👉 Profiling is a process used in data analysis to identify patterns, trends, and characteristics of large datasets. It involves using statistical methods to examine data sets for potential anomalies or outliers, which can be useful for making informed decisions based on these insights. Profiling tools often include techniques such as clustering, classification, regression, and association rule mining, among others. The goal is to identify patterns in the data that may not be obvious from a simple inspection of individual observations.
