Fundamentals of Data Visualization, Claus O. Wilke, 2019 (O'Reilly Media) - Covers principles and techniques for effective data visualization, including detailed explanations of common plot types discussed in the section.
An Introduction to Statistical Learning with Applications in R, Gareth James, Daniela Witten, Trevor Hastie, Rob Tibshirani, 2021 (Springer) - Provides a statistical foundation for understanding data, including methods for visualizing distributions and relationships between variables.
Seaborn: Statistical Data Visualization, Michael Waskom and the Seaborn development team, 2024 - Official documentation for the Python library, providing guides and examples for creating statistical plots like histograms, box plots, and scatter plots.
Python for Data Analysis, Wes McKinney, 2022 (O'Reilly Media) - A practical guide to data manipulation and analysis in Python, including sections on using Matplotlib and Seaborn for creating various types of data visualizations.