Statistical and Uncertainty Visualization Overview Use this skill when the risk is analytical distortion rather than rendering difficulty. This skill focuses on distributions, intervals, uncertainty, missingness, aggregation effects, and common statistical storytelling failures. Default assumption: if a claim depends on variability, estimation, sampling, or model uncertainty, the visualization should show that explicitly. Working Pattern 1. Identify whether the viewer needs exact values, distributions, intervals, or model-derived estimates. 2. Choose encodings that show spread, uncertainty, m…