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ake369/health-data-dashboard

Domaine:

healthcare

Type de record:

software
Créateur:
ake
Hôte:
A comprehensive full-stack health data engineering platform integrating multiple data sources for Ethiopian public health analytics # 🏥 Ethiopia Health Data Analytics Dashboard A comprehensive full-stack health data engineering platform integrating multiple data sources for Ethiopian public health analytics. --- ## 📊 Dashboard Preview 🎯 **Interactive Health Data Visualization** _Actual dashboard showing multi-source health data integration._ --- ## 🌟 Project Overview This is a **production-ready health data analytics platform** demonstrating advanced data engineering and visualization. It integrates **four data sources** and presents analytics for **6 key Ethiopian regions**, relevant to institutions such as **EPHI (Ethiopian Public Health Institute)**. --- ## 🎯 Key Features - 🔗 **Multi-Source Integration:** MySQL, Oracle, SQL Server & CSV - 📈 **Advanced Visualizations:** Line, Bar, Pie, and Scatter charts using Recharts - 🏥 **Regional Analytics:** Real data modeling for six Ethiopian regions - ⚡ **Real-Time Processing:** Dynamic aggregation and visualization - 🧱 **Scalable Architecture:** Flask API + React frontend --- ## 🗺️ Supported Ethiopian Regions (Synthetic data) | Region | Capital | Health Index | Vaccination | |----------------|----------------|---------------|--------------| | Addis Ababa | Addis Ababa | 65 | 78% | | Amhara | Bahir Dar | 56 | 65% | | Dire Dawa | Dire Dawa | 60 | 64% | | Oromia | Adama | 58 | 58% | | SNNPR | Hawassa | 65 | 52% | | Tigray | Mekelle | 62 | 61% | --- ## 🛠️ Technology Stack ### 🔹 Backend (Flask) Framework: Flask 2.3.3 (Python) * Database Connectors: - MySQL: mysql-connector-python - Oracle: cx_Oracle - SQL Server: pyodbc - CSV: pandas * API: RESTful JSON API * CORS: Flask-CORS enabled ### 🔹 Frontend (React + Recharts) - Framework: React 18.2.0 - Visualization: Recharts 2.8.0 - HTTP Client: Axios 1.5.0 - Styling: CSS3 with Gradient Design - Build Tool: Create React App ### 🔹 Data Sources - MySQL: Patient Demographics & Regional Data - Oracle: Disea …