Hands-on Data Visualization with Bokeh | 8. The Bokeh Workflow – A Case Study

This is the “Code in Action” video for chapter 8 of Hands-on Data Visualization with Bokeh by Kevin Jolly, published by Packt. It includes the following topics:

00:00 The exploratory data analysis
00:15 Creating the base plot
00:33 Mapping tech stocks
00:57 Adding a hover tool

Hands-on Data Visualization is available from:

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.

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Video created by Kevin Jolly