This interactive visualization displays airline delay data from 2003 to 2016, allowing users to explore trends in three types of delays:
The visualization uses D3.js v7 for data binding, scales, and transitions. The code is organized into modular components:
index.html
: Main structure and UI elementsstyles.css
: Styling for the visualizationconfig.js
: Configuration settingsdataService.js
: Data loading and processingchartUtils.js
: D3 chart utilitiesmain.js
: Main application logicThe data is sourced from a CSV file containing monthly airline delay statistics from June 2003 to July 2016. Each record includes counts for different types of delays.
The visualization reveals several interesting patterns:
Future enhancements could include additional delay categories, weather correlation data, and airline-specific filtering.