PRC Data Visualization & Communication 2

Question 1

Which chart type is most appropriate for showing the composition of a whole across multiple categories?

Accepted Answer

Stacked bar chart

Answer

Stacked bar charts show part-to-whole relationships while also enabling comparison across categories.

Question 2

A researcher wants to communicate uncertainty in survey estimates to a non-technical audience. What is the most accessible approach?

Accepted Answer

Include confidence intervals as shaded regions on a chart

Answer

Shaded confidence interval regions on a chart visually convey uncertainty in an intuitive, non-technical way.

Question 3

When presenting longitudinal data with multiple overlapping trend lines, which technique best reduces visual clutter?

Accepted Answer

Use small multiples (faceting)

Answer

Small multiples separate each series into its own panel, reducing overlap while preserving comparability.

Question 4

What does the preattentive attribute 'color hue' most effectively encode in data visualization?

Accepted Answer

Categorical group membership

Answer

Color hue is a preattentive attribute best suited for encoding categorical distinctions, not ordered quantities.

Question 5

A research report must comply with accessibility standards (WCAG). Which visualization practice is most critical?

Accepted Answer

Ensuring sufficient color contrast and adding text alternatives

Answer

WCAG compliance requires adequate contrast ratios and text alternatives (alt text) so visualizations are accessible to users with visual impairments.

(PRC) Professional Researcher Certification Practice Test