Data Visualization
Reference documents in Data Visualization.
Documents in Data Visualization
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This open access book provides a robust exposition of the mathematical foundations of data representation, focusing on two essential pillars of dimensionality reduction methods, namely geometry in general and Riemannian geometry in particular, and category theory.
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This book describes the many ways that raw and summary data can be turned into visualizations that convey meaningful insights. It is written for those new to data analysis as well as the seasoned data scientist.
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This is a book for beginner to intermediate Python developers and will guide you through simple data manipulation with Pandas, cover core plotting libraries like Matplotlib and Seaborn, and show you how to take advantage of declarative and experimental libraries like Altair.
