Graphical excellence is nearly always multivariate. According to Tufte the Lie Factor of this graph is 14.8. » Excel Tips » Graphical Excellence Graphical Excellence I've recently had the good fortune to stumble across Edward Tufte's books on the Visual Display of Quantitative Information (Graphics Press … Graphics must not quote data out of context. Or, when values are tightly packed in one area, and sparse in another, there is a desire and tendency to spread things out evenly. We begin with some basic ideas about data visualization from Edward Tufte (The Visual Display of Quantitative Information (2nd ed.)) Data Ink is the ink on a graph that represents data. Here is one of Tufte’s examples of a graph with low graphical integrity. In Chapter 2, he presents the following Principles of Graphical Integrity: The representation of numbers as physically measured on the surface of the graphic itself, should be directly proportional to the numerical quantities represented. A numerical change of 53% is represented by a graphical change (size of horizontal lines) of 783%. For each principle, we outline examples of how to apply it to improve your visualizations. Tufte’s principles serve as a guide for how to accurately portray data using visual elements. One of the biggest violations is scaling data results, including line charts, disproportionately to fit a space. And graphical excellence requires telling the truth. Graphical excellence is that which gives to the viewer the greatest number of ideas in the shortest time with the least ink in the smallest space. Each should be geared towards fully embracing the goals you defined for a given data display. Principles of Data Visualization by James Bernhard Spring 2012. Data-Ink. Graphical excellence requires telling the truth about data. Tufte suggests six fundamental principles of design: show comparisons, show causality, use multivariate data, completely integrate modes (like text, images, numbers), establish credibility, and focus on content.

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