Dataset research report
Australian Credit research report
A reproducible data report with schema notes, generated chart evidence, suggested follow-up questions, and export-ready Helix queries.
Executive Summary
Australian Credit The Australian Credit from the UCI ML repository. Classification of loan approval. Configurations and tasks Configuration Task Description australian_credit Binary classification Is the loan granted? Usage from datasets import load_dataset dataset = load_dataset("mstz/australian_credit")["train"] Features Target feature changes according to the selected configuration and is always in last position… See the full description on the dataset page: https://huggingface.co/datasets/mstz/australian_credit.
Research Context
Australian Credit: 500 rows by 15 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.
Total feature_2 by feature_1
Top feature_1 values ranked by summed feature_2.
Open and export this chartfeature_2 vs feature_3
feature_2 vs feature_3, coloured by feature_1.
Open and export this chartCorrelation of numeric columns
Pearson correlation between numeric columns.
Open and export this chartfeature_2 by feature_1
Spread of feature_2 across feature_1 groups.
Open and export this chartFollow-Up Queries
Preview Rows
| # | feature_1boolean | feature_2float | feature_3float | feature_4float | feature_5float | feature_6float | feature_7float | feature_8float |
|---|---|---|---|---|---|---|---|---|
| 1 | True | 22.08 | 11.46 | 2 | 4 | 4 | 1.585 | 0 |
| 2 | False | 22.67 | 7 | 2 | 8 | 4 | 0.165 | 0 |
| 3 | False | 29.58 | 1.75 | 1 | 4 | 4 | 1.25 | 0 |
| 4 | False | 21.67 | 11.5 | 1 | 5 | 3 | 0 | 1 |
| 5 | True | 20.17 | 8.17 | 2 | 6 | 4 | 1.96 | 1 |
| 6 | False | 15.83 | 0.585 | 2 | 8 | 8 | 1.5 | 1 |
Data Dictionary
- feature_1 bool
- feature_2 numeric
- feature_3 numeric
- feature_4 numeric
- feature_5 numeric
- feature_6 numeric
- feature_7 numeric
- feature_8 numeric
- feature_9 numeric
- feature_10 numeric
- feature_11 numeric
- feature_12 numeric
- feature_13 numeric
- feature_14 numeric
- is_granted numeric
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.