Commonly used python-based visualization codes in statistics, including density plot, violin_scatter_box plot and others.
From left to right: Density plot, Violin_Box plot, Violin_Scatter_Box plot
Suppose you have two data x and y, density plot helps you plot the relationship between x and y.
Suppose you have two kinds of fruits (data) Apple and Orange, the weights of each fruit on different scales (type) are different, namely normal and special.
Violin_Box plot helps you visualize the difference within groups. For example, you can see the difference in weight between normal apple and special apple.
Suppose you want to further make the difference between normal and special, you can use Violin_Scatter_Box to plot your result. It can helps you visualize the difference between groups.