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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

Visualizing statistical measures using box and whisker plots


The Box Plot visualization is a convenient graphical tool for displaying descriptive statistical measures such as median, mean, and quartile. We have to look at some statistical theory now because the main reason for using a box plot is to show statistical measures, and it's important that you understand the basic principles. In broad terms, statistical analysis may be divided between parametric and nonparametric approaches.

Parametric statistics are based on an assumption that the data falls into some known probability distribution, and they make inferences about the parameters of that distribution. They can provide good accuracy and precision and, therefore, good statistical power, but they are not robust because they depend on assumptions about distribution. The mean (what people commonly refer to as the average) and standard deviation are parametric statistical measures.

Nonparametric statistics make no assumptions about the...

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