mayas-spec/Maji_Ndogo_Analysis

This project focuses on analyzing water resource data from Maji Ndogo to address critical issues like water quality, accessibility, and pollution. Using SQL, I explored over 60,000 records to derive actionable insights and support data-driven decision-making. # Maji Ndogo Analysis 🌊 **Unveiling Insights from Water Resource Data** This project explores critical water resource challenges in **Maji Ndogo**, focusing on water quality, accessibility, and pollution. By analyzing over 60,000 records using **SQL** and creating compelling visuals in **Power BI**, I derived actionable insights to support data-driven decision-making and governance. --- ## 🔧 Tools Used - **SQL**: Querying, data cleaning, and transformation. - **Power BI**: Interactive data visualization and storytelling. --- ## 🎯 Key Objectives 1. Understand water source distribution and quality. 2. Identify pollution trends and high-risk areas. 3. Analyze visitation patterns to water sources. --- ## 🛠️ Approach ### 1. **Data Exploration** - Wrote SQL `SELECT` queries to understand the structure and key metrics of the dataset. - Investigated relationships between tables using joins and keys to create a cohesive view of the data. ### 2. **Data Cleaning** - Resolved inconsistencies in employee and location datasets. - Standardized email formats and removed unnecessary characters from phone numbers for a cleaner dataset. ### 3. **Data Analysis** - Clustered water source data to identify trends and usage patterns. - Highlighted areas frequently affected by pollution to aid targeted interventions. ### 4. **Data Visualization** - Created interactive Power BI dashboards to visualize insights, enabling stakeholders to drill down into critical metrics like: - Rural vs. Urban water access distribution. - Peak usage times and gender dynamics in water collection. - Areas requiring urgent infrastructure upgrades. --- ## 🌟 Key Insights - Rural areas show significantly lower access to clean water compared to urban centers. - Pollution hotspots are concentrated in specific regions, requiring immediate attention. - Queues for water collection peak in the mornings and evenings, with weekends seeing the longest wait times. --- ## 🚀 Why This Matters Water is life, and ef …