This repository provides a statistical analysis and visualisation of health insurance charges using R. It explores key factors like age, BMI, smoking status, and region through regression models, non-parametric tests, and visualisations, offering actionable insights to improve affordability, accessibility, and equity in healthcare coverage.
active 2024-12-24 → 2025-01-22 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 30 days from 2024-12-24 to 2025-01-22. Pushes: 6 total, peak 6 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| enniej | 6 | 6 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.