Which of the following is a common data visualization pitfall?

• A. Simple axes
• B. Focused visuals
• C. Misleading scales
• D. Clear legends

Answer: (C)

When interpreting a chart, the scale of the axes shapes how we perceive differences and trends. The axis scale is responsible for the frame in which the data are viewed, so if it’s chosen in a misleading way, the same numbers can look dramatically different in magnitude or rate of change. For example, starting the vertical axis at a value well above zero or using uneven interval steps can make small differences seem huge or suppress real gaps, and presenting a break in the axis or a logarithmic scale without clearly indicating it can further distort interpretation. These tricks are common pitfalls because they subtly steer the viewer’s impression away from the true data.

The option describing misleading scales is the best answer because it identifies a fundamental way in which visuals can misrepresent information. In contrast, simple axes, focused visuals, and clear legends are practices that typically improve clarity and accuracy, reducing confusion rather than risking misinterpretation.