Start with the data shape, validate labels and numeric series, choose a chart type that matches the question, then export only after checking scales, ordering and annotations.
Paste data or load a local CSV/TSV file. The file stays in this browser tab.
Create a chart to inspect the parsed data.
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.
Inspect how many rows and numeric series were parsed, catch missing/non-numeric cells, and copy a normalized table before exporting the chart.
Build charts from pasted data, then audit rows and numeric series, recommend a chart type, inspect totals and copy normalized clean CSV.
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.
Graph Maker is a general workspace, so chart choice matters as much as rendering.
Review the parsed rows first, then use bars for categories, lines/areas for ordered change, pie for parts of one total, scatter for X/Y relationships and histogram for distributions.
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