[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': 'Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:zero_mean_list = []\none_mean_list = []\ncols_list = unique_values_dict[\'[0, 1]\']\nfor col in cols_list:\nzero_mean_list.append(train_df.ix[train_df[col]==0].y.mean())\none_mean_list.append(train_df.ix[train_df[col]==1].y.mean())\nnew_df = pd.DataFrame({"column_name":cols_list+cols_list, "value":[0]*len(cols_list) + [1]*len(cols_list), "y_mean":zero_mean_list+one_mean_list})\nnew_df = new_df.pivot(\'column_name\', \'value\', \'y_mean\')\nplt.figure(figsize=(8,80))\nsns.heatmap(new_df)\nplt.title("Mean of y value across binary variables", fontsize=15)\nplt.show()'}, {'role': 'assistant', 'content': 'data_exploration'}]