Statistical anomalies

Statistical anomalies are unusual or unexpected data points that differ significantly from the general trend or pattern of a dataset. They can suggest rare events, errors in data collection, or underlying factors not previously apparent. For example, a sudden spike in sales during a normally quiet period might be an anomaly, indicating a special promotion or external influence. Recognizing anomalies helps analysts identify important insights, detect errors, or understand exceptional circumstances. In essence, they are the "outliers" that stand out from the typical data behavior and warrant further investigation.