Mennasaad454/Maji-Ndogo-Water-Access-Analysis

# Maji-Ndogo-Water-Access-Analysis ## 📘 Project Overview This project analyzes water service delivery and data integrity in Maji Ndogo, a fictional country, using SQL. It was completed in two phases: ### Phase 1: Service Evaluation Analyzed water source quality, community access, and employee performance. Leveraged SQL to clean and aggregate data, uncover bottlenecks, and generate actionable insights for infrastructure and operational improvements. ### Phase 2: Corruption Detection Cross-referenced internal records with an auditor’s report to detect inconsistencies. Used CTEs, subqueries, and views to: - Identify above-average data entry errors, - Flag potentially corrupt employees, - Link irregularities to specific surveyed locations. ## 🗂️ Data Sources The primary dataset used for this analysis is the "md_water_services" data, containing detailed information about each water source, employee performance and water quality and tools. "adult_report.csv" was also added to the table in the second phase to conduct deep analysis on data inconsistencies. ## ⚙️ Tools & Techniques SQL: Data cleaning, joins, filtering, CTEs, views, subqueries MySQL Server: Database management and querying ## 🧹 Data Preparation Removed null and invalid entries Split and reformatted misaligned columns Added calculated fields (e.g., email, population brackets) Merged auditor report into main dataset for Phase 2 analysis ## 🔍 Key Insights Based on the analysis, the following actions are recommended to improve water access and system integrity in Maji Ndogo: - River-dependent communities: Deploy water trucks as a short-term solution. Begin well drilling in these areas to establish long-term access to clean water. - Contaminated wells: Install appropriate filtration systems—UV filters for biological contaminants and reverse osmosis systems for chemical pollution. Further investigation is needed to identify pollution sources and prevent recurrence. - Shared taps (high demand): Use q …