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Introduction Data graphics visually display measured quantities by means of the combined use of points, lines, a coordinate system, numbers, symbols, words, shading, and color. The use of abstract, non-representational pictures to show numbers
In 'The Visual Display of Quantitative Information, 2nd Ed.', Edward R. Tufte explores the art of data visualization, emphasizing the importance of clarity, precision, and graphical integrity in presenting quantitative information.
Here we will see two complex cases of the analysis and display of evidence—the celebrated investigation of a cholera epidemic by Dr. John Snow and the unfortunate decision to launch the space shuttle Challenger. Although we often hear that data speak for themselves, their voices can be soft and sly.
Theory and practice in the design of data graphics, 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.
Information layers and architectures emerge best when data display elements serve multiple functions. Different readings at different levels of detail (micro/macro) serve this goal well.
Edward Tufte’s "The Visual Display of Quantitative Information" offers a comprehensive guide to best practices in designing data graphics that are both effective and aesthetically pleasing.
Edward Tufte's groundbreaking 1983 book, The Visual Display of Quantitative Information, changed all of that.
The substantive content, extensiveness of labels, and volume and ordering of data all help determine the choice of method for the display of quantitative materials.
August 16, 2022.
This paper is intended to give the visualization practitioner an overview of Edward Tufte's work on information display. Dr. Tufte has written two classic books on information display: The Visual Display of Quantitative Information and Envisioning Information.