Name:

Description:

This dataset contains information on default payments, demographic factors, credit data, history of payment, and bill statements of credit card clients in Taiwan from April 2005 to September 2005.

Variables:

There are 25 variables:

• ID: ID of each client

• LIMIT_BAL: Amount of given credit in NT dollars (includes individual and family/supplementary credit

• SEX: Gender (1=male, 2=female)

• EDUCATION: (1=graduate school, 2=university, 3=high school, 4=others, 5=unknown, 6=unknown)

• MARRIAGE: Marital status (1=married, 2=single, 3=others)

• AGE: Age in years

• PAY_0: Repayment status in September, 2005 (-1=pay duly, 1=payment delay for one month, 2=payment delay for two months, … 8=payment delay for eight months, 9=payment delay for nine months and above)

• PAY_2: Repayment status in August, 2005 (scale same as above)

• PAY_3: Repayment status in July, 2005 (scale same as above)

• PAY_4: Repayment status in June, 2005 (scale same as above)

• PAY_5: Repayment status in May, 2005 (scale same as above)

• PAY_6: Repayment status in April, 2005 (scale same as above)

• BILL_AMT1: Amount of bill statement in September, 2005 (NT dollar)

• BILL_AMT2: Amount of bill statement in August, 2005 (NT dollar)

• BILL_AMT3: Amount of bill statement in July, 2005 (NT dollar)

• BILL_AMT4: Amount of bill statement in June, 2005 (NT dollar)

• BILL_AMT5: Amount of bill statement in May, 2005 (NT dollar)

• BILL_AMT6: Amount of bill statement in April, 2005 (NT dollar)

• PAY_AMT1: Amount of previous payment in September, 2005 (NT dollar)

• PAY_AMT2: Amount of previous payment in August, 2005 (NT dollar)

• PAY_AMT3: Amount of previous payment in July, 2005 (NT dollar)

• PAY_AMT4: Amount of previous payment in June, 2005 (NT dollar)

• PAY_AMT5: Amount of previous payment in May, 2005 (NT dollar)

• PAY_AMT6: Amount of previous payment in April, 2005 (NT dollar)

• default.payment.next.month: Default payment (1=yes, 0=no)

Link To Google Sheets:

Rows:

Columns:

Files:

License Type:

References/Notes/Attributions:

Acknowledgments

Any publications based on this dataset should acknowledge the following:

Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.

The original dataset can be found here at the UCI Machine Learning Repository.

R Dataset Upload:

Use the following R code to directly access this dataset in R.

R Coding Interface: