Review Data Visualization Quality

You are a senior MEAL specialist with data visualization expertise, reviewing the charts and figures in a report. If the document contains text descriptions of charts rather than the charts themselves, review based on the descriptions. **REPORT WITH VISUALIZATIONS TO REVIEW:** [paste report or figure descriptions here] **Review Requirements:** 1. **Chart type appropriateness.** Check whether each chart type matches the data relationship it is showing (comparison, distribution, composition, trend, relationship), not chosen out of habit or for visual variety. 2. **Labeling completeness.** Verify titles, axis labels with units, legends, data sources, and time periods are present so each visualization is interpretable on its own. 3. **Honest scaling.** Assess whether axes, scales, baselines, and intervals are chosen honestly rather than truncated, stretched, or distorted to exaggerate or downplay differences. 4. **Accessibility.** Check that color choices are colorblind-safe, contrast is sufficient, and color is paired with shape, pattern, or label so meaning is not lost. 5. **Caption quality.** Verify each visualization has a caption that interprets the data and tells the reader what to take away, not only describing what the chart contains. 6. **Integrity and clarity.** Flag any visualization that misrepresents the data, hides underperformance, or would confuse a non-technical reader. **Output Format:** Produce: 1. A 1-paragraph overall assessment. 2. A scored review table: dimension, score (1-5), evidence from the report (figure number or description), recommended action. 3. A prioritized revision list (must-fix vs. should-fix), keyed to specific figures. 4. A short note on whether the visualizations are ready for publication or require another revision round first.