[{'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:res_2=np.where((df_user.Searched_Sum>0) & (df_user.Booked_Sum>0) & (df_user.MessageSent_Sum>0), \'k\', \'r\')\nfig = plt.figure()\nax1 = fig.add_subplot(111)\nax1.scatter(df_user.No_Of_Times_Online_Count,df_user.Avg_Minutes_Online, s=400, c=res_2, cmap=\'RdPu\', marker="s", label=\'Booked atleast once by sending message\' )\nplt.legend(loc=\'upper right\');\nplt.xlabel(\'Minutes Online\')\nplt.ylabel(\'Session Number\')\nplt.title(\'Booking Trend AirBnb\')\nplt.show()'}, {'role': 'assistant', 'content': 'data_exploration'}]