[{'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:# Understanding New cases confirmation variations on daily basis\nplt.figure(figsize=(20,16))\nfor i,country in enumerate(list_countries):\n    plt.subplot(4,3,i+1)\n    train_df[(train_df['Country_Region']==country)&(train_df['ConfirmedCases']!=0)].groupby('Date')['ConfirmedCases'].sum().diff().diff().plot(color=colors[i])\n    plt.ylabel('Difference in Daily reporting cases ')\n    plt.title('Variation of {}'.format(country),va='bottom')\nplt.suptitle('Variation in number of confirmed cases on daily basis',fontsize=24,va='baseline')"}, {'role': 'assistant', 'content': 'result_visualization'}]