[{'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:fc = pd.read_csv(path+\'/data/clean_data/foreclosure_filings2.csv\', parse_dates=[2])\nsa = pd.read_csv(path+\'/data/clean_data/sheriff_auction.csv\', parse_dates=[2], encoding="ISO-8859-1")\nt = pd.read_csv(path+\'/data/clean_data/transfers.csv\', parse_dates=[\'mdate\'], dtype=str)\nt = t.sort_values(\'mdate\', ascending=False)\nal = pd.read_csv(path+\'/data/clean_data/armslength.csv\', dtype=str)\nal = al.drop_duplicates()\nmonths = dict(zip([\'JAN\',\'FEB\',\'MAR\',\'APR\',\'MAY\',\'JUN\',\'JUL\',\'AUG\',\'SEP\',\'OCT\',\'NOV\',\'DEC\'],range(1,13)))\ndef parse_date(x):\nday = int(x[0:2])\nmonth = months[x[2:5]]\nyear = int(x[5:])\nreturn dt.datetime(year,month,day)\nal[\'date\'] = al.mdate.apply(parse_date)\nal = al.sort_values(\'date\')\ndef parse_amount(x):\nreturn float(str(x)[1:].replace(\',\',\'\'))'}, {'role': 'assistant', 'content': 'load_data'}]