# Print number of missing values in banking print(____) # Visualize missingness matrix ____ ____ Print the number of m

Here's the code to print the number of missing values in `banking`, visualize the missingness matrix, and print the number of missing values by column: ```python import missingno as msno # Print number of missing values in banking print(banking.isnull().sum()) # Visualize missingness matrix msno.matrix(banking) # Print number of missing values by column print(banking.isnull().sum(axis=0)) ``` In this code, we first import the `missingno` library using the `import` statement. We then use the `isnull()` function to check for missing values in the `banking` DataFrame, and the `sum()` function to count the number of missing values. We use the `print()` function to display the result. We use the `msno.matrix()` function from the `missingno` library to plot and show the missingness matrix of the `banking` DataFrame. Finally, we use the `isnull()` function again, but this time with the `axis=0` parameter to count the number of missing values by column. We use the `print()` function to display the result.