[{'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:fig2 = px.scatter_geo(world_df, \n                     locations="Country_Region", \n                     locationmode="country names", \n                     color="ConfirmedCases", size=\'ConfirmedCases\', \n                     hover_name="Country_Region", \n                     hover_data=[\'ConfirmedCases\', \'Fatalities\', \'MortalityRate\', \'GrowthFactor\'],\n                     range_color= [world_df[\'Confirmed_log\'].min(), world_df[\'ConfirmedCases\'].max()], \n                     projection="natural earth", \n                     animation_frame="Date",\n                     animation_group="Country_Region",\n                     color_continuous_scale="portland",\n                     title=\'COVID-19: Spread Over Time\')\n\n#fig2.layout.updatemenus[0].buttons[0].args[1]["frame"]["duration"] = 10\n#fig2.layout.updatemenus[0].buttons[0].args[1]["transition"]["duration"] = 10\nfig2.layout.coloraxis.showscale = False\n#fig2.layout.sliders[0].pad.t = 10\n#fig2.layout.updatemenus[0].pad.t= 10\nfig2.show()\''}, {'role': 'assistant', 'content': 'helper_functions'}]