It’s always fascinating to observe outliers and understand them. Outliers are the data points that don’t seem to fit well with rest of the data population. It is interesting that data points with outlier behavior are ‘outlier’ but can be found in almost every dataset that you get your hands on. Identifying outliers is always one of the first few things that a person understanding the data or interpreting the data should do. I would like to argue that it is a sin to infer from data without understanding outliers in that dataset.