Correlation analysis for movies watched explores the relationship between different variables such as genres, ratings, release years, and viewer preferences. By analyzing patterns in a dataset, you can identify how specific factors (e.g., genre or director) influence movie ratings or the likelihood of a movie being watched. This data-driven approach helps uncover insights that can predict future movie preferences or trends.