Hands-on Data Visualization with Bokeh | 6. Building and Hosting Applications Using the Bokeh Server

This is the “Code in Action” video for chapter 6 of Hands-on Data Visualization with Bokeh by Kevin Jolly, published by Packt. It includes the following topics:
00:00 Creating a single slider application
00:23 Creating a multi-slider application
00:54 Combining the slider application with a scatter plot
01:31 Combining the slider application with a line plot
02:08 Creating an application with the select widget
02:27 Creating an application with the button widget
03:06 Creating an application to select different columns

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