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Hands-On Data Visualization with Bokeh

You're reading from   Hands-On Data Visualization with Bokeh Interactive web plotting for Python using Bokeh

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781789135404
Length 174 pages
Edition 1st Edition
Languages
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Author (1):
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Kevin Jolly Kevin Jolly
Author Profile Icon Kevin Jolly
Kevin Jolly
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Table of Contents (10) Chapters Close

Preface 1. Bokeh Installation and Key Concepts FREE CHAPTER 2. Plotting using Glyphs 3. Plotting with different Data Structures 4. Using Layouts for Effective Presentation 5. Using Annotations, Widgets, and Visual Attributes for Visual Enhancement 6. Building and Hosting Applications Using the Bokeh Server 7. Advanced Plotting with Networks, Geo Data, WebGL, and Exporting Plots 8. The Bokeh Workflow – A Case Study 9. Other Books You May Enjoy

Summary

In this chapter, you learned how to build a real-time Bokeh visualization that can be used to analyze the performance of stocks from scratch. You learned how to perform initial exploratory data analysis in order to determine the kind of visualization that you wanted to create. You then created the visualization and improved its performance using WebGL.

Finally, you learned the four steps that form an integral part of the Bokeh workflow. You learned how asking the right kinds of questions is pivotal in any data visualization project, followed by the exploratory data analysis. You also learned how presenting your results is not limited to the type of plot you use, but also the tone of the message that you want to convey to the audience.

This concludes the book! I hope the book has given you an informative, hands-on introduction to the world of Bokeh! I hope you will continue...

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