analysis-report

To prevent numeric fabrication in data analysis, use a plots-only reporting approach that renders all quantitative results directly from data. This forces the pipeline to compute statistics and save visualizations to a plots directory instead of generating text-based figures.

Generating a plots-only report requires a pipeline that computes statistics, saves plots to a dedicated directory, and assembles a report that references only those plots. This ensures all quantitative information is represented exclusively as visualizations.

Plots-only reporting works for data analysis workflows involving summaries, correlations, and comparisons. It is designed for scenarios where AI could otherwise invent figures, ensuring all quantitative information is derived directly from the source data.

The best way to ensure data integrity in automated analytics is to eliminate text-based numbers and render all quantitative results as plots derived directly from data. This prevents the AI from inventing figures and provides a repeatable process for generating reports.

You should not use plots-only reporting if your workflow requires exact numeric values in text, as this approach represents all quantitative information exclusively as plots. It is designed to prevent fabrication by omitting raw figures from the final report.