[{'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.set_title("AAPL Daily Return Distribution")\nsns.distplot(AAPL[\'Daily Return\'].dropna(), color = \'indianred\', hist_kws=dict(alpha = 0.7))\nsns.despine()\nfig = plotly.tools.mpl_to_plotly(fig)\nfig[\'data\'][1][\'marker\'][\'line\'][\'color\'] = \'white\'\nfig[\'data\'][1][\'marker\'][\'line\'][\'width\'] = 1\nfig[\'layout\'].update(width = 900, height = 450)\nplotly.offline.iplot(fig)'}, {'role': 'assistant', 'content': 'data_exploration'}]