[{'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:df_total = df_val.groupby([\'Date\']).sum().reset_index()\ndf_train = train[(train[\'Country_Region\'].isin(df_val[\'Country_Region\'].unique())) & (train[\'ConfirmedCases\'] > 0)].groupby([\'Date\']).sum().reset_index()\n\nidx = df_total[((df_total[\'ConfirmedCases\'].isnull() == False) & (df_total[\'ConfirmedCases\'] > 0))].shape[0]\nfig = px.line(df_total, x="Date", y="ConfirmedCases_hat", title=\'Total Cases of World Forecast\')\nfig.add_scatter(x=df_train[\'Date\'], y=df_train[\'ConfirmedCases\'], mode=\'lines\', name="Actual train", showlegend=True)\nfig.add_scatter(x=df_total[\'Date\'][0:idx], y=df_total[\'ConfirmedCases\'][0:idx], mode=\'lines\', name="Actual test", showlegend=True)\nfig.show()\n\nfig = px.line(df_total, x="Date", y="Fatalities_hat", title=\'Total Fatalities of World Forecast\')\nfig.add_scatter(x=df_train[\'Date\'], y=df_train[\'Fatalities\'], mode=\'lines\', name="Actual train", showlegend=True)\nfig.add_scatter(x=df_total[\'Date\'][0:idx], y=df_total[\'Fatalities\'][0:idx], mode=\'lines\', name="Actual test", showlegend=True)\nfig.show()\''}, {'role': 'assistant', 'content': 'result_visualization'}]