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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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Toc

Table of Contents (11) Chapters Close

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 A. Go Forth and Explore Visualization Index

Creating interesting stories with data


Data visualization regularly promotes its ability to reveal stories with data, and in some cases, reveal the not so trivial stories visually. In the recent past, journalists have been integrating visualizations more into their narratives, often helping us better understand their stories. In the commercial world, there are few that grasp the ways in which data can be associated with a meaningful story that appeals both emotionally and intelligently to the audience. As Rudyard Kipling wrote, If history were taught in the form of stories, it would never be forgotten; a similar thought applies to data. We should, therefore, understand that data would be understood and remembered better if presented in the right way.

Why are stories so important?

There are many tools and methods of visualization that we have today: bar and pie charts, tables, line graphs, bubble charts, scatter plots, and so on—the list is long. However, with these tools, the focus is on data...

You have been reading a chapter from
Mastering Python Data Visualization
Published in: Oct 2015
Publisher:
ISBN-13: 9781783988327
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