[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': 'Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:#For UK\nconfirmed_total_date_UK = xtrain[xtrain[\'Country_Region\']==\'United Kingdom\'].groupby([\'Date\']).agg({\'ConfirmedCases\':[\'sum\']})\nfatalities_total_date_UK = xtrain[xtrain[\'Country_Region\']==\'United Kingdom\'].groupby([\'Date\']).agg({\'Fatalities\':[\'sum\']})\ntotal_date_UK = confirmed_total_date_UK.join(fatalities_total_date_UK)\n\n\n#For Singapore\nconfirmed_total_date_Singapore = xtrain[xtrain[\'Country_Region\']==\'Singapore\'].groupby([\'Date\']).agg({\'ConfirmedCases\':[\'sum\']})\nfatalities_total_date_Singapore = xtrain[xtrain[\'Country_Region\']==\'Singapore\'].groupby([\'Date\']).agg({\'Fatalities\':[\'sum\']})\ntotal_date_Singapore = confirmed_total_date_Singapore.join(fatalities_total_date_Singapore)\n\nplt.figure(figsize=(15,10))\n\nplt.subplot(2, 2, 1)\ntotal_date_UK.plot(ax=plt.gca(), title=\'United Kingdom\')\nplt.ylabel("Confirmed infection cases", size=13)\n\nplt.subplot(2, 2, 2)\ntotal_date_Singapore.plot(ax=plt.gca(), title=\'Singapore\')\nplt.ylabel("Confirmed infection cases", size=13)\''}, {'role': 'assistant', 'content': "['result_visualization']"}]