[{'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:crime = pd.read_csv('DPD__All_Crime_Incidents__2009_-_Present__Provisional.csv') # Read the file from my harddrive\nprint('Original Dimensions:', crime.shape)                                       # Provides dataset dimensions\ncrime = crime.rename(columns={'CASEID':'Case ID',                                # Renaming the columns\n'ADDRESS':'Address',\n'HOUR':'Hour',\n'INCIDENTDATE':'Incident Date',\n'LAT':'Latitude',\n'LON':'Longitude',\n'NEIGHBORHOOD':'Neighborhood',\n'CATEGORY':'Category',\n'OFFENSEDESCRIPTION':'Offense Description'})\ncrime = crime[['Case ID','Longitude','Latitude','Address','Incident Date','Hour','Neighborhood','Category','Offense Description']].set_index('Case ID')\nprint('New Dimensions:', crime.shape)                                           # Dimensions for new dataset (fewer columns)\ncrime.head(2)"}, {'role': 'assistant', 'content': "['load_data', 'data_exploration']"}]