[{'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, ax = plt.subplots()\nax.plot(apparel['Year'],apparel['Annual'], color='r')\nax.plot(food['Year'], food['Annual'], color='b')\nax.plot(trans['Year'], trans['Annual'], color='black')\nax.plot(medcare['Year'], medcare['Annual'], color='y')\nax.plot(other['Year'], other['Annual'], color ='orange')\nax.plot(housing['Year'], housing['Annual'], color='g')\nax.axis([1980, 2015, 0,450])\nax.axvspan(2007, 2009, alpha=0.15, color='gray')\nax.axvspan(1990, 1991, alpha=0.15, color='gray')\nax.axvspan(1980, 1982, alpha=0.15, color='gray')"}, {'role': 'assistant', 'content': 'data_exploration'}]