Question 4 of 10Pro Only

What are common ways that data visualizations can mislead viewers, even unintentionally? How do you ensure your charts are honest and accurate?

Sample answer preview

Misleading visualizations erode trust in data and can lead to poor decisions. Even well-intentioned analysts can create charts that misrepresent the underlying data through common design mistakes. Truncated y-axes are the most frequent offender.

truncated axischerry-pickingdual axisscale manipulationdata integrityhonest visualization

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