[{'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:pivot=pd.pivot_table(train_df,columns='Country_Region',index='Date',values='ConfirmedCases',aggfunc=np.sum)\npivot_fatality=pd.pivot_table(train_df,columns='Country_Region',index='Date',values='Fatalities',aggfunc=np.sum)\ncountry_list=[]\nvalue_list=[]\nfatality_list=[]\nfor country in list(pivot.columns):\n    country_list.append(country)\n    value_list.append(pivot[country].max())\n    fatality_list.append(pivot_fatality[country].max())\n    new_dict={'Country':country_list,'Confirmed':value_list,'Fatality':fatality_list}\ndf=pd.DataFrame.from_dict(new_dict)\ndf.set_index('Country',inplace=True)\n\nplt.figure(figsize=(12,8))\nplt.subplot(2,1,1)\ndf['Confirmed'].sort_values(ascending=False)[:10].plot(kind='bar',color='blue')\nplt.title('Top 10 Countries by Confirmed Cases')\nplt.subplot(2,1,2)\ndf['Fatality'].sort_values(ascending=False)[:10].plot(kind='bar',color='red')\nplt.title('Top 10 Countries with Fatalities due to Covid-19')\nplt.tight_layout()"}, {'role': 'assistant', 'content': 'result_visualization'}]