[{'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:details = {\n'totals': {\n'highRisk': df.highRisk.sum(),\n'suspect': df.suspect.sum(),\n'nonSuspect': df.nonSuspect.sum(),\n'total': df.total.sum(),\n},\n'source': {},\n'subsource': {},\n'campaign': {},\n'domain': {}\n}\nparameters = ['source', 'campaign', 'domain', 'subsource']\nrisks = ['highRisk', 'suspect', 'nonSuspect', 'total']\nfor p in parameters:\ngrouped = df.groupby(p).sum()\nfor c in grouped:\nprint(c)\ntmp = {c.name: {\nrisks[0]: c[risks[0]]\n}}\ndetails[p].update({a[0]: {r: a[1]}})"}, {'role': 'assistant', 'content': 'data_preprocessing'}]