code: def get_type(data):
      """
      Checks what the data type is and returns it as a string label
      """
      from ..datageometry import DataGeometry
  
      if isinstance(data, list):
          if isinstance(data[0], (str, bytes)):
              return "list_str"
          elif isinstance(data[0], (int, float)):
              return "list_num"
          elif isinstance(data[0], np.ndarray):
              return "list_arr"
          else:
              raise TypeError(
                  "Unsupported data type passed. Supported types: "
                  "Numpy Array, Pandas DataFrame, String, List of strings"
                  ", List of numbers"
              )
      elif isinstance(data, np.ndarray):
          if isinstance(data[0][0], (str, bytes)):
              return "arr_str"
          else:
              return "arr_num"
      elif isinstance(data, pd.DataFrame):
          return "df"
      elif isinstance(data, (str, bytes)):
          return "str"
      elif isinstance(data, DataGeometry):
          return "geo"
      else:
          raise TypeError(
              "Unsupported data type passed. Supported types: "
              "Numpy Array, Pandas DataFrame, String, List of strings"
              ", List of numbers"
          )
  
imports: import functools
  import sys
  import numpy
  import copy
  from scipy.interpolate import PchipInterpolator
  import seaborn
  import itertools
  import pandas
  from matplotlib.lines import Line2D
label_desc: Use image node_id 14 for calling a global function with example usage: get_type(data) and returns: str, str, str, str, str, str, str, str