[{'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:df_train = pd.read_csv('data/train.csv')\nsurvived = df_train['Survived'].values\nage = df_train['Age'].values\nreds_dead = []\nblues_survive = []\nfor i in range(len(survived)):\nif survived[i] == 1:\nif np.isnan(age[i]) == False:\nblues_survive.append(age[i])\nelse:\nif np.isnan(age[i]) == False:\nreds_dead.append(age[i])\nred_ = reds_dead[0:289]\nred__ = reds_dead[289:]\nplt.margins(0.05)\nplt.xlabel('Index')\nplt.ylabel('Age')\nplt.plot(red_, 'ro')\nplt.plot(red__, 'ro')\nplt.plot(blues_survive, 'bo')\nplt.show()"}, {'role': 'assistant', 'content': "['load_data', 'data_exploration']"}]