Military Equipment Losses Analysis
A complete ETL pipeline with scraping, processing, and visualization.
Python
R
Quarto
Docker
Plotly
BeautifulSoup
View
Project Overview
This project tracks and analyzes military equipment losses using automated scraping, robust data pipelines, and interactive dashboards, with a workflow configured for daily updates.
Development Process
1
Data Collection
Python scraper extracts data from authoritative sources.
2
Data Processing
Clean and transform raw data into structured format.
3
Visualization
Generate interactive charts and tables with Plotly.
4
Deployment
Dockerized pipeline runs daily to refresh dashboard.
Dashboard Features
Time Series
Interactive plots of cumulative losses over time.
Daily Increments
Visualize daily changes with heatmaps and bar charts.
Comparisons
Compare equipment types with pie and bar charts.
Correlation
Explore relationships between equipment categories.
Future Enhancements
- Geospatial: Map-based visualizations of losses.
- Advanced Stats: Adding additional visualization and statistics.