Data Visualization with Bokeh
Treehouse
Course Summary
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.
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Course Description
About this Course 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
About the Teacher
He lives in Oregon with his wife and three children. He can be found most places online @kenwalger.
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Course Syllabus
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. 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. 4 steps
This course is listed under
Open Source
, Development & Implementations
and Data & Information Management
Community
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