[{'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:fig, axes = plt.subplots(nrows=2,ncols=2)<br>fig.set_size_inches(12, 10)<br>sn.boxplot(data=dailyData,y="count",orient="v",ax=axes[0][0])<br>sn.boxplot(data=dailyData,y="count",x="season",orient="v",ax=axes[0][1])<br>sn.boxplot(data=dailyData,y="count",x="hour",orient="v",ax=axes[1][0])<br>sn.boxplot(data=dailyData,y="count",x="workingday",orient="v",ax=axes[1][1])<br><br>axes[0][0].set(ylabel=\'Count\',title="Box Plot On Count")<br>axes[0][1].set(xlabel=\'Season\', ylabel=\'Count\',title="Box Plot On Count Across Season")<br>axes[1][0].set(xlabel=\'Hour Of The Day\', ylabel=\'Count\',title="Box Plot On Count Across Hour Of The Day")<br>axes[1][1].set(xlabel=\'Working Day\', ylabel=\'Count\',title="Box Plot On Count Across Working Day")'}, {'role': 'assistant', 'content': "['result_visualization']"}]