In today's world we are on an express train to a cashless society. Credit cards are an excellent tool for making payments in a cashless society. However, banks do not approve all credit card applications. They consider multiple factors while deciding whether to approve card applications such as credit history ,income , expenditure , age , owner of the house etc. Using this Credit Card dataset we can understand how each of these variables affect one in being approved for getting a Credit Card.
The data was about the credit history for a sample of applicants for a type of credit card.
The dataset consists of approximately 1,319 observations on 12 variables.