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Name:

Description:

A simulated data set containing information on ten thousand customers. The aim here is to predict which customers will default on their credit card debt.

Variables:

A data frame with 10000 observations on the following 5 variables.

default

A factor with levels No and Yes indicating whether the customer defaulted on their debt

student

A factor with levels No and Yes indicating whether the customer is a student

balance

The average balance that the customer has remaining on their credit card after making their monthly payment

income

Income of customer

Link To Google Sheets:

Rows:

Columns:

License Type:

References/Notes/Attributions:

Source

Simulated data

References

James, G., Witten, D., Hastie, T., and Tibshirani, R. (2013) An Introduction to Statistical Learning with applications in R, www.StatLearning.com, Springer-Verlag, New York

R Dataset Upload:

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

d <- read.csv("https://www.key2stats.com/Credit_Card_Default_Data_968_67.csv")

R Coding Interface:


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