dunchez/maji-ndogo

# Project README: Maji Ndogo Water Restoration Initiative ## Project Overview The Maji Ndogo project is a comprehensive, data-driven mission to resolve a national water crisis. By analyzing a massive database of 60,000 records—collected by engineers, scientists, and field workers—this project identifies critical gaps in water accessibility and quality. The ultimate goal is to move from raw data exploration to actionable engineering solutions that provide clean, reliable water to every citizen. ## Problem Statement Maji Ndogo faces a multi-faceted water challenge. Many citizens rely on contaminated wells or distant rivers, while those with access to shared taps often face wait times that far exceed international standards. Furthermore, infrastructure decay and a lack of centralized tracking have historically hindered repair efforts. This project was launched to uncover the ground truth and create a transparent, efficient roadmap for recovery. ## Technical Framework The project is built upon a robust MySQL database designed to manage complex relationships between locations, water sources, and community needs. Key components of the data architecture include: * **Water Source Management**: Categorization of all functional and non-functional sources, including home taps, shared taps, wells, and rivers. * **Pollution Tracking**: Detailed logs of biological and chemical contaminants used to prioritize high-risk areas. * **Logistics & Usage**: Analysis of visitation patterns and queue times to identify where the current infrastructure is failing to meet demand. * **Geographic Mapping**: Linking water sources to specific provinces and towns to ensure equitable resource distribution. ## Project Phases ### 1. Data Exploration & Standardization The initial phase involves deep-diving into the database to understand the foundational tables. Analysts standardize the data, identify unique source types, and begin the process of "listening to the story" told by the records. This …