Export Image
Export Code

Fork of Fork of Fork of HTML Starter

Nita

Friday, May 30, 2025: 0 viewsSaturday, May 31, 2025: 0 viewsSunday, June 1, 2025: 0 viewsMonday, June 2, 2025: 0 viewsTuesday, June 3, 2025: 0 viewsWednesday, June 4, 2025: 0 viewsThursday, June 5, 2025: 0 viewsFriday, June 6, 2025: 0 viewsSaturday, June 7, 2025: 0 viewsSunday, June 8, 2025: 0 viewsMonday, June 9, 2025: 0 viewsTuesday, June 10, 2025: 0 viewsWednesday, June 11, 2025: 0 viewsThursday, June 12, 2025: 0 viewsFriday, June 13, 2025: 0 viewsSaturday, June 14, 2025: 0 viewsSunday, June 15, 2025: 0 viewsMonday, June 16, 2025: 0 viewsTuesday, June 17, 2025: 0 viewsWednesday, June 18, 2025: 0 viewsThursday, June 19, 2025: 0 viewsFriday, June 20, 2025: 1 viewSaturday, June 21, 2025: 0 viewsSunday, June 22, 2025: 0 viewsMonday, June 23, 2025: 0 viewsTuesday, June 24, 2025: 0 viewsWednesday, June 25, 2025: 0 viewsThursday, June 26, 2025: 0 viewsFriday, June 27, 2025: 0 viewsSaturday, June 28, 2025: 0 viewsSunday, June 29, 2025: 0 viewsMonday, June 30, 2025: 0 viewsTuesday, July 1, 2025: 0 viewsWednesday, July 2, 2025: 0 viewsThursday, July 3, 2025: 0 viewsFriday, July 4, 2025: 0 viewsSaturday, July 5, 2025: 0 viewsSunday, July 6, 2025: 0 viewsMonday, July 7, 2025: 0 viewsTuesday, July 8, 2025: 0 viewsWednesday, July 9, 2025: 0 viewsThursday, July 10, 2025: 0 viewsFriday, July 11, 2025: 0 viewsSaturday, July 12, 2025: 0 viewsSunday, July 13, 2025: 0 viewsMonday, July 14, 2025: 0 viewsTuesday, July 15, 2025: 0 viewsWednesday, July 16, 2025: 0 viewsThursday, July 17, 2025: 0 viewsFriday, July 18, 2025: 0 viewsSaturday, July 19, 2025: 0 viewsSunday, July 20, 2025: 0 viewsMonday, July 21, 2025: 0 viewsTuesday, July 22, 2025: 0 viewsWednesday, July 23, 2025: 0 viewsThursday, July 24, 2025: 0 viewsFriday, July 25, 2025: 0 viewsSaturday, July 26, 2025: 0 viewsSunday, July 27, 2025: 0 viewsMonday, July 28, 2025: 0 viewsTuesday, July 29, 2025: 0 viewsWednesday, July 30, 2025: 0 viewsThursday, July 31, 2025: 0 viewsFriday, August 1, 2025: 0 viewsSaturday, August 2, 2025: 0 viewsSunday, August 3, 2025: 0 viewsMonday, August 4, 2025: 0 viewsTuesday, August 5, 2025: 0 viewsWednesday, August 6, 2025: 0 viewsThursday, August 7, 2025: 0 viewsFriday, August 8, 2025: 0 viewsSaturday, August 9, 2025: 0 viewsSunday, August 10, 2025: 0 viewsMonday, August 11, 2025: 0 viewsTuesday, August 12, 2025: 0 viewsWednesday, August 13, 2025: 0 viewsThursday, August 14, 2025: 0 viewsFriday, August 15, 2025: 0 viewsSaturday, August 16, 2025: 0 viewsSunday, August 17, 2025: 0 viewsMonday, August 18, 2025: 0 viewsTuesday, August 19, 2025: 0 viewsWednesday, August 20, 2025: 0 viewsThursday, August 21, 2025: 0 viewsFriday, August 22, 2025: 0 viewsSaturday, August 23, 2025: 0 viewsSunday, August 24, 2025: 0 viewsMonday, August 25, 2025: 0 viewsTuesday, August 26, 2025: 0 views
19 views in last 90 days
Last edited Mar 02, 2025
Created on Mar 02, 2025

US Airline Accidents Visualization

This project displays an interactive visualization of airline accidents in the United States from 2010-2023 using D3.js. The visualization includes geographic distribution, timeline analysis, and contributing factor breakdowns.

Features

  • Interactive map showing the locations of airline accidents across the US
  • Timeline visualization showing accident frequency and severity over time
  • Bar chart breaking down accidents by contributing factor
  • Filter options to explore data by year range, severity, and airline type
  • Key statistics summary
  • Responsive design that works across different screen sizes

Data Source

The visualization uses sample data modeled after information from the National Transportation Safety Board (NTSB) Aviation Accident Database. In a production environment, this would be replaced with actual data from the NTSB or similar aviation safety organizations.

Technologies Used

Getting Started

  1. Clone the repository
  2. Open index.html in your web browser, or set up a local server
  3. Interact with the visualizations to explore airline accident data

Insights from the Visualization

  • Geographic clusters of accidents in major air travel hubs
  • Timeline patterns showing seasonal trends in accident rates
  • Breakdown of contributing factors showing the primary causes of accidents
  • Differences between fatal and non-fatal accident distributions

Future Enhancements

  • Integration with live NTSB data API
  • Additional visualization types (aircraft type breakdown, airline comparison)
  • More detailed filtering options
  • Predictive analytics for accident risk factors
MIT Licensed