figure - correlation heatmap for features in the wine quality dataset while most of the correlations are weakas observed in figure - we can see strong negative correlation between density and alcohol and strong positive correlation between total and free sulfur dioxidewhich is expected you can also visualize patterns and relationships among multiple variables using pairwise plots and use different hues for the wine types essentially plotting three variables at time the following snippet depicts sample pairwise plot for some features in our dataset cols ['wine_type''quality''sulphates''volatile acidity'pp sns pairplot(wines[cols]hue='wine_type'size= aspect= palette={"red""#ff ""white""#ffe "}plot_kws=dict(edgecolor="black"linewidth= )fig pp fig fig subplots_adjust(top= wspace= fig suptitle('wine attributes pairwise plots'fontsize=