figure - visualizing relationships between wine typesalcoholqualityand acidity levels the plot in figure - shows us some interesting patterns not only are we able to successfully visualize four variablesbut also we can see meaningful relationships among them higher quality wine samples (depicted by darker shadeshave lower levels of volatile acidity and higher levels of alcohol content as compared to wine samples with medium and low ratings besides thiswe can also see that volatile acidity levels are slightly lower in white wine samples as compared to red wine samples let' now build similar visualization howeverin this scenariowe want to analyze patterns in wine typesqualitysulfur dioxideand acidity levels we can use the same framework as our last code snippet to achieve this sns facetgrid(winescol="wine_type"hue='quality_label'col_order=['red''white']hue_order=['low''medium''high']aspect= size= palette=sns light_palette('green' ) map(plt scatter"volatile acidity""total sulfur dioxide"alpha= edgecolor='white'linewidth= fig fig fig subplots_adjust(top= wspace= fig suptitle('wine type sulfur dioxide acidity quality'fontsize= add_legend(title='wine quality class'