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Whether on purpose or not, a statistician can mislead an audience with a chart. This article explains some chart design principles and common mistakes novice data analysts make. Think about the statistical charts you have seen on billboards, in the news, and in research studies. Using these principles as a guide, would you classify any of those charts as misleading? Be sure to take note of the suggestions for successful dashboards.
Make charts easy to read
Don't use a legend when you have only one data category
If there is only one value category plotted in your chart, then there is no need to have a legend. The necessary information can be included in the title instead. Alternatively, you can label the axis directly.