Dataset research report
Contraceptive research report
A reproducible data report with schema notes, generated chart evidence, suggested follow-up questions, and export-ready Helix queries.
Executive Summary
Contraceptive The Contraceptive dataset from the UCI repository. Does the couple use contraceptives? Configurations and tasks Configuration Task Description contraceptive Binary classification Does the couple use contraceptives? Usage from datasets import load_dataset dataset = load_dataset("mstz/contraceptive", "contraceptive")["train"]
Research Context
Contraceptive: 500 rows by 10 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 age_of_wife by is_wife_muslim
Top is_wife_muslim values ranked by summed age_of_wife.
Open and export this chartage_of_wife vs education_level_of_wife
age_of_wife vs education_level_of_wife, coloured by is_wife_muslim.
Open and export this chartCorrelation of numeric columns
Pearson correlation between numeric columns.
Open and export this chartage_of_wife by is_wife_muslim
Spread of age_of_wife across is_wife_muslim groups.
Open and export this chartFollow-Up Queries
Preview Rows
| # | age_of_wifeinteger | education_level_of_wifeinteger | education_level_of_husbandinteger | number_of_born_childreninteger | is_wife_muslimboolean | is_wife_a_housekeeperboolean | job_of_husbandinteger | standard_of_livinginteger |
|---|---|---|---|---|---|---|---|---|
| 1 | 24 | 2 | 3 | 3 | True | True | 2 | 3 |
| 2 | 45 | 1 | 3 | 10 | True | True | 3 | 4 |
| 3 | 43 | 2 | 3 | 7 | True | True | 3 | 4 |
| 4 | 42 | 3 | 2 | 9 | True | True | 3 | 3 |
| 5 | 36 | 3 | 3 | 8 | True | True | 3 | 2 |
| 6 | 19 | 4 | 4 | 0 | True | True | 3 | 3 |
Data Dictionary
- age_of_wife numeric
- education_level_of_wife numeric
- education_level_of_husband numeric
- number_of_born_children numeric
- is_wife_muslim bool
- is_wife_a_housekeeper bool
- job_of_husband numeric
- standard_of_living numeric
- is_media_exposure_negative bool
- use_contraceptives 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.