Data Visualization

Choose the chart that makes the decision-relevant comparison easiest to see.

1. Identify the audience, decision, measure, comparison, uncertainty, and source date.
2. Choose a simple encoding: position/length before color/area; avoid charts that exaggerate tiny differences.
3. Label units, denominators, time window, filters, sample size where relevant, and uncertainty or data gaps.
4. Use accessible contrast, non-color cues, readable annotations, and a text alternative or concise finding.
5. Validate the data transformation and visually inspect the rendered output.

Do not use misleading truncated axes, decorative 3D, unlabelled dual axes, or color-only meaning without a reasoned exception.