[{'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:\nfrom plotly.offline import download_plotlyjs,init_notebook_mode,plot,iplot\ninit_notebook_mode(connected=True)\n\ndata=go.Choropleth(\n    locations=map_df[\'Country Code\'], # Spatial coordinates\n    z = map_df[\'ConfirmedCases\'], # Data to be color-coded,\n    colorscale = \'Reds\',\n    text=map_df[\'Country\'],\n    colorbar_title = "Number of Confirmed Cases",)\n\nfig=go.Figure(data)\n\nfig.update_layout(\n    title=\'Covid-19 Confirmed Cases\',\n           geo=dict(showframe=False,\n                   projection={\'type\':\'robinson\'}))\n\n\niplot(fig)\''}, {'role': 'assistant', 'content': 'result_visualization'}]