Statistics, Probability, Exploratory Data Analysis, Mathematics, Graph.
data.columns = ["Values","Category"] data sns.kdeplot(data = data, x="Values",hue="Category",fill=True,bw_adjust=0.70,multiple="stack") The interpretation of the graph is that: For category A, the data is clustered more at 3.0 For category B, the data has more variance and maximum clustering is