[{'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:%matplotlib inline\nfrom matplotlib import pyplot as plt\nimport seaborn as sns\nsns.set(font_scale=1.4)\nsns.set(style="whitegrid")\ng = sns.factorplot(x = "Country Name", y="2000", hue="Indicator Name", data=worldBankDeaths,\nkind="bar",size=7, aspect=2,legend = False)\ng.despine(left=True)\ng.set_xlabels("Country by income level in 2000",size=15)\ng.set_xticklabels(size=14)\ng.set_ylabels("Percentage of deaths in year 2000(%)",size=15)\nplt.legend(loc=\'lower right\', bbox_to_anchor=(1, -0.35), fontsize=14)\ng.fig.suptitle("Analysis of causes of deaths in countries (based on income group) in 2000", size=16)\ng.fig.subplots_adjust(top=.88)\ng.savefig("ana_4.2.png")'}, {'role': 'assistant', 'content': "['helper_functions', 'data_exploration']"}]