analysis of outliers

Outliers are data points that differ significantly from other observations in a dataset. Analyzing outliers helps identify unusual variations, errors, or rare events that may impact the results. This process involves examining the data to determine whether outliers are genuine or mistakes, understanding their cause, and deciding whether to include or exclude them in analysis. Recognizing outliers ensures more accurate insights and better decision-making, as they can influence averages, trends, and overall patterns. Proper outlier analysis helps maintain the integrity and reliability of data-driven conclusions.