Dataset research report
Credit Card Clients research report
A reproducible data report with schema notes, generated chart evidence, suggested follow-up questions, and export-ready Helix queries.
Executive Summary
Default of Credit Card Clients Dataset The following was retrieved from UCI machine learning repository. Dataset Information This dataset contains information on default payments, demographic factors, credit data, history of payment, and bill statements of credit card clients in Taiwan from April 2005 to September 2005. Content There are 25 variables: ID: ID of each client LIMIT_BAL: Amount of given credit in NT dollars (includes individual and family/supplementary credit SEX:… See the full description on the dataset page: https://huggingface.co/datasets/scikit-learn/credit-card-clients.
Research Context
Credit Card Clients: 500 rows by 25 columns. These exploratory charts are generated automatically from the data - open the dataset in Helix to ask your own questions.
Data Profile
Chart Evidence
These views are generated from the dataset profile. Each chart is paired with a Helix query so it can be opened, adjusted, and exported.
Correlation of numeric columns
Pearson correlation between numeric columns.
Open and export this chartFollow-Up Queries
Preview Rows
| # | IDinteger | LIMIT_BALfloat | SEXinteger | EDUCATIONinteger | MARRIAGEinteger | AGEinteger | PAY_0integer | PAY_2integer |
|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 20000 | 2 | 2 | 1 | 24 | 2 | 2 |
| 2 | 2 | 120000 | 2 | 2 | 2 | 26 | -1 | 2 |
| 3 | 3 | 90000 | 2 | 2 | 2 | 34 | 0 | 0 |
| 4 | 4 | 50000 | 2 | 2 | 1 | 37 | 0 | 0 |
| 5 | 5 | 50000 | 1 | 2 | 1 | 57 | -1 | 0 |
| 6 | 6 | 50000 | 1 | 1 | 2 | 37 | 0 | 0 |
Data Dictionary
- ID numeric
- LIMIT_BAL numeric
- SEX numeric
- EDUCATION numeric
- MARRIAGE numeric
- AGE numeric
- PAY_0 numeric
- PAY_2 numeric
- PAY_3 numeric
- PAY_4 numeric
- PAY_5 numeric
- PAY_6 numeric
- BILL_AMT1 numeric
- BILL_AMT2 numeric
- BILL_AMT3 numeric
- BILL_AMT4 numeric
- BILL_AMT5 numeric
- BILL_AMT6 numeric
- PAY_AMT1 numeric
- PAY_AMT2 numeric
- PAY_AMT3 numeric
- PAY_AMT4 numeric
- PAY_AMT5 numeric
- PAY_AMT6 numeric
- default.payment.next.month datetime
Method And Limits
- Load the catalog entry and preview rows from the processed dataset file.
- Infer numeric, categorical, time, and location fields from real columns.
- Generate a small set of defensive Plotly chart specifications from that profile.
- Expose each chart idea as a query link so the report can be rerun or exported in Helix.
This report is intentionally reproducible. It uses the local catalog metadata and generated chart specifications rather than claiming external conclusions beyond the dataset.