[{'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 CreateHomeworkData(rows):\nhw_data = [] # empty list\ncust_num = np.arange(1, 41, 1)\nfamily_size = np.random.poisson(5, size = rows)\nincome = np.random.normal(loc = 70000, scale = 8000, size = rows)\ncategory_spending = np.random.uniform(low = 1000, high = 4000, size = rows)\ncompleted_survey = np.random.randint(low = 0, high = 2, size = rows)\ntime_zones_values = ['Pacific', 'Mountain', 'Central', 'Eastern']\ntime_zones = [time_zones_values[np.random.randint(low = 0, high = len(time_zones_values))] for i in range(rows)]\nspending = category_spending + family_size * 110 + completed_survey * 100\nhw_data.extend(zip(cust_num, spending, time_zones, category_spending, completed_survey, income, family_size))\nreturn hw_data"}, {'role': 'assistant', 'content': 'data_preprocessing'}]