code: def count_outOfBound(self, data, lowBound, highBound, output):
          
  
          count = self._find_outOfBound(data, lowBound, highBound).sum()
          
          if output == "number":
              return count
          elif output == "percent":
              return count / (data.shape[0]) * 1.0 * 100
docs: Count the number of out of bounds data.
      
          Parameters
          ----------
          data        : pd.DataFrame()
              Input dataframe.
          lowBound    : float
              Lower bound for dataframe.
          highBound   : float
              Higher bound for dataframe.
          output      : str
              Sting indicating the output of function (number or percent)
  
          Returns
          -------
          int/float
              Count of out of bounds data (int or float)