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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
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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

This chapter has shed light on all the different tools that you can utilize to add layers of interactivity and visually appealing aesthetics to your plots.

You have learned how to use annotations to add titles, legends, and categorical color maps to your plots in order to convey supplemental information about the plot. You also learned how to build all the different types of widget that Bokeh offers in order to make your plots more interactive. Finally, you also learned about visual attributes that add both interactivity and style to your visualizations.

In the next chapter, you will learn how to combine everything you have learned in this chapter and the previous chapters into an interactive application that will enthrall both yourself and the users of your plots!

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