In this Python data visualization tutorial we will learn how to create 9 different plots using Python Seaborn. More precisely we have used Python to create a scatter plot, histogram, bar plot, time series plot, box plot, heat map, correlogram, violin plot, and raincloud plot. All these data visualization techniques can be useful to explore and display your data before carrying on with the parametric data analysis. They are also very handy for visualizing data so that other researchers can get some information about different aspects of your data.