A visual exploration of where, when, and why aviation incidents occur.
- index.html: HTML code
- css: CSS code
- js: JavaScript/D3.js code
- data: CSV data files
- images: PNG files
- Bootstrap 5.3.3
- D3.js v7
- TopoJSON v3
- How do accident rates change over time?
- Where do incidents cluster geographically?
- What factors (weather, mechanical failure, etc.) appear most often?
- What is the overall risk of flight travel?
AI was used for error handling and D3 best practices.
Using Python HTTP server:
python -m http.server 8000Then open your browser and go to:
http://localhost:8000
Note: You cannot open index.html directly in the browser because of CORS restrictions when loading CSV files. Use a local server.
Aviation incident datasets can be incomplete, inconsistently reported, or biased toward certain regions/time periods. Visualizations in this project are meant to show observed patterns in the available data, not definitive conclusions about all aviation safety.
This CSC316 project is for educational purposes. The dataset is from Kaggle and subject to their terms of use.