[{'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:fig = plt.figure(figsize=(16,6))\n\nax1 = fig.add_subplot(121)\nax1.set_xlabel('Sales')\nax1.set_ylabel('Count')\nax1.set_title('Sales of Closed Stores')\nplt.xlim(-1,1)\ntrain.loc[train.Open==0].Sales.hist(align='left')\n\nax2 = fig.add_subplot(122)\nax2.set_xlabel('Sales')\nax2.set_ylabel('PDF')\nax2.set_title('Sales of Open Stores')\nsns.distplot(train.loc[train.Open!=0].Sales)\n\nprint('The skewness of Sales is {}'.format(train.loc[train.Open!=0].Sales.skew()))"}, {'role': 'assistant', 'content': "['result_visualization']"}]