effective_data_viz_16.py

# Scatter Plot with Hue for visualizing data in 3-D
cols = ['density', 'residual sugar', 'total sulfur dioxide', 'fixed acidity', 'wine_type']
pp = sns.pairplot(wines[cols], hue='wine_type', size=1.8, aspect=1.8, 
                  palette={"red": "#FF9999", "white": "#FFE888"},
                  plot_kws=dict(edgecolor="black", linewidth=0.5))
fig = pp.fig 
fig.subplots_adjust(top=0.93, wspace=0.3)
t = fig.suptitle('Wine Attributes Pairwise Plots', fontsize=14)