[{'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:fertility_df, life_expectancy_df, population_df_size, regions_df, years, regions = process_data()\nsources = {}\nregion_color = regions_df['region_color']\nregion_color.name = 'region_color'\nfor year in years:\nfertility = fertility_df[year]\nfertility.name = 'fertility'\nlife = life_expectancy_df[year]\nlife.name = 'life'\npopulation = population_df_size[year]\npopulation.name = 'population'\nnew_df = pd.concat([fertility, life, population, region_color], axis=1)\nsources['_' + str(year)] = ColumnDataSource(new_df)"}, {'role': 'assistant', 'content': "['load_data']"}]