Which of the following is a pitfall to avoid when presenting data in printed materials?

• A. Misleading scales
• B. Cherry-picked data
• C. Missing axis labels
• D. Omitting context

Answer: (A)

Misleading scales distort how readers interpret the data. When an axis starts at a value other than zero, uses uneven intervals, or employs a nonlinear scale, small differences can look dramatic or large differences can seem trivial, even if the underlying numbers are accurate. This kind of presentation tricks the eye and can imply trends or magnitudes that aren’t truly supported by the data. To avoid it, use appropriate, clearly labeled axes, start at a meaningful baseline (often zero when it’s about quantities), keep tick marks evenly spaced, and choose scales that reflect the data honestly. Other issues like missing axis labels or omitting context undermine clarity and interpretation, but the most direct way to mislead in a chart is through a deceptive axis scale.