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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

Creating metrics using calculated columns


Probably the most fundamental and useful data manipulation tool provided by Spotfire is the ability to create calculated columns in imported data tables. A calculated column is created by writing an expression that references other columns in the table, documents property values, and values that you supply, or hard code. The expression can be a simple piece of arithmetic, such as dividing one column by another to get a proportion, or a more complex piece of conditional logic. Once created, a calculated column can be used exactly like any other column.

Basic metric

Let's work through an example by looking at two key metrics of batting performance in baseball: the on base percentage (OBP), which is essentially how often a batter reaches base, and the walk-to-strikeout ratio (BB/K), which is a measure of a hitter's plate discipline.

The data we will use here is BaseballPlayerData.xls, which you can download from http://www.insidespotfire.com.

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