The number of information carrying dimensions should not exceed number of dimensions in data In time series display, use standardized monetary units Show data variations, not design variations Clear, detailed and thorough labeling should be used to defeat graphical distortions and ambiguity Representation of numbers present in the graphic should be directly proportional to numerical quantities reported The Six principles of Graphical Integrity: Lying Graphic cheapen graphical art everywhere. Show data variation not design variation.Ĭontext is important for Graphical Integrity - compared to what? Lie Factor = size of effect shown in graphic/ size of effect in data Part 1 - 2) Graphical Practice: Graphical Integrity:įor many of us, we constantly think of lies when we look at a graphic or statistic.Īround 1960, John Turkey made Graphical Practice respectable. Most Modern Graphics are relational - x, y that encourages to find out casual relationship. Descriptive Chronology is not casual expression.Ĭharles Minard, the French Engineer who explained Napoleon’s army - combination of data-map and time series. Two Greatest Scientist of Modern Graphical Design are J.H Lambert, Swiss German Mathematician and William Playfair, Scottish political economist. Every Graph or Visualization should let the user to think about the data, not the methodology or technique It is about clarity in communicating with precision, efficiency that shows data, induce user to think about substance of visualization, avoid distortion, present many numbers in small space, make large datasets coherent, encourage eye to compare various pieces of data, reveal data at several layers of detail, serve clear purpose, be closely integrated with statistical and verbal description of data. It consists of communicating complex ideas communicated with clarify, precision and efficiency. It gives the viewer the greatest number of ideas in the shortest time with least amount of ink space. Tufte’s summarizes by saying, it is a matter of substance, statistics, and of design. Part I - 1) Graphical Practice: Graphical Excellence: Part III - Design for Display of Information It's simple read and won't take much time.ģ Sources of Graphical Integrity and SophisticationĢ – Chart junk: Vibrations, Grids and Ducksģ - Data Ink Maximization and Graphical DesignĦ - Aesthetics and Technique in Data Graphical Design I highly recommend anyone into UX/UI to go through this book. This is Classic in the field of Visualization. The 2nd edition provides high-resolution color reproductions of the many graphics of William Playfair (1750-1800), adds color to other images where appropriate, and includes all the changes and corrections during the 17 printings of the 1st edition. Information on aesthetics and data graphical displays is included. data variation, and sources of deception are discussed. Time-series, relational graphics, data maps, multivariate designs, as well as detection of graphical deception: design variation vs. Also offered is information on the design of the high-resolution displays, small multiples, editing and improving graphics, and the data-ink ratio. It 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. This book deals with the theory and practice in the design of data graphics and makes the point that the most effective way to describe, explore, and summarize a set of numbers is to look at pictures of those numbers, through the use of statistical graphics, charts, and tables.
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