[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': "Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:data_over_age = data[data.age > 30]\nmedian_ratings_gender_age = data_over_age.pivot_table('rating', index='title', columns='gender', aggfunc='median')\nactive_titlesM = median_ratings_gender_age.index[median_ratings_gender_age['M'] > 4.5]\nactive_titlesF = median_ratings_gender_age.index[median_ratings_gender_age['F'] > 4.5]\nmedian_ratings_genderM_age_fpf = median_ratings_gender_age.ix[active_titlesM]\nmedian_ratings_genderF_age_fpf = median_ratings_gender_age.ix[active_titlesF]\nprint('Rating over 4.5 among Male over age 30:', len(median_ratings_genderM_age_fpf))\nprint('Rating over 4.5 among Female over age 30:', len(median_ratings_genderF_age_fpf))"}, {'role': 'assistant', 'content': "['data_exploration']"}]