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Hands-On Data Visualization with Bokeh
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Hands-On Data Visualization with Bokeh
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Overview of this book
Adding a layer of interactivity to your plots and converting these plots into applications hold immense value in the field of data science. The standard approach to adding interactivity would be to use paid software such as Tableau, but the Bokeh package in Python offers users a way to create both interactive and visually aesthetic plots for free. This book gets you up to speed with Bokeh - a popular Python library for interactive data visualization.
The book starts out by helping you understand how Bokeh works internally and how you can set up and install the package in your local machine. You then use a real world data set which uses stock data from Kaggle to create interactive and visually stunning plots. You will also learn how to leverage Bokeh using some advanced concepts such as plotting with spatial and geo data. Finally you will use all the concepts that you have learned in the previous chapters to create your very own Bokeh application from scratch.
By the end of the book you will be able to create your very own Bokeh application. You will have gone through a step by step process that starts with understanding what Bokeh actually is and ends with building your very own Bokeh application filled with interactive and visually aesthetic plots.
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Current Title:
Hands-On Data Visualization with Bokeh
Table of Contents (10 chapters)
Preface
Free Chapter
Bokeh Installation and Key Concepts
Plotting using Glyphs
Plotting with different Data Structures
Using Layouts for Effective Presentation
Using Annotations, Widgets, and Visual Attributes for Visual Enhancement
Building and Hosting Applications Using the Bokeh Server
Advanced Plotting with Networks, Geo Data, WebGL, and Exporting Plots
The Bokeh Workflow – A Case Study
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