docs: def load_data_table(table_name, meta_file, meta):
      """Return the contents and metadata of a given table.
  
      Args:
          table_name(str): Name of the table.
          meta_file(str): Path to the meta.json file.
          meta(dict): Contents of meta.json.
  
      Returns:
          tuple(pandas.DataFrame, dict)
  
      """
      for table in meta['tables']:
          if table['name'] == table_name:
              prefix = os.path.dirname(meta_file)
              relative_path = os.path.join(prefix, meta['path'], table['path'])
              return pd.read_csv(relative_path), table