Data Visualization with Bokeh
Coming July 2017…
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
- 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.
Enhancing charts, graphs, and plots with interactivity makes for a better user experience.
Ken W. Alger
Ken has a long history around computers starting with early Commodore PETs and VIC-20s. He enjoys discussing programming and how to get started in the tech industry. He is a MongoDB Certified Developer and likes database and data related topics.
He lives in Oregon with his wife and three children. He can be found most places online @kenwalger.