What are the alternatives to winsorizing in data analysis?
There are several alternatives to winsorizing, such as trimming, robust statistical methods, and using transformations.
Can you explain how trimming works?
Trimming involves removing a certain percentage of the highest and lowest values from your dataset to reduce the influence of outliers.
What are robust statistical methods?
Robust statistical methods are techniques that are not unduly affected by outliers, such as median and interquartile range.
When should I use transformations instead?
Transformations, like log or square root, can stabilize variance and make data more normally distributed, which is useful for certain analyses.
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