code: def load_pos_data_missing():
      """Load Pycaret Airline dataset (with missing values)."""
      data = get_data("airline")
      remove_n = int(0.4 * len(data))
      np.random.seed(42)
      na_indices = np.random.choice(data.index, remove_n, replace=False)
      data[na_indices] = np.nan
      return data
  
imports: import numpy
  import pytest
  import pycaret.anomaly.functional
  import pycaret.classification.functional
  import pycaret.clustering.functional
  import pycaret.regression.functional
  import pycaret.time_series.forecasting.functional
  from pycaret.containers.models.time_series import get_all_model_containers
  from pycaret.datasets import get_data
  from pycaret.time_series import TSForecastingExperiment
label_desc: Use image node_id 7 for calling a global function with example usage: load_pos_data_missing() and returns: data