[{'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:b"fig, axes = plt.subplots(ncols=5, figsize=(20,8))\\nsns.distplot(X_train[\'Weekly_Sales\'], bins=10, ax=axes[0]).set_title(\'Weekly Sales\')\\nsns.distplot(X_train[\'Weekly_Sales_Log\'], bins=10, ax=axes[1]).set_title(\'Log(1+Weekly Sales)\')\\nsns.distplot(X_train_tf[\'Weekly_Sales_Log\'], bins=10, ax=axes[2]).set_title(\'Log(1+Weekly Sales)\\\\nno outliers\')\\nsns.distplot(X_train[\'Weekly_Sales_tf\'], bins=10, ax=axes[3]).set_title(\'(1+Weekly Sales)\\\\nQauntile Transformer\')\\nsns.distplot(X_train_tf[\'Weekly_Sales_tf\'], bins=10, ax=axes[4]).set_title(\'(1+Weekly Sales)\\\\nQauntile Transformer\\\\nno outliers\')\\n\\nplt.tight_layout()"'}, {'role': 'assistant', 'content': "['result_visualization']"}]