When preparing data visualizations for a feature piece, what is a best practice?

• A. Use data without checking and rely on memory.
• B. Verify data against original datasets; ensure labels and sources are accurate; document data sources.
• C. Include as many colors as possible for visual appeal.
• D. Omit sources to keep the piece concise.

Answer: (B)

Verifying data and documenting sources is essential for credible feature visuals. Checking numbers against the original datasets ensures accuracy and prevents misrepresentation, while making sure labels and sources are correct helps readers understand exactly what the data refers to and where it comes from. Documenting data sources creates a traceable trail so others can verify or reuse the information, which is crucial in journalism and data storytelling.

Relying on memory introduces errors, and omitting sources or cluttering visuals with excessive colors can undermine trust and readability. Keeping a clear, accurate data process—validate, label correctly, and cite—supports transparency and reader confidence. If helpful, pair this with a concise data note or appendix and a consistent, accessible color palette to aid interpretation.