Learn how to use box plots to identify and handle outliers in risk data. Box plots show the median, quartiles, range, and outliers of a data set.

Learn how to create, interpret, and deal with outliers using box plots, a simple and effective data visualization tool for operations research.

Conclusion In conclusion, the thorough exploration of the Employees dataset using Z-score, descriptive statistics, and box plots revealed no outliers. The absence of outliers suggests that the dataset ...

A robust method for labelling outliers is the IQR (interquartile range) method of outlier detection developed by John Tukey, the pioneer of exploratory data analysis. This was in the days of ...

As the most popular Python software repository, PyPI has become an indispensable part of the Python ecosystem. Regrettably, the open nature of PyPI exposes end-users to substantial security risks ...