1. Prepare (due Mon 1/27)
   1. Content below
   2. Sakai quizzes
2. Class engagement – See on the class forum
3. Homework (due Sun 2/2) [Link]
4. Worked Examples [Link]

Content

03.A – Data Visualization and Design

1. Why Visualize? (11 min.)
2. Kinds of Data (7 min.)
3. Basic Plot Types (12 min.)
4. Dos and Don’ts (10 min.)

03.B – Visualization in Python

1. Intro to Python Visualization Landscape (7 min.)
2. Seaborn Introduction (17 min.)
3. Seaborn Examples (17 min.)

Optional Supplements

• Official Seaborn Tutorial
• Official Seaborn API Documentation
• Official Matplotlib Tutorials
• Pandas Visualization User Guide