[{'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:import matplotlib.pyplot as plt\nimport seaborn as sns\nimport pandas as pd\nimport numpy as np\nimport os\nimport datetime as dt\n%matplotlib inline\nsns.set_context('notebook')\npath = '/'.join(os.getcwd().split('/')[:-2])\nprint(path)\ntci = pd.read_csv(path+'/data/model_data/tci_1_0.csv', parse_dates=['Date'], dtype={'PIN': str})\ncols = ['parcel','vacant','Date','Survey Category','Survey Grade','SPA_NAME']\ntci = tci[cols]\nppns = set(tci['parcel'])\ndates = dict(zip(tci.parcel, tci.Date))\nprint(tci.shape)"}, {'role': 'assistant', 'content': 'load_data'}]