Data Cleaning With Python, Data Analysis, Dataframes Python, Marketing Analytics.
missingno as msno import matplotlib.pyplot as plt # Visualize missingness msno.matrix(airquality) plt.show() This matrix essentially shows how missing values are distributed across a column. We see that missing CO2 values are randomly scattered throughout the column, but is that really the case?