Salrahim21/Uganda-WWTP-Clustering-Visualization-Dashboard

An interactive dashboard that maps and clusters Uganda’s wastewater treatment plants using KMeans. Built with Dash and Plotly, it features filters by cluster and treatment type, a capacity bar chart, and a correlation heatmap to support data-driven planning and infrastructure analysis. # 🚰 Uganda Wastewater Treatment Plant Clustering Dashboard 🌍 This project visualizes and analyzes **Wastewater Treatment Plants (WWTPs)** across **Uganda** using geospatial clustering, treatment type analysis, and capacity insights. Built with **Dash**, **Plotly**, and **scikit-learn**, the app allows interactive exploration of Uganda’s wastewater infrastructure. --- ## 💡 Project Overview Wastewater treatment is crucial for public health and environmental sustainability. This dashboard aims to: - 🗺️ Visualize spatial clusters of WWTPs - 🧪 Analyze treatment types and their total capacities - 📊 Examine the correlation between treatment types and capacity - 🎯 Aid stakeholders like NGOs and governments in better planning and resource allocation --- ## 🚀 Live Demo 👉 Launch Dashboard *(You can deploy it using Render, Heroku, or Dash Enterprise)* --- ## ⚙️ Tech Stack - 🐍 Python (Pandas, NumPy, scikit-learn) - 📊 Dash & Plotly - 🌐 HTML/CSS with Dash Components - 📍 KMeans Clustering for geographic grouping --- ## 📦 Installation ```bash # Clone the repo git clone github.com cd uganda-wwtp-dashboard # Install dependencies pip install -r requirements.txt # Run the Dash app python app.py