[{'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_count_list = []\none_count_list = []\ncols_list = unique_values_dict[\'[0, 1]\']\nfor col in cols_list:\nzero_count_list.append((train_df[col]==0).sum())\none_count_list.append((train_df[col]==1).sum())\nN = len(cols_list)\nind = np.arange(N)\nwidth = 0.35\nplt.figure(figsize=(6,100))\np1 = plt.barh(ind, zero_count_list, width, color=\'red\')\np2 = plt.barh(ind, one_count_list, width, left=zero_count_list, color="blue")\nplt.yticks(ind, cols_list)\nplt.legend((p1[0], p2[0]), (\'Zero count\', \'One Count\'))\nplt.show()'}, {'role': 'assistant', 'content': 'data_exploration'}]