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Outlier Detection Techniques in R

Outliers are data the points that deviate noticeably far from other data points in a dataset. They can arise for a variety of causes, including measurement errors, experimental errors, or normal data variance. Outliers can significantly affect statistical analysis since they might distort results and make it challenging to draw reliable conclusions. In statistical analysis, outliers must be correctly identified and handled. There are several techniques for detecting outliers, including statistical techniques like the z-score, cooks distances and interquartile range as well as pictorial techniques like box plots and scatter plots.