class_docstr: Returns datasets included in the library in `pandas.DataFrame` format.
  
  Attributes
  ----------
  available_datasets : `list` [`str`]
      The names of the available datasets.
class_docstr_tok: ["Returns","datasets","included","in","the","library","in","`","pandas.DataFrame","`","format",".","Attributes","--","--","--","--","--","available_datasets",":","`","list","`","[","`","str","`","]","The","names","of","the","available","datasets","."]
docstr: Loads dataset by name from the internal data library.
  
  Parameters
  ----------
  data_name : `str`
      Dataset to load from the internal data library.
  
  Returns
  -------
  df : ``UnivariateTimeSeries`` object with ``data_name``.
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code: def load_data(self, data_name, **kwargs):
      """Loads dataset by name from the internal data library.
  
      Parameters
      ----------
      data_name : `str`
          Dataset to load from the internal data library.
  
      Returns
      -------
      df : ``UnivariateTimeSeries`` object with ``data_name``.
      """
      if data_name == "daily_peyton_manning":
          df = self.load_peyton_manning()
      elif data_name == "hourly_parking":
          df = self.load_parking(**kwargs)
      elif data_name == "hourly_bikesharing":
          df = self.load_bikesharing(**kwargs)
      elif data_name == "hourly_beijing_pm":
          df = self.load_beijing_pm(**kwargs)
      elif data_name == "daily_hierarchical_actuals":
          df = self.load_hierarchical_actuals()
      elif data_name == "daily_hierarchical_forecasts":
          df = self.load_hierarchical_forecasts()
      else:
          data_inventory = self.get_data_inventory()
          raise ValueError(
              f"Input data name '{data_name}' is not recognized. "
              f"Must be one of {data_inventory}."
          )
  
      return df
  
imports: import datetime
  import os
  import warnings
  from pathlib import Path
  import pandas
  from greykite.common.constants import TIME_COL
label_desc: Use image node_id 20 for calling the DataLoader obj's underlying member method code with example usage: obj.load_data(data_name) and returns: df