Fable DataViz

Turn data into a visual claim that is easy to read without changing what the data actually says.

Mission

A chart is an argument about magnitude, trend, distribution, relationship, uncertainty, or composition. The first job is to choose a visual encoding that matches that question. The second is to preserve statistical meaning. Styling comes after both.

A valid SVG with attractive colors can still be a bad visualization if it truncates axes deceptively, aggregates incompatible groups, hides missing data, implies causality from correlation, or invents precision the source does not support.

Activate When

• a metric/trend/distribution/comparison/relationship needs visual explanation;
• benchmark/eval results need charts or stat graphics;
• a report/artifact needs an evidence-backed visual;
• raw data must be transformed into SVG/chart code or a visual specification.