[{'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:genVSage = data.pivot_table('rating', index='title', columns=['age', 'gender'], aggfunc='mean')\nj = 1\nfor i in [1, 18, 25, 35, 45, 50, 56]:\npy.subplot(3, 3, j)\npy.plot(genVSage[i]['M'], genVSage[i]['F'], '.')\npy.title('Age: %d' %(i))\nj = j + 1\nprint('Correlation of age', i)\nprint(genVSage[i].corr())\nprint('--------------------------')\nplt.subplots_adjust(bottom=0.1, right=1.5, top=2.5, left=0.1)\nplt.show()"}, {'role': 'assistant', 'content': 'data_exploration'}]