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joo772/Water-Crisi-In-Africa

Domain:

environment and energy

Record type:

project
Creator:
joo
Host:
Analysis of the Maji Ndogo Water Access and Infrastructure Project using Power BI and MySQL. The project evaluates water access levels, tracks project completion, and analyzes budget allocation to improve water service delivery in underserved areas. # Maji Ndogo Water Access and Infrastructure Project Analysis **Prepared by:** [Yousef Emad Eldin] **Date:** [3/12/2024] --- ## Executive Summary This analysis evaluates the Maji Ndogo water access and infrastructure project, focusing on water accessibility levels, infrastructure improvements, and resource allocation. Using **Power BI** for data visualization and **MySQL** for data processing, we analyzed water access metrics, project completion rates, and geographical insights to support data-driven decision-making for improving water service delivery in underserved areas. --- ## Project Objectives and Scope The project aims to: 1. **Evaluate Water Accessibility**: Assess the percentage of people with access to basic water services. 2. **Track Project Completion**: Analyze the status and completion rate of water infrastructure projects. 3. **Determine Budget Allocation**: Monitor costs by province and improvement type to ensure efficient fund distribution. 4. **Optimize Service Delivery**: Use geographical insights to improve infrastructure in underserved areas. Data spans several years, emphasizing seasonal water demand patterns and infrastructure needs across regions. --- ## Data Sources and Preparation ### Data Sources: - **Project Progress Database**: Records on project completion, town names, and improvement types. - **Infrastructure Cost Database**: Costs associated with infrastructure improvements by category and province. - **Demographic and Geographical Data**: Population served, province details, and distance data. ### Data Preparation Steps: - **Standardizing Locations and Categories**: Merged inconsistent names for towns and improvement types. - **Data Cleaning**: Removed duplicates and filtered out incomplete or canceled projects. - **Budget Allocation Calculations**: Used **MySQL** to determine regional budget needs and categorize improvement types based on adjusted costs. - **MySQL for Efficiency**: Migrated datasets to **MySQL** for rea …

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