[{'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:b"def define_data(data , info=True ,shape = True, percentage =True,describe = True , sample=True , columns = False):\\n    if columns == True:\\n        print(\'\\\\nColumns of Data...\')\\n        print(data.columns)\\n        return \\n    if shape ==True:\\n        print(\'Shape of Data is...\')\\n        print(data.shape)\\n    if info==True:\\n        print(\'\\\\nInfo of Data...\')\\n        print(data.info())\\n    if percentage ==True:\\n        print(\'\\\\nPercentage of Data Missing ...\')\\n        print((data.isnull().sum()/data.shape[0])*100)\\n    if describe == True:\\n        print(\'\\\\nDescription of data...\')\\n        display(data.describe())\\n    if sample == True:\\n        print(\'\\\\nSample of Data...\')\\n        display(data.sample(10).T)\\n    \\n\\ndefine_data(train)"'}, {'role': 'assistant', 'content': "['helper_functions']"}]