Data Visualization: Building Interactive Visualizations with Bokeh


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description
An interactive visualization library, Bokeh allows users to create diverse graphics and highly interactive dashboards and data applications. In this course, you'll achieve a foundational knowledge of using Bokeh to build simple graphs and visualizations. You'll start by exploring how to install Bokeh on your local machine, display charts inline within your Jupyter notebooks, and create an interactive visualization. You'll then recognize how to save Bokeh charts as HTML and PNG files. Next, you'll investigate how to visualize categorical data using bar charts, stacked bar charts, and clustered bar charts. You'll also identify how to implement pie charts and donut charts to represent compositions in your data. You'll finish the course by examining the ease of interactivity and granular customizations that Bokeh offers.

Expected Duration (hours)
1.1

Lesson Objectives

Data Visualization: Building Interactive Visualizations with Bokeh

  • discover the key concepts covered in this course
  • use Jupyter notebooks to install and import Bokeh
  • create a Bokeh chart and save it in PNG and HTML formats
  • display your visualization inline in a Jupyter notebook
  • visualize data using a bar chart
  • visualize data using a stacked bar chart
  • represent data using a clustered bar chart
  • visualize proportions in data using pie charts
  • visualize proportions in data using donut charts
  • summarize the key concepts covered in this course
  • Course Number:
    it_davbapdj_01_enus

    Expertise Level
    Beginner