# Source: loan_approval
**Category:** economy
**README generated:** 2025-10-02 12:52:18Z

## Source URL(s)
- https://www.kaggle.com/datasets/taweilo/loan-approval-classification-data

## Citation(s)
- Taweilo. (2024). Loan Approval Classification Data [Dataset]. Kaggle. https://www.kaggle.com/datasets/taweilo/loan-approval-classification-data

## Variables (X → Y)
[Filtered by: person_home_ownership, previous_loan_defaults_on_file, person_education, loan_status, person_gender, loan_intent]

- person_income → loan_amnt
- person_income → loan_int_rate
- person_income → loan_percent_income

## Causal reasoning

In this dataset, the causes are features which relate to people (such as the age, the income and the years of employement experience) that have an effect on the respective loans.