References

For additional reading, check out the following books and articles:

• Add Marginal Plot to ggplot2 Scatterplot Using ggExtra Package in R (https://statisticsglobe.com/ggplot2-graphic-with-marginal-plot-in-r)
• 5 Things You Should Know About Covariance (https://towardsdatascience.com/5-things-you-should-know-about-covariance-26b12a0516f1)
• Mahalanobis Distance and its Limitations (https://rpubs.com/jjsuarestra99/mahalanobis)
• Box-Cox Transformation Explained (https://towardsdatascience.com/box-cox-transformation-explained-51d745e34203)
• How to Use Power Transforms for Machine Learning (https://machinelearningmastery.com/power-transforms-with-scikit-learn/)
• The Relationship between the Mahalanobis Distance and the Chi-Squared Distribution (https://markusthill.github.io/mahalanbis-chi-squared/)
• Using the recipes package for easy pre-processing (http://www.rebeccabarter.com/blog/2019-06-06_pre_processing/)
• Anomaly detection (https://docs.microsoft...