Tableau Desktop Qualified Associate and a Tableau Accredited Trainer. Being one of the leading experts on Tableau in India, Shweta has translated her experience and expertise into successfully rendering analytics and data visualization services for numerous clients across a wide range of industry verticals. She has taken up numerous training as well as consulting assignments for customers across various sectors like BFSI, FMCG, Retail, E-commerce, Consulting & Professional Services, Manufacturing, Healthcare & Pharma, ITeS etc. She even had the privilege of working with some of the renowned Government and UN agencies as well. Combining her ability to breakdown complex concepts, with her expertise on Tableau's visual analytics platforms, Shweta has successfully trained over a 1300+ participants from 85+ companies.
Read more about Shweta Sankhe-Savale

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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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Tableau Cookbook - Recipes for Data Visualization
Published in: Dec 2016Publisher: PacktISBN-13: 9781784395513

Author (1)

author image
Shweta Sankhe-Savale

Shweta Sankhe-Savale is the Co-founder and Head of Client Engagements at Syvylyze Analytics (pronounced as "civilize"), a boutique business analytics firm specializing in visual analytics. Shweta is a Tableau Desktop Qualified Associate and a Tableau Accredited Trainer. Being one of the leading experts on Tableau in India, Shweta has translated her experience and expertise into successfully rendering analytics and data visualization services for numerous clients across a wide range of industry verticals. She has taken up numerous training as well as consulting assignments for customers across various sectors like BFSI, FMCG, Retail, E-commerce, Consulting & Professional Services, Manufacturing, Healthcare & Pharma, ITeS etc. She even had the privilege of working with some of the renowned Government and UN agencies as well. Combining her ability to breakdown complex concepts, with her expertise on Tableau's visual analytics platforms, Shweta has successfully trained over a 1300+ participants from 85+ companies.
Read more about Shweta Sankhe-Savale