Guides data visualization design—chart type selection for message and audience, honest scales
and labeling, color and accessibility, executive and operational dashboard layout, actuarial and
insurance charts (loss triangles, trends, distributions), ethics and misleading-viz avoidance,
and visualization specs for engineers versus slides. Tool-agnostic patterns (matplotlib, plotly,
Tableau concepts).
Use when the user says "data visualization", "chart type", "dashboard design", "visualize this
data", "which chart should I use", "misleading chart", "accessible chart", "executive dashboard",
"loss triangle chart", or "data viz spec"—not full statistical analysis, BI platform …
