"text": Now that we've taken care of encoding the categorical variables, let's jump to question three. Can you create some code to figure out if we need to normalize the credit_customers dataset? Just see if the value goes beyond 1, and if it does, we should normalize it. Oh, and don't forget to recommend a normalization method if it's needed. I hope it centers each feature around 0 with a standard deviation of 1

"options": 
A. Unanswerable 
B. Answered  
C. Can be answered with basic assumptions

"correct_answer": "C"