What are the most common mistakes in data visualization and how do you avoid them?

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Avoiding common visualization mistakes is essential for maintaining credibility and communicating accurately. Understanding these pitfalls helps you create more effective and ethical visualizations. Misleading axis scales distort perception of the data.