[{'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:df = pd.read_json(open("../input/test.json", \'r\'))<br>df[\'num_photos\'] = df[\'photos\'].apply(len)<br>df[\'num_features\'] = df[\'features\'].apply(len)<br>df[\'num_description_words\'] = df[\'description\'].apply(lambda x: len(x.split(\' \')))<br>df[\'created\'] = pd.to_datetime(df[\'created\'])<br>df[\'created_year\'] = df[\'created\'].dt.year<br>df[\'created_month\'] = df[\'created\'].dt.month<br>df[\'created_day\'] = df[\'created\'].dt.day<br>df[\'created_hour\'] = df[\'created\'].dt.hour<br>df[\'created_minute\'] = df[\'created\'].dt.minute<br>X = df[num_feats]'}, {'role': 'assistant', 'content': "['data_preprocessing']"}]