The Elements of Graphing DataContains graphical methods and principles for visualizing data in science and technology. Emphasizes the basic ideas, methods, and principles for creating readable graphs through an understanding of human visual and graphical perception, with a small section on computer graphics. Covers graphical methods, such as logarithms, visual reference grids, and statistical variation, and issues in graphical perception, including superposed curves, color encoding, and graphing along a common scale. Annotation copyright by Book News, Inc., Portland, OR |
What people are saying - Write a review
Reviews aren't verified, but Google checks for and removes fake content when it's identified
LibraryThing Review
User Review - encephalical - LibraryThingReview is for the 1994 revised edition. Cleveland is referenced all over the place, almost as much as Tufte, so I decided I should read it. After the title, it aims to be the plotting version of ... Read full review
LibraryThing Review
User Review - lorin - LibraryThingWhere Tufte gives you a good high-level view about displaying info through graphics, Cleveland gets into the nuts and bolts of the issue. This work is actually more useful than Tufte's book, as it ... Read full review
Other editions - View all
Common terms and phrases
allows amount appears aspect ratio assembly average banked to 45 bars base break caption charts circles color common compared computed confidence connecting curve data sets decrease dependence detection deviation discussed display distribution dot plot effective efficient elements encoding equal error error bars estimation example experiment factor Figure four function graph graphical graphical method hardness horizontal scale illustrated important increase interval Italy judge labels length less line segments loess loss mean measurements method observations operations orientations overlap ozone panel of Figure pattern perception period physical plotting symbols points position principles quantitative radiation range rectangle residuals result sample scale line scale-line rectangle scatterplot scores shown shows slope space standard statistical superposed Suppose temperature tick marks top panel units values variable variation vertical scale visual weights wind speed zero