code: def column_structural_typicality(X_L_list, col_id):
      
      count = 0
      for X_L in X_L_list:
          for c in range(len(X_L['column_partition']['assignments'])):
              if X_L['column_partition']['assignments'][col_id] ==\
                      X_L['column_partition']['assignments'][c]:
                  count += 1
      return float(count) / \
          (len(X_L_list) * len(X_L_list[0]['column_partition']['assignments']))
docs: Returns how typical column is (opposite of how anomalous).