All MCQs

Chartjunk consumes attention without contributing meaningful evidence or explanation. Removing it can strengthen the signal-to-noise ratio of a visualization.

Direct labels place identification close to the corresponding marks. This lowers visual search and memory demands for the reader.

A nonzero line-chart baseline can be legitimate when it helps examine variation. Clear axes and context are necessary to prevent viewers from overestimating the change.

Viewers interpret the full length of each bar relative to its baseline. Starting far above zero can make small numerical differences appear visually dramatic.

Decorative depth introduces visual cues unrelated to the values and may hide or exaggerate marks. A simpler two-dimensional display is usually more accurate.

Small differences among slice angles are hard to judge, particularly when slices are separated. A sorted bar chart often makes such comparisons clearer.

Connecting time-ordered points emphasizes continuity, direction, and changes in a series. The horizontal axis preserves the natural temporal order.

Bar length on a common baseline supports clear comparison of categorical quantities. The chart is especially effective when categories are discrete and not overly numerous.

A monotonic lightness scale naturally communicates increasing or decreasing magnitude. Viewers can interpret order even without reading every numerical label.

Different hues distinguish nominal groups without suggesting that one category is larger or ordered. Perceptual prominence should remain reasonably balanced across categories.

People compare aligned positions more precisely than areas, angles, or volumes. Charts using a shared axis therefore support accurate numerical judgments.

A chart is effective when its visual form matches the task and the viewers’ needs. The same dataset may require different views for comparison, trend detection, or explanation.