[{'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:pclass_groups = titanic.groupby('Pclass')['Survived']\nprint(survival_rate_and_total(pclass_groups))\nmeans_by_pclass = pclass_groups.mean()\nmeans_by_pclass = means_by_pclass.append(pd.Series([baseline_survival]))\nN = len(means_by_pclass)\nfig, ax = plt.subplots()\nbar_width = 0.75\nleft_locs = np.arange(N)\nax.bar(left_locs, means_by_pclass, bar_width)\nax.set_ylabel('Survival Proportion')\nax.set_xlabel('Passenger Class')\nax.set_title('Survival Proportion by Passenger Class')\nax.set_xticks(left_locs + bar_width/2)\nax.set_xticklabels(('1st', '2nd', '3rd', 'Baseline'))\nsilent = plt.ylim([0,1])"}, {'role': 'assistant', 'content': 'data_exploration'}]