Week 3: Exploring Dataframes — grouping and plotting

Learning Objectives

By the end of this week, students will be able to:

• Use groupby to aggregate data across categories
• Apply aggregation functions (mean, count, sum) to grouped data
• Produce basic plots (histograms, bar charts, scatter plots) with matplotlib or seaborn
• Interpret visualizations critically and describe what they show and hide

Perspectival Reading

Reading: TBD

Reflection Questions

1. Aggregation compresses individual experiences into summary statistics. What is lost in that compression?
2. Visualizations make certain patterns visible and others invisible. Who designs them, and for whom?
3. The choice of grouping variable structures what stories a dataset can tell. What stories go untold?

Slides

View slides

Notebook Demo

Open in Google Colab (link TBD)

Lab Assignment

Week 3 Lab — GitHub Classroom (link TBD)