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Source file : drive.google.c...
Remember that it is not because an observation is considered as a potential outlier by the IQR criterion that you should remove it. Removing or keeping an outlier depends on (i) the context of your analysis, (ii) whether the tests you are going to perform on the dataset are robust to outliers or not, and (iii) how far is the outlier from other observations.