[{'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:from IPython.display import display, IFrame\nimport folium\ngeo_path = r'Gemeentegrenzen_2016_zonder_water_simplified_wgs84.geojson'\nref_map = folium.Map(\nlocation=[52.139177, 5.327108], # This will center the view on the world map where the Netherlands is located\ntiles='Mapbox Bright',          # This creates a base map and in this case its the Mapbox Bright basemap\nzoom_start=8)                   # This will zoom in on the center of view to get the Netherlands in full frame\nref_map.choropleth(\ngeo_path=geo_path,\ndata=p_results,\ncolumns=['municipality', 'expenditure'],\nkey_on='feature.properties.GM_NAAM',\nfill_color='YlGn',\nfill_opacity=0.7,\nline_opacity=0.2,\nlegend_name='health care expenditure per head')\nref_map.save('health_expenditure.html')              # This will save the map in a HTML format\ndisplay(IFrame('health_expenditure.html', 800,800))  # This displays the map in an Iframe"}, {'role': 'assistant', 'content': 'data_exploration'}]