Seaborn

Summary

A statistical visualization library built on matplotlib with sensible defaults — the fastest way to produce clean EDA plots (distributions, correlations, categorical comparisons).

• 1Practice `histplot`, `boxplot`, `pairplot` and `heatmap` on a real dataset.
• 2Use a correlation heatmap to spot relationships between features.
• 3Compare the same chart in matplotlib vs. seaborn to see the productivity difference.