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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

Categorizing continuous numerical data using binning functions


The final way in which you can create custom columns in Spotfire is through binning. Just as for calculated and hierarchy columns, you create binned columns using the Insert drop-down in Column Properties, selecting the option Binned Column…. A binned column is just a way to turn a continuous set of values, usually numeric but not always, into a set of more discrete values or bins. Age would be a typical case. You might prefer, when using a bar chart to show an age distribution, to plot a series of boundaries, such as < 20, 20–30, 30–40, 40–50, 50–60, 60–70, and >70, rather than a continuous set of individual ages.

The Binned Column… dialog offers five methods for binning data, and each of these methods corresponds to a function that you can later edit using the expression editor:

  • You can set specific limits by using the following expressions:

    BinBySpecificLimits([column name], value 1, value 2, …, value n)

    This method allows...

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