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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

Advanced Plotting with Networks, Geo Data, WebGL, and Exporting Plots

Adding interactivity to plots that are used to visualize networks such as social networks and transport networks allows the user to highlight and interact with the specific parts that they are interested in, while ignoring the rest of the network. This is particularly useful when you have a large and complex network.

Interactivity in geographic data is particularly useful when it comes to extracting information about a specific location of interest, instead of looking at the entire plot. Such geo-based visualizations help us zoom into locations and embed these maps into our applications.

When working with large and complex datasets, it is in our best interests to exploit the performance of Bokeh fully in terms of speed. We can do this with WebGL.

Finally, there are certain cases in which we might want to publish...

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