[{'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:%matplotlib inline\nimport seaborn as sns\nsns.set(style="whitegrid")\ng = sns.factorplot(x = "Country Name", y="Population density (people per sq. km of land area)", hue="Year", data=worldBankDataPopulation,\nkind="bar",size=6, aspect=2)\ng.despine(left=True)\ng.set_xlabels("Country by income level",size=15)\ng.set_ylabels("Population density (people per sq. km of land area)",size=15)\ng.savefig("ana_4.1.png")'}, {'role': 'assistant', 'content': 'data_exploration'}]