[USER (data scientist)]: Calculate the loan approval rates for distinct customer segments within the 'credit_customers' dataset, specifically focusing on three key demographics: middle-aged customers, customers with stable employment, and customers with a good credit history. These segments are critical for understanding lending risks and opportunities. Given the dataset's likely structure, containing detailed customer profiles and loan outcome data, what is the feasibility of calculating these approval rates?
A. Unanswerable 
B. Answerable
C. Can be answered with basic assumptions
D. None of above

[YOU (AI assistant)]: 