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A measure for the degree to which a visualization misrepresents data is called the lie factor.
The term for the measure of misrepresentation in data visualization is the 'lie factor', defined as the ratio of representation difference to measured data difference. A 'lie factor' outside the range of 0.95 to 1.05 indicates significant distortion in the visual representation.
Examples of distortion can include misleading pie charts, where the visual representation may exaggerate or minimize the true proportions. Similarly, using incorrect baselines in bar charts or inappropriate visual variables like 'hue' for quantitative data can also lead to misrepresentation.
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