text: import pandas as pd
  import numpy as np
  #from null_evalor.null_eval import assess_NA
  from null_evalor.refactor import Nullers
  from pandas import DataFrame
  
  df = DataFrame({'a': [1, 3, 4], 'b': [6, np.nan, 3]})
  print(df.head())
  print(Nullers.assess_NA(df))
  
  df_2 = DataFrame({'a': [3, np.nan, 4, 6, np.nan, 5, 3],
                    'b': [np.nan, np.nan, 4, 6, np.nan, 5, np.nan],
                    'c': [np.nan, np.nan, np.nan, np.nan, np.nan, 5, np.nan],
                    'd': [np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan]})
  
  print(df_2.head())
  print(Nullers.assess_NA(df_2))
  
  df_3 = DataFrame({'a': [3, np.nan, 4, 6, np.nan, np.nan, 3],
                    'b': [np.nan, np.nan, 4, 6, np.nan, 5, np.nan],
                    'c': [np.nan, np.nan, np.nan, np.nan, np.nan, 5, np.nan],
                    'd': [np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan]})
  
  print(df_3.head())
  print(Nullers.assess_NA(df_3))
  