figure - visualizing relationships between wine typesquality and alcohol content based on our earlier analysis for wine quality versus alcohol volume in the "inferential statisticssectionthese results look consistent each box plot in figure - depicts the distribution of alcohol level for particular wine quality rating separated by wine types the box itself depicts the inter-quartile range and the line inside depicts the median value of alcohol whiskers indicate the minimum and maximum value with outliers often depicted by individual points we can clearly observe the wine alcohol by volume distribution has an increasing trend based on higher quality rated wine samples similarly we can also using violin plots to visualize distributions of numeric features over categorical features let' build visualization for analyzing the fixed acidity of wine sample by quality ratings (ax ax plt subplots( figsize=( ) suptitle('wine type quality acidity'fontsize= sns violinplot( ="quality" ="volatile acidity"hue="wine_type"data=winessplit=trueinner="quart"linewidth= palette={"red""#ff ""white""white"}ax=ax ax set_xlabel("wine quality",size ,alpha= ax set_ylabel("wine fixed acidity",size ,alpha= sns violinplot( ="quality_label" ="volatile acidity"hue="wine_type"data=winessplit=trueinner="quart"linewidth= palette={"red""#ff ""white""white"}ax=ax ax set_xlabel("wine quality class",size ,alpha= ax set_ylabel("wine fixed acidity",size ,alpha= plt legend(loc='upper right'title='wine type'