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The Grammar of Graphics by Leland Wilkinson
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The Grammar of Graphics

by Leland Wilkinson

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The first part is on developing a grammar of graphics for statistical charting and is possibly relevant to general info vis. This material is why I purchased the book in the first place, because I was looking for some background on H. Wickham's ggplot2. Incidentally, anyone looking for same would be better served just reading the original ggplot2 paper. As such, Wilkinson gives a relatively straight forward look at the constituent grammatical parts and their interaction.

The second part of the book is more theoretical and philosophical in tone. Sections will go by without any direct reference to the grammar, but the issues raised are certainly things I've struggled with when doing ad hoc charting in systems without a grammar, like Processing.

This is not a book for idle browsing. In particular, there are example figures which are suboptimal or not recommended which are not clearly labeled as such necessitating reading the full discussion in the text to find out which these are. This is also not the book for just learning to do statistical graphics (for which I'd recommend H. Wickham, N. Yau, etc.). It might be a book for implementers of comprehensive statistical graphing applications. ( )
  encephalical | Dec 13, 2018 |
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Amazon.com Product Description (ISBN 0387245448, Hardcover)

Presents a unique foundation for producing almost every quantitative graphic found in scientific journals, newspapers, statistical packages, and data visualization systems The new edition features six new chapters and has undergone substantial revision. The first edition has sold more than 2200 copies. Four color throughout.

(retrieved from Amazon Thu, 12 Mar 2015 18:13:43 -0400)

(see all 2 descriptions)

"This book was written for statisticians, computer scientists, geographers, researchers, and others interested in visualizing data. It presents a unique foundation for producing almost every quantitative graphic found in scientific journals, newspapers, statistical packages, and data visualization systems. While the tangible results of this work have been several visualization software libraries, this book focuses on the deep structures involved in producing quantitative graphics from data. What are the rules that underlie the production of pie charts, bar charts, scatterplots, function plots, maps, mosaics, and radar charts? Those less interested in the theoretical and mathematical foundations can still get a sense of the richness and structure of the system by examining the numerous and often unique color graphics it can produce. The second edition is almost twice the size of the original, with six new chapters and substantial revision. Much of the added material makes this book suitable for survey courses in visualization and statistical graphics."--Jacket.… (more)

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