Visualizations can unintentionally mislead if not designed properly based on the data type, frequency, and intended task. Key factors that influence truthful representation are data type (nominal, ordinal, interval, ratio), frequency (sparse or dense), and task (compare values, identify patterns, etc.). Design choices like color maps and highlighting should be fitted to maximize clarity rather than creativity or aesthetics alone.