[{'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:# https://seaborn.pydata.org/tutorial/categorical.html\n# sns.swarmplot(x="phone_brand", y="age", hue="gender", data=df_train);\nfig = plt.figure(figsize=(20, 6))\nax = sns.boxplot(x="phone_brand", y="age", hue="gender", data=df_train[df_train.phone_brand.isin(share_majority)].sort_values(\'age\'), ax=fig.gca());\nax.set_xticklabels(share_majority, rotation=30);\nstr(share_majority)\''}, {'role': 'assistant', 'content': "['result_visualization']"}]