[{'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:import matplotlib.pyplot as plt\nimport seaborn as sns\n# Use seaborn style defaults and set the default figure size\n\ndf = train.groupby([\'date_first_booking\'])[\'country_destination\'].count().reset_index()\ndf.dropna(axis=0,inplace=True)\nimport plotly.express as px\n\nfig = px.line(df, x=\'date_first_booking\', y="country_destination")\nfig.show()\n\''}, {'role': 'assistant', 'content': 'result_visualization'}]