Hands-On Data Visualization with Bokeh
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.
Offered by
Difficulty Level
Intermediate
Completion Time
5h48m
Language
English
About Book
Who Is This Book For?
This book is well suited for data scientists and data analysts who want to perform interactive data visualization on their web browsers using Bokeh. Some exposure to Python programming will be helpful, but prior experience with Bokeh is not required.
Hands-On Data Visualization with Bokeh
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 5h48m total length
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
Related Resources
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