How do anomaly?

Anomalies are deviations from expected patterns or behaviors in data, which can indicate significant events or changes. They are often identified through statistical methods, machine learning algorithms, or visual inspection. Detecting anomalies is crucial in various fields such as finance, healthcare, and cybersecurity, as they can signal fraud, system failures, or emerging trends. Effective anomaly detection helps organizations respond proactively to potential issues.