README.md

---
dataset_info:
  features:
  - name: b
    dtype: string
  - name: '30.83'
    dtype: string
  - name: '0'
    dtype: float64
  - name: u
    dtype: string
  - name: g
    dtype: string
  - name: w
    dtype: string
  - name: v
    dtype: string
  - name: '1.25'
    dtype: float64
  - name: t
    dtype: string
  - name: t.1
    dtype: string
  - name: '01'
    dtype: int64
  - name: f
    dtype: string
  - name: g.1
    dtype: string
  - name: '00202'
    dtype: string
  - name: '0.1'
    dtype: int64
  - name: +
    dtype: string
  splits:
  - name: train
    num_bytes: 69072
    num_examples: 689
  download_size: 17253
  dataset_size: 69072
license: cc
language:
- en
pretty_name: data-credit-card
size_categories:
- n<1K
---
# data-credit-card

## Overview 

The data-credit-card dataset is used for credit card applications.  It can also be used to explore biases in ML algorithms.

## Dataset Details

The original dataset, the [Credit Approval](https://archive.ics.uci.edu/datasets). This file concerns credit card applications. 
All attribute names and values have been changed to meaningless symbols to protect the confidentiality of the data.

- Dataset Name: data-credit-card
- Language:  English
- Total Size: 689  demonstrations

## Contents
The dataset consists of a data frame with 16 columns.
- A1: b, a.
- A2: continuous.
- A3: continuous.
- A4: u, y, l, t.
- A5: g, p, gg.
- A6: c, d, cc, i, j, k, m, r, q, w, x, e, aa, ff.
- A7: v, h, bb, j, n, z, dd, ff, o.
- A8: continuous.
- A9: t, f.
- A10: t, f.
- A11: continuous.
- A12: t, f.
- A13: g, p, s.
- A14: continuous.
- A15: continuous.
- A16: + (44,4%) ,- (55,6%) (class attribute)

## How to use

```python
from datasets import load_dataset

dataset = load_dataset("AiresPucrs/data-credit-card", split='train')

```

## License

This dataset is licensed under a [Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/legalcode) (CC BY 4.0) license.