[{'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:\nfig, axes = plt.subplots(1, 2, figsize=(17,3.5))\naxes[0].boxplot(df_train.Sales, showmeans=True,vert=False)\naxes[0].set_xlim(0,max(df_train["Sales"]+1000))\naxes[0].set_title(\'Boxplot For Sales Values\')\naxes[1].hist(df_train.Sales, cumulative=False, bins=20)\naxes[1].set_title("Sales histogram")\naxes[1].set_xlim((min(df_train.Sales), max(df_train.Sales)))\n\n{"Mean":np.mean(df_train.Sales),"Median":np.median(df_train.Sales)}\n\n\n\''}, {'role': 'assistant', 'content': 'result_visualization'}]