Detecting Trends and Anomalies in Datasets Using Practical Methods

Ravendracroma10 Feb, 2026Education

Detecting trends and anomalies involves analyzing historical data using time-series analysis, statistical measures, and visualization. Techniques like moving averages, regression, clustering, and outlier detection help identify patterns, sudden changes, or unusual behavior, enabling businesses to act early and make data-driven decisions.