missing_values.py

# find percent of columns with missing values and compare to total number of columns
cols_missing_vals = len(missing_values_list)
df_cols = df.shape[1]

print(f'Columns With Missing Values: {cols_missing_vals}')
print(f'Total Columns: {df_cols}')
print(f'Percent of Columns with Missing Values: {round(cols_missing_vals/df_cols*100,1)}%')

>>> Columns With Missing Values: 67
>>> Total Columns: 122
>>> Percent of Columns with Missing Values: 54.9%