Display quantitative information

Help the viewer reason from evidence. Prioritise truthful encoding and useful comparisons over cosmetic minimalism. Preserve the package's Tufte-informed methods without turning data-ink or any other maxim into an automatic verdict.

Work from the analytical task

1. Identify the comparison or decision: lookup, trend, relationship, distribution, composition, geography, uncertainty, or monitoring.
2. Inspect grain, units, denominator, groups, missingness, time spacing, transformations, sample size, and uncertainty before plotting. Separate observations from summaries.
3. Choose a display for that task using display selection when needed. Establish intentional aggregation and ordering explicitly.
4. Audit scales and encodings before aesthetics. Check actual data bounds, baseline, transformations, temporal spacing, omitted values, and uncertainty against source data.
5. Deliver the requested chart, code, specification, or critique. Verify the output itself rather than assuming a successful plotting command preserved its meaning.