[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': "Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:fig = pyplot.figure() # Create matplotlib figure\nax = fig.add_subplot(111) # Create matplotlib axes\nax2 = ax.twinx() # Create another axes that shares the same x-axis as ax.\nwidth = 0.4\nle_c_region['LEatBirth'].plot(kind='bar', color='red', ax=ax, width=width, position=1, figsize=(10,7))\nle_c_region['Commitments'].plot(kind='bar', color='blue', ax=ax2, width=width, position=0, figsize=(10,7))\nax.set_ylabel('Life Expectancy at Birth', color='red')\nax2.set_ylabel('Commitments (US Millions)', color='blue')\npyplot.xlabel('')\npyplot.show()"}, {'role': 'assistant', 'content': 'data_exploration'}]