Irregularity, often referred to as an anomaly, is a deviation from the expected norm or standard. It can occur in various fields, such as statistics, science, and finance, where data points or observations do not align with established patterns or trends. Identifying these irregularities is crucial for understanding underlying issues or for making informed decisions. In healthcare, for example, an anomaly in a patient's test results may indicate a potential health concern that requires further investigation. Similarly, in machine learning, detecting anomalies in data can help improve algorithms by identifying outliers that may skew results. Recognizing and analyzing irregularities is essential for accurate assessments and interventions.