[{'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:url1 = 'https://data.detroitmi.gov/resource/3n6r-g9kp.json'\npolice = pd.read_json(url1)\npolice = police.rename(columns={'address_1':'Address',         # Rename columns\n'zip_code':'Zip Code',\n'id':'ID'})\npolice.insert(1, 'Longitude', 0.0)                # Inserts a column in the dataframe for longitude\npolice.insert(2, 'Latitude', 0.0)                 # Inserts a column in the dataframe for latitude\nfor (i, ps) in police.iterrows():                 # Iteration for one row at a time of the dataframe\ncurr_dict = ps['location']                    # Pulls out dictionary from cell containing coordinates\ncoord = curr_dict['coordinates']              # Pulls out coordinates from dictionary\npolice.set_value(i, 'Longitude', coord[0])    # Places the first value in the dictionary in Longitude\npolice.set_value(i, 'Latitude', coord[1])     # Places the second value in the dictionary in Latitude\npolice = police[['ID','Longitude','Latitude','Address','Zip Code']].set_index('ID')\npolice.head(2)"}, {'role': 'assistant', 'content': "['load_data', 'data_exploration']"}]