Skip to main content
Beta
This lesson is in the beta phase, which means that it is ready for teaching by instructors outside of the original author team.
Light
Dark
Auto
Instructor View
Learner View
Menu
Interactive Data Visualizations in Python
Interactive Data Visualizations in Python
Key Points
Instructor Notes
Extract All Images
More
Discussion
Glossary
Search the All In One page
Interactive Data Visualizations in Python
Toggle Theme
Light
Dark
Auto
Instructor View
Learner View
EPISODES
Summary and Schedule
1. Why make interactive visualizations?
2. Create a New Environment
3. Data Wrangling
4. Create Visualizations
5. Create the Streamlit App
6. Refactoring Code for Flexibility (Prepping for Widgets)
7. Add Widgets to the Streamlit App
8. Publish Your Streamlit App
RESOURCES
Key Points
Instructor Notes
Extract All Images
Discussion
Glossary
See all in one page
Learner Profiles
This is a placeholder file. Please add content here.
Back
To Top