The time to learn the cool plots we were talking about!

A useful approach to exploring medium-dimensional data is by drawing multiple instances of the same plot on different subsets of your dataset.

FacetGrid object takes a DataFrame as input and the names of the variables that will form the grid's row, column, or hue dimensions. The variables should be categorical, and the data at each level of the variable will be used for a facet along that axis.

import pandas as pd
import seaborn as sns
from matplotlib import pyplot as plt

df = pd.read_csv('filename.csv')

# Creating the FacetGrid variable
g = sns.FacetGrid(df, col = 'column_name', row = 'row_name')

# The main approach for visualizing data on this grid is with the FacetGrid.map() method
g.map(sns.scatterplot, 'column_name')

plt.show()