References

Huntington-Klein, Nick. The Effect: An Introduction to Research Design and Causality. CRC Press, Taylor & Francis Group, 2022. Online: https://theeffectbook.net/

Pearl, Judea, and Dana Mackenzie. The Book of Why: The New Science of Cause and Effect. First trade paperback edition, Printing 2, 2021, Basic Books, 2021.

Wilke, C. Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures. First edition, O’Reilly Media, 2019. Online: https://clauswilke.com/dataviz/

Wickham, Hadley, et al. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. 2nd edition, O’Reilly Media, Inc, 2023. Online: https://r4ds.hadley.nz/

Ananthaswamy, Anil. Why Machines Learn: The Elegant Math behind Modern AI. Dutton, 2024.