figure - pairwise plots by wine type for features in the wine quality dataset from the plots in figure - we can notice several interesting patternswhich are in alignment with some insights we obtained earlier these observations include the followingpresence of higher sulphate levels in red wines as compared to white wines lower sulphate levels in wines with high quality ratings lower levels of volatile acids in wines with high quality ratings presence of higher volatile acid levels in red wines as compared to white wines you can use similar plots on other variables and features to discover more patterns and relationships to observe relationships among features with more microscopic viewjoint plots are excellent visualization tools specifically for multivariate visualizations the following snippet depicts the relationship between wine typessulphatesand quality ratings rj sns jointplot( ='quality' ='sulphates'data=red_winekind='reg'ylim=( )color='red'space= size= ratio= rj ax_joint set_xticks(list(range( , ))fig rj fig fig subplots_adjust(top= fig suptitle('red wine sulphates quality'fontsize= wj sns jointplot( ='quality' ='sulphates'data=white_winekind='reg'ylim=( )color='#ffe 'space= size= ratio= wj ax_joint set_xticks(list(range( , ))fig wj fig fig subplots_adjust(top= fig suptitle('white wine sulphates quality'fontsize=