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aymane2027/maji-ndogo-sql-data-investigation

Domain:

environment and energy
Creator:
aym
Host:
SQL-based investigation of national water access, quality, and infrastructure, transforming data analysis into actionable decisions. # Maji Ndogo β€” SQL Data Investigation & Decision-Driven Analysis ## πŸ“Œ Project Overview This project presents a comprehensive SQL-based analysis of national water access, quality, and infrastructure challenges in **Maji Ndogo**. The objective is not only to explore data, but to: - Ensure data integrity - Identify access bottlenecks - Detect inconsistencies through audit comparison - Translate analysis into actionable repair priorities The project follows a structured, multi-phase analytical approach, moving from exploration to investigation and finally to decision-making. --- ## 🧠 Key Questions Addressed - Where are the most severe water access challenges? - Which water sources affect the largest populations? - How do queue times reflect infrastructure pressure? - Are recorded water quality scores reliable? - Do audit findings align with internal survey data? - How should limited resources be prioritized for maximum impact? --- ## πŸ—‚οΈ Project Structure ```text data/ β†’ Raw data, audit reports, SQL schema notebooks/ β†’ Step-by-step SQL analysis (Part 1–4) slides/ β†’ Original project reference materials ``` --- ## πŸ” Analysis Breakdown ### **Part 1 β€” Data Exploration & Quality Checks** * Database structure understanding * Water source classification * Visit patterns and queue analysis * Pollution data correction ### **Part 2 β€” Analytical Prioritization** * Employee contribution analysis * Geographic coverage assessment * Population impact by source type * Infrastructure bottleneck identification ### **Part 3 β€” Data Investigation & Audit Comparison** * ERD construction * Integration of independent auditor reports * Linking records to responsible entities * Evidence-based discrepancy detection ### **Part 4 β€” Final Analysis & Action Plan** * Cross-table aggregation * Identification of high-risk, high-impact sources * Executive-level summary * Practical, phased repair strategy --- ## πŸ› οΈ Tools & Technologies * **SQL (MySQL)** * **Jupyter Note …

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