[{'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:def get_iso3_util(country_name):\n    try:\n        country = pycountry.countries.get(name=country_name)\n        return country.alpha_3\n    except:\n        if 'Congo' in country_name:\n            country_name = 'Congo'\n        elif country_name == 'Diamond Princess' or country_name == 'Laos':\n            return country_name\n        elif country_name == 'Korea, South':\n            country_name = 'Korea, Republic of'\n        elif country_name == 'Taiwan*':\n            country_name = 'Taiwan'\n        country = pycountry.countries.search_fuzzy(country_name)\n        return country[0].alpha_3\n\nd = {}\ndef get_iso3(country):\n    if country in d:\n        return d[country]\n    else:\n        d[country] = get_iso3_util(country)\n    \ndf_map['iso_alpha'] = df_map.apply(lambda x: get_iso3(x['Country_Region']), axis=1)"}, {'role': 'assistant', 'content': 'data_preprocessing'}]