What they do:

Compute rolling statistics (e.g., moving averages).

Key Concepts:

• Rolling Windows: Fixed-size (e.g., 7-day average).
• Expanding Windows: Cumulative (e.g., running total).
• Exponential Weighting: Recent data gets more importance.

Why they matter:

Essential for smoothing trends and detecting patterns in sequential data.