[{'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:df_register = df[['selling_interest', 'would_register', 'count']].groupby(['selling_interest','would_register']).count().unstack()\nax = df_register.plot.bar(title='Student\\'s Interest in Selling Guest Meals', stacked = True, color=['b', 'r', 'g'], rot=0, figsize=(8,6), width=0.8)\nax.legend(['Maybe','No','Yes'], title = 'Register to Guestmeal.me', loc='best')\nax.set_xlabel('Interested in Selling Guest Meals')\nax.set_ylabel('Number of Students')\nax.set_ylim(None, 45)\nax.yaxis.grid(True)\nfig = ax.get_figure()\nfig.savefig('interest.png')\nprint(df_register)"}, {'role': 'assistant', 'content': "['data_exploration']"}]