Data Visualization with Bokeh Course (How To)

Learn how to use the Bokeh library to generate interactive charts, graphs, and other visualizations using Python. We'll explore a world population data set and see how to generate different charts using this powerful library.

What you'll learn

• Bokeh library
• ColumnDataSource
• Chart Legends and HoverTools
• Interactivity with charts

Getting and Displaying Data

Before we can utilize Bokeh to visualize data we need to know how to get it into a Bokeh friendly format. There are lots of different ways to use and display the data as well, so we need to make sure to show what our data means.

Chevron 5 steps

• Course Introduction

  4:10

• Getting Started with Bokeh

  6:32

• Bokeh's ColumnDataSource

  10:22

• Colors and Legends

  6:12

• Review: Introducing Bokeh

  4 questions

Interactive Visualization

Enhancing charts, graphs, and plots with interactivity makes for a better user experience.

Chevron 4 steps

• Hover Tools

  5:30

• Linking Data

  11:40

• Plotting the World

  16:35

• Review: Bokeh Visualizations

  5 questions