figure - visualizing relationships between wine typessulphates and quality with joint plots while there seems to be some pattern depicting lower sulphate levels for higher quality rated wine samplesthe correlation is quite weak (see figure - howeverwe do see clearly that sulphate levels for red wine are much higher as compared to the ones in white wine in this case we have visualized three features (typequalityand sulphateswith the help of two plots what if we wanted to visualize higher number of features and determine patterns from themthe seaborn framework provides facet grids that help us visualize higher number of variables in two-dimensional plots let' try to visualize relationships between wine typequality ratingsvolatile acidityand alcohol volume levels sns facetgrid(winescol="wine_type"hue='quality_label'col_order=['red''white']hue_order=['low''medium''high']aspect= size= palette=sns light_palette('navy' ) map(plt scatter"volatile acidity""alcohol"alpha= edgecolor='white'linewidth= fig fig fig subplots_adjust(top= wspace= fig suptitle('wine type alcohol quality acidity'fontsize= add_legend(title='wine quality class'