Plot the distribution of missing values

UpSet plots are often used to show which variables are missing together.

Passing a callable indicators=pd.isna to from_indicators() is an easy way to categorise a record by the variables that are missing in it.

from matplotlib import pyplot as plt
import pandas as pd
from upsetplot import plot, from_indicators

TITANIC_URL = 'https://raw.githubusercontent.com/datasciencedojo/datasets/master/titanic.csv'  # noqa
data = pd.read_csv(TITANIC_URL)

plot(from_indicators(indicators=pd.isna, data=data), show_counts=True)
plt.show()