This bibliography covers a handful of books on visualization that you may find helpful, as well as others that were mentioned in some fashion in the text.

Acquire and Parse

Not many books exist that cover acquiring and parsing data, which is part of the reason that we covered such a broad range of topics in Chapters 10 and 11. These chapters include more specific references for some topics.

Fisher, Maydene, Ellis Jon, and Bruce Jonathan. JDBC API Tutorial and Reference. 3rd ed. Upper Saddle River, NJ: Prentice Hall, 2003. This is the book for those who want to learn how to use databases with Java (and Processing).

Wilson, Greg. Data Crunching: Solve Everyday Problems Using Java, Python, and More. Raleigh, NC: The Pragmatic Bookshelf, 2005. This is one of the few books I’ve found that covers the sort of detective work described in Chapters 10 and 11. A useful (and indeed pragmatic) handbook that covers acquiring and parsing data in different languages, and the trade-offs for each.

Filter and MineFayyad, Usama, G Georges. Grinstein, and Wierse Andreas, eds. Information Visualization in Data Mining and Knowledge Discovery. San Francisco: Morgan Kaufmann, 2002. From the editor: “This book is the result of two workshops whose goals were to open up the dialog between researchers in visualization and data mining, two key areas involved in data exploration.” This book is an esoteric collection of papers with a few that I found extremely insightful.

Garfinkel, Simson. Database Nation: ...

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