code: def test_MissingValuesAnalysis():
      cols = list("AB")
      df_train = pd.DataFrame(
          (np.arange(100))[:, None].repeat([len(cols)], axis=1),
          columns=cols,
      )
      df_test = pd.DataFrame(
          (np.arange(200))[:, None].repeat([len(cols)], axis=1),
          columns=cols,
      )
      for df in [df_train, df_test]:
          df["A"] = (df["A"] % 4).replace(2, np.NaN)
  
      state = auto.analyze(
          train_data=df_train,
          test_data=df_test,
          return_state=True,
          anlz_facets=[MissingValuesAnalysis()],
      )
  
      assert state.missing_statistics.train_data.count == {"A": 25}
      assert state.missing_statistics.train_data.ratio == {"A": 0.25}
      assert state.missing_statistics.train_data.data is df_train
  
      assert state.missing_statistics.test_data.count == {"A": 50}
      assert state.missing_statistics.test_data.ratio == {"A": 0.25}
      assert state.missing_statistics.test_data.data is df_test
  
imports: import numpy
  import pandas
  import autogluon.eda.auto
  from autogluon.eda.analysis import MissingValuesAnalysis
label_desc: Use image node_id 1 for calling a global function with example usage: test_MissingValuesAnalysis() without return types