ruw-analysis-dashboard

Overview

Russian-Ukrainian War analysis dashboard for tracking conflict developments and narratives

This application provides comprehensive tools for data analysis, visualization, and insights generation in its specific domain.

Key Features

• Database operations
• Data analysis (Pandas)

What Users Can Do

1. Browse and Search: Navigate through available data using intuitive search functionality
2. Filter and Sort: Apply multiple filters to find specific information
3. Visualize Data: View data through interactive charts and graphs
4. Export Results: Download filtered data for further analysis
5. Real-time Updates: Access the latest information as it becomes available

Data Sources

• News articles
• Military reports
• Social media
• Official statements

Technology Stack

• Backend: Flask (Python web framework) with Pandas for data analysis
• Frontend: HTML/CSS/JavaScript
• Database: SQL database via SQLAlchemy
• Deployment: Originally on Heroku, now available for various platforms

Installation

Prerequisites

• Python 3.8 or higher
• pip package manager

Quick Start

1. Clone the repository:

   git clone https://github.com/hcss-utils/ruw-analysis-dashboard.git
   cd ruw-analysis-dashboard

2. Install dependencies:

   pip install -r requirements.txt

3. Configure environment:

   cp .env.example .env
   # Edit .env with your configuration

4. Run the application:

   python app.py

5. Access the dashboard: Open http://localhost:5000 in your browser

Usage Guide

Getting Started

1. Login/Access: Navigate to the main page to access the dashboard
2. Select Data View: Choose from available tabs or sections
3. Apply Filters: Use the filter panel to narrow down your analysis
4. Interact with Visualizations: Click, hover, and zoom on charts for detailed information
5. Export Data: Use the export button to download your filtered results

Advanced Features

• Custom Date Ranges: Select specific time periods for analysis
• Multi-criteria Search: Combine multiple search parameters
• Saved Queries: Save frequently used filter combinations
• Responsive Design: Access on desktop, tablet, or mobile devices

API Documentation

If this application includes an API, common endpoints include:

• GET /api/data - Retrieve filtered data
• GET /api/stats - Get statistical summaries
• POST /api/search - Advanced search functionality
• GET /api/export - Export data in various formats

Contributing

We welcome contributions! Please see our contributing guidelines:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/AmazingFeature)
3. Commit changes (git commit -m 'Add some AmazingFeature')
4. Push to branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

For questions or issues:

• Open an issue on GitHub
• Contact the HCSS team

Acknowledgments

This application is part of HCSS's StratBase research protocol, a comprehensive framework for strategic analysis and decision-making.

Originally developed for the Hague Centre for Strategic Studies (HCSS) to support strategic analysis and decision-making.

Last updated: hcss-utils