code: def load_fifa():
      """Load the preprocessed 'players_20' dataset
  
      Load 'fifa', the preprocessed 'players_20.csv' dataset which comes as
      a part of 'FIFA 20 complete player dataset' at 'Kaggle'.
      It contains 5000 'overall' best players and 43 variables. These are:
      - short_name (index)
      - nationality of the player (not used in modeling)
      - overall, potential, value_eur, wage_eur (4 potential target variables)
      - age, height, weight, attacking skills, defending skills, goalkeeping skills (37 variables)
  
      It is advised to leave only one target variable for modeling.
  
      Format: pd.DataFrame with 5000 rows, 42 columns and index
  
      Source: https://www.kaggle.com/stefanoleone992/fifa-20-complete-player-dataset#players_20.csv January 1, 2020
  
      License: see file ./data/LICENSE-DATA.txt
  
      Returns
      -----------
      pd.DataFrame
      """
  
      abs_dir_path = os.path.dirname(os.path.abspath(__file__))
      abs_datasets_path = os.path.join(abs_dir_path, "data", "fifa.csv")
  
      dataset = pd.read_csv(
          abs_datasets_path, index_col=0
      )  # use short_name as index
  
      return dataset
  
file_path: DALEX/python/dalex/dalex/datasets/_load.py
imports: import os
  import pandas
label_desc: Use image node_id 2 for calling a global function with example usage: load_fifa() and returns: dataset