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Mastering Python Data Visualization

You're reading from   Mastering Python Data Visualization Generate effective results in a variety of visually appealing charts using the plotting packages in Python

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Product type Paperback
Published in Oct 2015
Publisher
ISBN-13 9781783988327
Length 372 pages
Edition 1st Edition
Languages
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Author (1):
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Kirthi Raman Kirthi Raman
Author Profile Icon Kirthi Raman
Kirthi Raman
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Table of Contents (16) Chapters Close

Mastering Python Data Visualization
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. A Conceptual Framework for Data Visualization 2. Data Analysis and Visualization FREE CHAPTER 3. Getting Started with the Python IDE 4. Numerical Computing and Interactive Plotting 5. Financial and Statistical Models 6. Statistical and Machine Learning 7. Bioinformatics, Genetics, and Network Models 8. Advanced Visualization Go Forth and Explore Visualization Index

The visualization example in sports


Let's consider a different example here to illustrate the various different approaches to visualizing data. Instead of choosing a computational problem, we will restrict ourselves to a simple set of data, and show how many different analyses can be done that ultimately result in visualizations, to help in clarifying these analyses.

There are several major league sports in North American sports, and we will compare four of them: The National Football League (NFL), Major League Baseball (MLB), National Basketball Association (NBA), and National Hockey League. NFL has a combined team value of 9.13 billion dollars and a total revenue of 9.58 billion dollars. We will select this sport with the following data of team values and their championships (only part of the data is shown here):

The team value is one significant factor in comparing different teams, but championships also have a value. A simple plot of this data with years completed along the x axis, the...

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