The Visual Data Story Integrity Checker

 Create a tool that audits charts, graphs, and business reports for visual choices that could misrepresent the underlying data.

Allow users to upload chart images, spreadsheets, chart configuration files, or source datasets. When the underlying data is available, reconstruct the chart and compare it against the original values.

Check for misleading axis ranges, inconsistent scales, truncated baselines, missing denominators, incompatible time periods, cherry-picked comparisons, inappropriate chart types, and claims unsupported by the available data.

For each finding, show the relevant evidence, explain the potential misunderstanding, and propose a clearer alternative visualization. Let users preview the original and revised chart side by side.

Distinguish a confirmed numerical error from a presentation choice that merely deserves context. Never infer exact source values from a screenshot when they cannot be reliably recovered.

Generate an audit checklist and export corrected charts with their data, labels, and explanatory notes.