WebToolArcHow to read this chart
Stacked bars compare totals and composition across categories.
Before publishing
The renderer now handles positive and negative series as diverging stacks around zero instead of producing misleading geometry.
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Stacked Bar Chart Maker
Paste category-by-series data, compare totals and composition, and export the chart as SVG or PNG.
Data readiness & publication review
Reviewing…Check the data before you export
Review the source structure, chart-specific interpretation risks and a copyable accessible summary. The chart itself remains the primary workspace above.
Findings
Accessible chart summary
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.
Stacked Bar Chart Maker: 100% Stacked, CSV & Export
Create stacked charts and audit category totals, 100% normalized shares, dominant series and copy-ready normalized CSV data.
Core data-to-chart workflows
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.
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Practical guide and verification
Choose raw or 100% stacked based on the question
Raw stacks preserve magnitude and composition at the same time, while 100% stacks normalize every category to the same total so proportions are easier to compare. The two views answer different questions.
Inspect totals before reading segment shares
A large segment can reflect a large category total rather than an unusually high proportion. Use the data audit and normalized mode when the intended comparison is composition rather than absolute size.
Keep series order stable across categories
Viewers compare colors and positions across bars. Reordering series between categories would make that comparison misleading, so keep one consistent series order and legend throughout the chart.
Check tiny segments before publishing
Very small values can disappear visually even when they are present in the data. Use the accessible summary and source export to verify that a small segment is not being interpreted as zero.
Export the data with the graphic when evidence matters
SVG or PNG is convenient for presentation, but the source or normalized CSV preserves the exact values behind the bars. Keep both when the chart is part of a report that may need independent verification.