The data in credit.csv contains simulated credit card data for 400 individuals. These data are from James et al. (2013). The variables in the data set are:
balance: Customer’s average credit card balance (in dollars)income: Customer’s reported income (in $10,000 dollars)limit: Credit limit issued to customerrating: Customer’s credit rating; higher values indicate a better credit ratingcards: Number of credit cards the customer hasage: Customer’s ageeducation: Number of years of education
Preview
# A tibble: 6 x 7
balance income limit rating cards age education
<dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 333 14.9 3606 283 2 34 11
2 903 106. 6645 483 3 82 15
3 580 105. 7075 514 4 71 11
4 964 149. 9504 681 3 36 11
5 331 55.9 4897 357 2 68 16
6 1151 80.2 8047 569 4 77 10
References
James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An introduction to statistical learning: With applications in R. Springer.