Book

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 approx.

Language

English

Certification

Not available

About Course

Book Content

chapters • 5h48m total length

1. Bokeh installation and key concepts

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

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