[{'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:a=train['country_destination'].value_counts() \na=a.drop(['NDF','other'],axis=0) \ndf_value_counts = pd.DataFrame(a)\ndf_value_counts = a.reset_index() \ndf_value_counts.columns = ['country_destination', 'value_counts'] # change column names \nmapdata= pd.merge(df_value_counts, countries,how= 'inner' , on='country_destination')\nmapdata['poppercent']=mapdata['value_counts']/mapdata['value_counts'].sum() \nmapdata['text']=['United States', 'France', 'Italy','United Kingdom', 'Spanish','Canada' ,'German', 'Dutch','Australia', 'Brazil' ] "}, {'role': 'assistant', 'content': 'data_preprocessing'}]