code: def data_has_missing_values(data: InputData) -> bool:
      """Check data for missing values."""
      return (
          data_type_is_suitable_for_preprocessing(data)
          and pd.DataFrame(data.features).isna().to_numpy().sum() > 0
      )
  
file_path: FEDOT/fedot/core/data/data_preprocessing.py
imports: from typing import Optional, Tuple
  import numpy
  import pandas
  from fedot.core.data.data import InputData, data_type_is_multi_ts, data_type_is_table, data_type_is_ts
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.preprocessing.data_types import TYPE_TO_ID
label_desc: Use image node_id 8 for calling a global function with example usage: data_has_missing_values(data) and returns: unknown