# Scientific Chart Readability Review Checklist

Use this checklist before approving a chart, dashboard, or scientific figure.

## Structure

- Identify every chart type and data layer.
- Confirm the number of datasets, categories, and encodings.
- Check that the visual form matches the analytical question.

## Labels and scales

- Confirm axis titles describe the quantity and units.
- Verify linear, logarithmic, and reversed scales are intentional.
- Make legends and trend lines unambiguous.

## Legibility

- Check color contrast against the background.
- Look for overplotting, oversized markers, or crowded labels.
- Make sure important information is not hidden by another layer.

## Information content

- Remove unused space and unnecessary detail.
- Keep enough context to interpret the result.
- Prefer direct labels or small multiples when a crowded legend becomes difficult to follow.

## Recommendation

- State the issue in observable terms.
- Explain how it affects the reader.
- Recommend a specific change that can be retested.