[{'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:url2 = 'https://data.detroitmi.gov/resource/hz79-58xh.json'\nfire = pd.read_json(url2)\nfire = fire.rename(columns={'station':'Station',               # Rename columns\n'full_address_address':'Address',\n'full_address_zip':'Zip Code'})\nfire.insert(1, 'Longitude', 0.0)                 # Inserts a column in the dataframe for longitude\nfire.insert(2, 'Latitude', 0.0)                  # Inserts a column in the dataframe for latitude\nfor (i, fs) in fire.iterrows():                  # Iteration for one row at a time of the dataframe\ncurr_dict = fs['full_address']               # Pulls out dictionary from cell containing coordinates\ncoord = curr_dict['coordinates']             # Pulls out coordinates from dictionary\nfire.set_value(i, 'Longitude', coord[0])     # Places the first value in the dictionary in Longitude\nfire.set_value(i, 'Latitude', coord[1])      # Places the second value in the dictionary in Latitude\nfire = fire[['Station','Longitude','Latitude','Address','Zip Code']].set_index('Station')\nfire.head(2)"}, {'role': 'assistant', 'content': "['load_data', 'data_exploration']"}]