yohanan408/Solving-the-water-crisis

Data-driven recovery roadmap using SQL to provide clean water access and solve the humanitarian water crisis in Maji Ndogo. \# Maji Ndogo Water Crisis: Data-Driven Recovery \## Project Overview Maji Ndogo is facing a severe water crisis. This project involves a deep-dive analysis of a massive database containing \*\*60,000 records\*\* collected by field workers, engineers, and scientists. The goal is to transform this raw data into actionable insights to guide the government's recovery efforts and ensure clean water access for all citizens. \## Objectives \* \*\*Data Audit:\*\* Clean and verify the integrity of thousands of field survey records. \* \*\*Infrastructure Analysis:\*\* Identify and categorize water sources (wells, taps, rivers) across the region. \* \*\*Quality Assessment:\*\* Analyze subjective quality scores to prioritize high-risk areas. \* \*\*Pollution Tracking:\*\* Investigate biological and chemical contaminants in the water supply. \* \*\*Optimization:\*\* Identify over-utilized water points to suggest infrastructure improvements. \## Database Schema The analysis utilizes a relational database with key tables including: \* \*\*water\_source\*\*: Types and locations of water points. \* \*\*well\_pollution\*\*: Detailed biological and chemical test results. \* \*\*visits\*\*: Logs of field visits and queue times. \* \*\*water\_quality\*\*: Quality ratings assigned by field engineers. \## Analysis Roadmap 1\. \*\*Phase 1: Database Reconnaissance\*\* – Initial exploration of table structures and data types. 2\. \*\*Phase 3: Source Cataloging\*\* – Extracting unique water source types and distribution. 3\. \*\*Phase 3: Quality \& Pollution Filtering\*\* – Identifying "Dirty" or "Biological" contamination sites. 4\. \*\*Phase 4: Site Prioritization\*\* – Using SQL queries to rank locations based on visit frequency and pollution levels. \## Tech Stack \* \*\*SQL:\*\* Primary language for data extraction and analysis. \* \*\*Database:\*\* MySQL \*(or whatever DB you used)\* \* \*\*Context:\*\* Data Science / S …