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Bezig met laden... The Elements of Graphing Data (1985)door William S. Cleveland
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Meld je aan bij LibraryThing om erachter te komen of je dit boek goed zult vinden. Op dit moment geen Discussie gesprekken over dit boek. Where 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 gives a lot more practical advice on how to organize your graphs to convey the right level of information. geen besprekingen | voeg een bespreking toe
Contains 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 Geen bibliotheekbeschrijvingen gevonden. |
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Google Books — Bezig met laden... GenresDewey Decimale Classificatie (DDC)001.4226Information Computer Science; Knowledge and Systems Knowledge Research Research methods Statistical methodsLC-classificatieWaarderingGemiddelde:
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Many of the suggestions are a product of the technology available at the time. Much of the practical advice relates to print and fixed media with what I'd consider pretty skimpy amounts of data today, i.e., only in the hundreds of data points at most (though most of the charts have barely a dozen data points.) Other advice would seem to be irrelevant when interactive searching, sorting, highlighting, visibility on mouse hover, etc., is available. On the other hand, a techniques like banking to 45 degrees should be even easier in a digital context because of less restriction on aspect ratio and the potential to zoom in and out of a plot. ( )