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TIBCO Spotfire: A Comprehensive Primer

You're reading from   TIBCO Spotfire: A Comprehensive Primer Create innovative enterprise-class informatics solutions using TIBCO Spotfire

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Product type Paperback
Published in Feb 2015
Publisher Packt
ISBN-13 9781782176404
Length 348 pages
Edition 1st Edition
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Author (1):
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Michael Phillips Michael Phillips
Author Profile Icon Michael Phillips
Michael Phillips
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Table of Contents (12) Chapters Close

Preface 1. Show Me the Data FREE CHAPTER 2. Visualize This! 3. Analyze That! 4. The Big Wide World of Spotfire 5. Source Data is Never Enough 6. The World is Your Visualization 7. What's Your Location? 8. The Secret Life of Python 9. It's All About Self-service These Days 10. Beyond the Horizon Index

Key Spotfire concept – difference between calculated columns and custom expressions

When you enter an expression in the calculated column dialog, you create a new column in the data. This column behaves like any other column, and its values remain static, fixed by the expression you have defined. If you apply a filter to the columns used in the underlying expression, the calculated values will not change. For example, if you create a column in the baseball data for the sum of home runs by league, it will have two values, one for each league. If you now filter out some AL teams, the AL total will remain the total for all AL teams.

If you want the outcome of an expression to respond to filtering on its component columns, you need to use a custom expression directly on a visualization property. The outcome of custom expressions does change in response to filtering. For example, if you create a custom expression for the sum of home runs by league on an axis and then filter out some teams...

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