[{'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:train_data_by_max_date = train_data_by_country.query(\'(Date == @max_train_date) & (ConfirmedCases > 100)\')\ntrain_data_by_max_date.loc[:, \'MortalityRate\'] = train_data_by_max_date.loc[:,\'Fatalities\']/train_data_by_max_date.loc[:,\'ConfirmedCases\']\ntrain_data_by_mortality = train_data_by_max_date.sort_values(\'MortalityRate\', ascending=False)\ntrain_data_by_mortality.set_index(\'Country_Region\', inplace=True)\n#display(train_data_by_mortality.head())\n\npalette = plt.get_cmap(\'OrRd_r\')\nrainbow_col = [palette(1.*i/20.0) for i in range(20)]\n\ntrain_data_by_mortality.MortalityRate.head(20).plot(figsize=(15,10), kind=\'barh\', color=rainbow_col)\nplt.xlabel("Mortality Rate")\nplt.title("First 20 Countries with Highest Mortality Rate")\nylocs, ylabs = plt.yticks()\n\n\''}, {'role': 'assistant', 'content': 'result_visualization'}]