{"version":"1.0","type":"rich","title":"Implementation of Dunn's multiple comparison test, following a Kruskal-Wallis 1-way ANOVA","description":"This visualization implements Dunn's multiple comparison test following a Kruskal-Wallis one-way ANOVA. It computes the omnibus H-statistic and p-value from ranked group data, then calculates pairwise Z-scores comparing mean ranks between all group combinations. The code uses scipy.stats.rankdata and tiecorrect for ranking, statsmodels.stats.multitest.multipletests for p-value correction, and supports configurable alpha levels and correction methods. The function returns the H-statistic, omnibus p-value, pairwise Z-scores, corrected p-values, and a boolean rejection array for hypothesis testing.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-18c8d717a1b8dc41aa411f15b5a0a6c7?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}