Description Usage Format Source

This data set consist of the ten and ninety per cent quantiles of the intervals for four interval characteristics for 35 risk levels (from A1 to G5) of loans. The original microdata is available at the Kaggle Data Science platform and consists of 887 383 loan records characterized by 75 descriptors. Among the large set of variables available, we focus on borrowers' income and account and loan information aggregated by the 35 risk levels wich are considered as the units of interest.

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A data frame containing 35 observations on the following 8 variables.

- ln-inc_q0.10
The ten percent quantile, for the current risk category, of natural logarithm of the self-reported annual income provided by the borrower during registration.

- ln-inc_q0.90
The ninety percent quantile, for the current risk category, of natural logarithm of the self-reported annual income provided by the borrower during registration.

- int-rate_q0.10
The ten percent quantile, for the current risk category, of the interest rate on the loan.

- int-rate_q0.90
The ninety percent quantile, for the current risk category, of the interest rate on the loan.

- open-acc_q0.10
The ten percent quantile, for the current risk category, of the number of open credit lines in the borrower's credit file.

- open-acc_q0.90
The ninety percent quantile, for the current risk category, of the number of open credit lines in the borrower's credit file.

- total-acc_q0.10
The ten percent quantile, for the current risk category, of the total number of credit lines currently in the borrower's credit file.

- total-acc_q0.90
The ninety percent quantile, for the current risk category, of the total number of credit lines currently in the borrower's credit file.

https:www.kaggle.com/wendykan/lending-club-loan-data

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