https://towardsdatascience.com/visualizing-data-with-pair-plots-in-python-f228cf529166

How to quickly create a powerful exploratory data analysis visualization

Once you’ve got yourself a nice cleaned dataset, the next step is Exploratory Data Analysis (EDA). EDA is the process of figuring out what the data can tell us and we use EDA to find patterns, relationships, or anomalies to inform our subsequent analysis. While there are an almost overwhelming number of methods to use in EDA, one of the most effective starting tools is the pairs plot (also called a scatterplot matrix). A pairs plot allows us to see both distribution of single variables and relationships between two variables. Pair plots are a great method to identify trends for follow-up analysis and, fortunately, are easily implemented in Python!