ibagur/wash-5w

WASH 5W (Water, Sanitation, Hygiene - Who, What, Where, When, How Many) humanitarian data analysis project for Mozambique WASH cluster coordination and response monitoring # WASH 5W Data Analysis System > Humanitarian data analysis system for WASH Cluster Response Monitoring following the 5W framework (Who, What, Where, When, How Many). ## Overview This project implements a comprehensive 8-phase data analysis pipeline for WASH (Water, Sanitation, Hygiene) humanitarian response monitoring in Mozambique. It processes cluster coordination data, applies anti-double-counting methodologies, and generates professional visualizations for humanitarian reporting and decision-making. ### Key Features ✅ **Dual Reporting Streams**: National (Non-HNRP) and Cabo Delgado (HNRP) emergency response ✅ **Anti-Double-Counting**: Three-stage filtering with geographic deduplication ✅ **Professional Visualizations**: 38 publication-ready charts following WASH Cluster Style Guide ✅ **Geographic Analysis**: Choropleth maps and partner presence matrices ✅ **InDesign Integration**: Automated placeholder CSV generation for template workflows ✅ **Humanitarian Standards**: Compliant with cluster coordination and beneficiary counting best practices ### 5W Framework - **Who**: Implementing partners and target populations - **What**: Types of WASH activities/services (Water, Sanitation, Hygiene, Supplies) - **Where**: Geographic locations (Provincia → Distrito → Posto administrative levels) - **When**: Timeframes and project status (Completed, Ongoing, Planned) - **How Many**: Beneficiary numbers with anti-double-counting validation ## Project Structure ``` wash-5w/ ├── README.md # This file ├── CLAUDE.md # Detailed project documentation and AI assistant guide ├── WASH_5W_Methodology.md # Complete methodology with Mermaid diagrams ├── requirements.txt # Python dependencies (pip) ├── Pipfile / Pipfile.lock # Python dependencies (pipenv) ├── wash_5w_main.py # Main analysis script (8-phase pipeline) ├── wash_functions.py # Uti …