9. Visualization

1. Seeing Data

Anscombe's Quartet teaches us: Statistics can lie. Visuals tell the truth.

Matplotlib

The engine. Low level control. Use it when you need to tweak every pixel.

python
plt.plot(x, y)

Seaborn

The interface. Statistical beauty. Use it for Heatmaps, Distributions, and Pair plots.

python
sns.heatmap(df.corr(), annot=True)