A tutorial on how to detect outliers using standard deviation, interquartile range, isolation forest, DBSCAN, and local outlier factor — Outliers are data points that are far away from the majority of the observations in the dataset. Outliers can appear for many reasons such as natural deviations in population behavior, fraudulent activities, and human or system errors. However, detecting and identifying outliers is essential before running any statistical analysis or…