[{'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:plt.figure()\nplt.scatter(reviews_latitude_list, reviews_longitude_list, color = 'green', marker = '*', s = 50) # locations of businesses reviewed by the user\nplt.scatter(tips_latitude_list, tips_longitude_list, color = 'orange', marker = '*', s = 50)\nplt.scatter(user_mean_latitude, user_mean_longitude, color = 'blue',marker='x', s = 80, linewidths=2.5) # mean location for the user\nplt.scatter(reco_latitude_list, reco_longitude_list, color = 'red', s = 10) # recommneded businesses\nplt.ylabel('Latitude')\nplt.xlabel('Longitude')"}, {'role': 'assistant', 'content': "['result_visualization']"}]