[{'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:url3 = 'https://data.detroitmi.gov/resource/8xpr-6ij9.json'\nschool = pd.read_json(url3)\nschool = school.rename(columns={'entityoffi':'School',        # Rename columns\n'the_geom':'Location',\n'entityphys':'Address',\n'entityph_4':'Zip Code'})\nschool.insert(1, 'Longitude', 0.0)               # Inserts a column in the dataframe for longitude\nschool.insert(2, 'Latitude', 0.0)                # Inserts a column in the dataframe for latitude\nfor (i, s) in school.iterrows():                 # Iteration for one row at a time of the dataframe\ncurr_dict = s['Location']                    # Pulls out dictionary from cell containing coordinates\ncoord = curr_dict['coordinates']             # Pulls out coordinates from dictionary\nschool.set_value(i, 'Longitude', coord[0])   # Places the first value in the dictionary in Longitude\nschool.set_value(i, 'Latitude', coord[1])    # Places the second value in the dictionary in Latitude\nschool = school[['School', 'Longitude', 'Latitude', 'Address', 'Zip Code']].set_index('School')\nschool.head(2)"}, {'role': 'assistant', 'content': "['load_data', 'data_exploration']"}]