Hardcover, 197 pages
English language
Published Feb. 26, 1992 by Graphics Press.
The subject of this book is on statistical graphics, charts, tables. It deals with the theory and practice in the design of data graphics, and includes 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. Also offered is information on the design of the high-resolution displays, small multiples, editing and improving graphics, and the data-ink ratio. Time-series, relational graphics, data maps, multivariate designs, as well as detection of graphical deception: design variation vs. data variation, and sources of deception are discussed. Information on aesthetics and data graphical displays is included.
Great, short read for anyone interested in (or who is responsible for) data visualization.
But maybe more importantly: I love this genre of works where you can feel the authors passion for a niche subject.
Excellent fun for fans of the "subject matter expert disses their peers in highly specific ways" genre 📈
Excellent fun for fans of the "subject matter expert disses their peers in highly specific ways" genre 📈
Wonderful book, but haven't managed to make use of it in my work
Wonderful book, but haven't managed to make use of it in my work
An absolutely essential manual for anyone working in graphics who wants to use data analysis or quantitative information in any way. The book doesn't offer concepts, just information, and it is clear and comprehensive.
An absolutely essential manual for anyone working in graphics who wants to use data analysis or quantitative information in any way. The book doesn't offer concepts, just information, and it is clear and comprehensive.
A defining work
One of the most important books I've read and reread. Especially useful for those doing scientific data analysis, but I recommend it to anyone who has ever looked at a chart or graph (that means everyone).
One of the most important books I've read and reread. Especially useful for those doing scientific data analysis, but I recommend it to anyone who has ever looked at a chart or graph (that means everyone).
