How do you treat outlier data?
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Answer / Akhilendra Kumar Pandey
Outlier data, also known as anomalies, can significantly impact the results of statistical analysis. There are several methods to identify and handle them.nnOne common method is visual inspection using box plots or scatterplots. If an observation appears far from the main body of data, it may be considered an outlier.nAnother approach is to use statistical methods like Z-scores or the IQR (Interquartile Range) rule. Outliers can also be treated by removing them entirely, using robust statistics that are less sensitive to outliers, or imputing values for them based on other data points.
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