A beeswarm plot displays individual observations as dots for each feature, positioning them to reveal feature importance and coloring them by the corresponding feature value. section 13.2.1
Within SHAP explanations for an Isolation Forest, blue, purple, and red dots indicate low, average, and high values. High values usually increase outlier scores, although Length reverses that pattern. section 13.2.1
Create a SHAP beeswarm plot
After generating a SHAP explanation for the original features, render it with shap.plots.beeswarm(explanation). The resulting plot summarizes global feature contributions across records. section 13.2.1
shap.initjs() shap.plots.beeswarm(explanation)
The runnable SHAP call directly produces the beeswarm visualization used to inspect global feature importance. section 13.2.1
