[{'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:df_register = df[[\'selling_interest\', \'unused\', \'count\']].groupby([\'unused\',\'selling_interest\']).count().unstack()\nax = df_register.plot.bar(title="Student\'s Interest in Selling Guest Meals and Unused Meals", stacked = True, color=[\'b\', \'r\'], rot=0, figsize=(8,6), width=0.8)\nax.legend([\'No\',\'Yes\'], title = \'Interested in selling meals\', loc=\'best\')\nax.set_xlabel(\'Number of Meals each Student had leftover\')\nax.set_ylabel(\'Number of Students\')\nax.set_ylim(None, 8)\nax.yaxis.grid(True)\nfig = ax.get_figure()\nfig.savefig(\'availablemeals.png\')\nprint(df_register)'}, {'role': 'assistant', 'content': 'data_exploration'}]