Load or paste delimited data, verify detected labels and numeric series, choose the visual form, and keep the original dataset in the browser tab.
Use a header row. The first non-numeric column becomes the category label; numeric columns become chart series.
Parse the sample to inspect detected series.
Review the source structure, chart-specific interpretation risks and a copyable accessible summary. The chart itself remains the primary workspace above.
Reviewing the current data…
This review checks structure and common interpretation risks; it does not prove that the source data, measurement method, denominator, units or conclusion are valid.
Cross-check the current source rows against the rendered SVG, visible labels, chart marks, accessibility metadata and SVG/PNG export surface. This complements the existing data-readiness review; it does not prove the source data or conclusion is correct.
Start with Graph Maker or CSV Chart Maker, then use a focused chart type when the visual question changes. Keep source data and export evidence connected instead of treating a rendered picture as the only record.
CSV Chart Maker turns a table into a chart only after parsing its labels and numeric series.
Blank numeric cells are no longer silently converted to zero. Review missing cells, duplicate row labels and mixed data before exporting.
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