Dataset Card for CreditCardRisk Dataset

Dataset Summary

The CreditCardRisk Dataset is an English Language dataset containing 2455 entries of customer information and the associated credit card risk

Dataset Structure

Data Instances

For each instance, there is an integer for the ID , an integer for the age, an integer for the income, a string for the gender with 2 possible values m for male and f for female, a string for the marital status with 3 possible values: married, single, divsepwid (represents divorced, separated, widow), an integer for the numkids, an integer for the numcards, a string for the howpaid with 2 possible values, weekly or monthly, a string for the mortgage with 2 possible values y (yes) or n (no), an integer for the storecar, an integer for the loans, and a string for the risk with 3 possible values, bad profit, bad loss, or good risk.

{'ID': '100,756', 'AGE': '44', 'INCOME': '59,944', 'GENDER': 'm', 'MARITAL': 'married', 'NUMKIDS': '1', 'NUMCARDS': '2', 'HOWPAID': 'monthly', 'MORTGAGE': 'y', 'STORECAR': '2', 'LOANS': '0', 'RISK': 'good risk', }

Data Fields

• ID: an integer with a unique ID for each customer
• AGE: an integer stating the age of the customer
• INCOME: an integer stating the income of the customer in USD
• GENDER: a string stating the gender of the customer with 2 possible values, either m (male) or f (female)
• MARITAL: a string stating the marital status of the customer 3 possible values, either married, single, or divsepwid
• NUMKIDS: an integer stating the number of children each customer has
• NUMCARDS: an integer stating the number of cards each customer has
• HOWPAID: a string stating the frequency of payment received by each customer with 2 possible values, monthly or weekly
• MORTGAGE: a string stating whether a customer has mortgage with 2 possible values, y or no
• STORECAR: an integer stating the number of store credit cards each customer has
• LOANS: an integer stating the number of outstanding loans each customer has
• RISK: a string stating the credit card risk per customer with 3 possible values, bad loss, bad profit or good risk

Dataset Sources

IBM Academic Initiative Program

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Dataset Structure

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Dataset Creation

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Source Data

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Personal and Sensitive Information

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Bias, Risks, and Limitations

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Recommendations

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

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