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Use of appropriate scale prevents distortion from "summary" of The Visual Display of Quantitative Information by Edward R. Tufte

The choice of scale in a visualization is crucial in maintaining accuracy and clarity. Using an appropriate scale prevents distortion of the data being presented. When a scale is too large or too small, it can misrepresent the information and lead to erroneous interpretations. For example, if a scale is compressed, it can make small differences in data appear larger than they actually are. This exaggeration can draw attention to insignificant details and distract from the main patterns or trends in the data. On the other hand, if a scale is expanded, it can flatten out the differences between data points, making important distinctions harder to discern. By carefully selecting a scale that accurately represents the range of values in the data, a visualization can effectively communicate the information without introducing bias or distortion. This requires an understanding of the data being presented and the context in which it is being viewed. It also involves considering the audience and their level of familiarity with the subject matter.
  1. The use of an appropriate scale is essential for creating a visual display that is both informative and truthful. It allows viewers to interpret the data accurately and draw meaningful conclusions from the information presented. Without a proper scale, a visualization runs the risk of misinforming or misleading its audience. Therefore, choosing the right scale is a fundamental aspect of creating effective visual displays of quantitative information.
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The Visual Display of Quantitative Information

Edward R. Tufte

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