code: def is_scale_needed(x_org):
      x = x_org[~pd.isnull(x_org)]
      abs_avg = np.abs(np.mean(x))
      stddev = np.std(x)
      if abs_avg > 0.5 or stddev > 1.5:
          return True
      return False
  
imports: import numpy
  import pandas
  from scipy import stats
  from sklearn import preprocessing
label_desc: Use image node_id 7 for calling the PreprocessingUtils obj's underlying member method code with example usage: obj.is_scale_needed(x_org) and returns: False, True