🌐 Aid Flow Visualization Project

A comprehensive D3.js-based interactive data visualization platform analyzing global aid flows from the AidData dataset. Explore funding relationships, aid purposes, and temporal trends across 40 years of international development assistance.

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📊 Dashboard Overview

The project features a single unified dashboard (index.html) combining four complementary views into one cohesive interface:

Main Components (All in index.html)

1. Aid Flow Network

• Purpose: Sankey-style network showing flows from top 20 donors to top 10 recipients
• Features:
  • Left/right ranked lists of donors and recipients
  • Link width and color gradient encode total commitment amounts
  • Interactive click filtering to highlight connections
  • Detail bar chart for top partnerships
  • Hover tooltips with transaction details

2. Aid Purpose Breakdown

• Purpose: Purpose-centric analysis across five major aid categories
• Features:
  • Gradient-colored links showing purpose composition
  • Dual pie charts: pair-level and country-level analysis
  • Interactive selection to explore purpose distributions
  • Purpose legend identifying education, health, infrastructure, etc.
  • Dropdown menus for quick country pair selection

3. Timeline Explorer

• Purpose: Time-series analysis of aid flows (1973–2013)
• Features:
  • Stacked or 100% area chart showing flows over time
  • Brush selection to zoom into specific time ranges
  • Heatmap strip chart (years × countries) for activity visualization
  • Pie chart showing composition at selected year
  • Toggle between Donor/Recipient perspective
  • Year-locking to persist selections while exploring
  • Ranked side panel with top 20 donors or 10 recipients

4. Unified Dashboard Layout

• Top Left: Purpose breakdown donut chart
• Top Right: Main aid flow network
• Bottom: Timeline with area chart and strip chart
• Benefit: Explore all dimensions simultaneously and see correlations between network structure, purpose allocation, and temporal trends

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🛠️ Tech Stack

Technology	Purpose
D3.js v7	Data binding, scales, axes, SVG rendering, interactive transitions
HTML5 & CSS3	Semantic markup, responsive flexbox layouts, modern styling
JavaScript (ES6+)	Data aggregation (rollups), state management, event handling
CSV Data	8.4 MB dataset with donor, recipient, year, amount, and purpose columns

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📂 Project Structure

DataVis-final/
├── index.html                       # 🎯 Main dashboard (unified entry point)
├── aid-flow-visualization.js        # Network visualization module
├── aid-purpose-breakdown.js         # Purpose breakdown module
├── aid-timeline-explorer.js         # Timeline explorer module
├── aiddata-countries-only.csv       # Dataset (8.4 MB)
└── README.md                        # Project documentation

Single Entry Point: Only index.html - opens the unified dashboard with all four visualizations (network flow, purpose breakdown, timeline explorer, and combined dashboard) fully integrated into one cohesive interface.

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🚀 Getting Started

Prerequisites

• Web Browser (Chrome, Firefox, Safari, Edge — any modern browser)
• Python 3 or Node.js (for local HTTP server)
• Internet Connection (first load to fetch D3.js from CDN)

Installation & Running

Option 1: Python (Recommended)

cd /path/to/DataVis-final
python3 -m http.server 8000
# Open http://localhost:8000 in your browser

Option 2: Node.js

cd /path/to/DataVis-final
npx http-server
# Follow the printed local address (e.g., http://localhost:8080)

Option 3: VS Code Live Server

1. Install the Live Server extension in VS Code
2. Right-click index.html or vis1.html
3. Select "Open with Live Server"

Accessing the Dashboard

• Unified Dashboard: http://localhost:8000/index.html
• Direct URL (automatic): http://localhost:8000/ (automatically loads index.html)

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💡 Dashboard Interaction Guide

All features are available in the single index.html dashboard:

Network View (Top Right)

1. Explore: Hover over links and nodes to see tooltip details
2. Focus: Click any country node to highlight its partnerships
3. Reset: Click blank area or the same node again to reset
4. Details: Use the bar chart below to see top partners

Purpose Breakdown (Top Left)

1. Select Pair: Click on a network link (top right)
2. View Pie: Pie chart shows purpose composition for that donor-recipient pair
3. Country Mode: Click a country node or use dropdown to select
4. Toggle View: Switch between Donor and Recipient perspective

Timeline (Bottom)

1. Browse: Hover over the strip chart to see values at each year
2. Zoom: Drag on the strip chart to brush-select a time range; main chart zooms
3. Lock Year: Click axis label to lock a year; pie updates but you can still browse
4. Select Entity: Click side list to focus on specific donor or recipient
5. Toggle Scale: Switch between absolute (stacked) and 100% (normalized) views
6. Normalize: Checkbox to show percentage shares instead of absolute amounts

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📊 Dataset Details

Source: AidData
File: aiddata-countries-only.csv (8.4 MB)

Data Schema

Column	Description
donor	Country or organization providing aid
recipient	Country receiving aid
commitment_amount_usd_constant	Funding amount in USD (constant value)
year	Year of commitment (1973–2013)
coalesced_purpose_name	Primary aid category/purpose

Data Characteristics

• Time Range: 1973–2013 (41 years)
• Top Donors: 20 countries by total amount
• Top Recipients: 10 countries by total amount
• Top Purposes: 5 categories (e.g., Education, Health, Infrastructure)
• Records: Millions of individual aid records aggregated by donor-recipient-year-purpose

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🔧 Development & Customization

Modifying Visualizations

Each visualization is self-contained in its own JavaScript file:

• Edit aid-flow-visualization.js to customize Visualization 1
• Edit aid-purpose-breakdown.js to customize Visualization 2
• Edit aid-timeline-explorer.js to customize Visualization 3

Key Configuration Constants

// Example from aid-flow-visualization.js
const MAIN_WIDTH = 1100;          // SVG width
const MAIN_HEIGHT = 620;          // SVG height
const BASE_OPACITY = 0.75;        // Default link opacity
const NODE_RADIUS = 7;            // Node circle radius

Adding New Data

1. Replace aiddata-countries-only.csv with your own CSV file
2. Ensure columns match the expected schema (donor, recipient, amount, year, purpose)
3. Refresh the browser; D3 automatically reloads and re-aggregates

Styling

CSS is embedded in each HTML file within <style> tags. Customize colors, fonts, and spacing there.

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🎯 Key Interactions & Behaviors

Hover States

• Links: Show tooltip with donor, recipient, amount
• Nodes: Highlight connected links
• Timeline: Show vertical focus line at mouse position

Click Actions

• Network nodes: Focus on that country's flows; update detail chart
• Timeline year labels: Lock/unlock that year view
• Pie charts: (Interactive but no click action in current version)

Keyboard

• No keyboard shortcuts currently implemented (future enhancement opportunity)

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📈 Performance Notes

• Data Size: 8.4 MB CSV loads in ~1–2 seconds
• Rendering: Top 20 donors × top 10 recipients = 200 max links; smooth 60 FPS
• Timeline: 40 years × 30 entities = 1,200 cells; efficient band scales
• Recommended: Chrome or Firefox for best performance; Safari slightly slower

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🐛 Troubleshooting

"CSV file not found"

• Ensure aiddata-countries-only.csv is in the same directory as HTML files
• Make sure you're accessing via HTTP (not file://)

Visualizations not loading

• Check browser console (F12 → Console tab) for error messages
• Ensure HTTP server is running: python3 -m http.server 8000
• Verify D3.js CDN is accessible (requires internet)

Charts look strange or misaligned

• Hard refresh browser (Cmd+Shift+R on Mac, Ctrl+Shift+R on Windows)
• Clear browser cache
• Test in a different browser

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📚 Code Quality & Standards

Code Standards (Feb 2026)

• ✅ Google JavaScript Style Guide compliance throughout
• ✅ 2-space indentation (consistent across all files)
• ✅ camelCase for variables and functions
• ✅ UPPER_CASE for constants
• ✅ English comments for clarity and team collaboration
• ✅ Descriptive file naming (e.g., aid-flow-visualization.js)
• ✅ Single unified entry point (index.html)
• ✅ Professional code organization ready for production

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🤝 Contributing

To contribute improvements:

1. Create a new branch: git checkout -b feature/your-feature
2. Make changes to the relevant files
3. Test in all three visualizations
4. Commit with clear messages: git commit -m "feat: add new feature"
5. Push and create a Pull Request

Code Style

• Follow Google JavaScript Style Guide
• Use 2-space indentation
• Add JSDoc comments for new functions
• Name variables in camelCase, constants in UPPER_CASE

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📜 License

This project is for educational and analytical purposes. The AidData dataset is provided under AidData's terms. Respect intellectual property and cite sources appropriately.

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👥 Authors & Attribution

Project: CSE 5544 Data Visualization
Data Source: AidData
D3.js: Mike Bostock et al.

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📞 Support & Questions

If you encounter issues:

1. Check the Troubleshooting section above
2. Review browser console for error messages (F12)
3. Consult the QUICK_START.md guide
4. Read JSDoc comments in the JavaScript files

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🎓 Learning Resources

• D3.js Documentation: https://d3js.org/
• AidData: https://www.aiddata.org/
• Google JavaScript Style Guide: https://google.github.io/styleguide/javascriptguide.html
• MDN Web Docs: https://developer.mozilla.org/

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🚀 Future Enhancements

• Keyboard navigation (arrow keys, Enter/Escape)
• Export functionality (PNG, SVG, CSV of filtered data)
• Mobile-responsive design
• Accessibility improvements (ARIA labels, screen reader support)
• Unit tests for data aggregation functions
• Dark mode toggle
• Additional visualizations (choropleth map, scatter plot)
• Search and filter UI

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Last Updated: February 2, 2026
Status: Production Ready ✅
Version: 2.0 (Refactored & Optimized)

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Start exploring! Open index.html in your browser (via HTTP server) and discover global aid patterns. 🌍