How do you detect outliers in a dataset? What strategies can you use to handle them, and when might you want to keep outliers rather than remove them?

Sample answer preview

Outliers are data points that differ significantly from other observations. They can arise from measurement errors, data entry mistakes, or genuine rare events. Proper handling requires first detecting them, then deciding whether to remove, transform, or keep them.