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AhmmedIbrahim/Water-Service-Analysis-Dashboard

Domaine:

environment and energy

Type de record:

project
Créateur:
Ahm
HĂ´te:
Analysis of access to clean water in Africa comparing urban and rural areas using Power BI. # 💧 Water Infrastructure & Quality Analysis Dashboard **A data-driven analysis of water accessibility, quality, and infrastructure to support better resource allocation and community planning.** --- ## 🚨 Problem Statement Access to clean and reliable water remains a major challenge in many regions. Long waiting times, high contamination rates, and inefficient infrastructure planning negatively impact communities. This project analyzes water service data to uncover key issues and provide **data-driven recommendations** to improve water accessibility, quality, and resource allocation. --- ## 🎯 Project Objectives - 🌍 Analyze water accessibility across **urban vs rural** areas - 🔍 Identify **dominant water sources** - 🧪 Evaluate **water quality** (clean vs contaminated) - ⏱️ Analyze **waiting times** for water access - 💡 Provide **actionable recommendations** - 💰 Support better **budget allocation** --- ## 📂 Dataset Description | Field | Description | |-------|-------------| | Province / Town | Geographic location | | Population Served | Number of people per source | | Water Source Type | Well, river, shared tap, home tap | | Waiting Time | Minutes to access water | | Water Quality | Clean / Contaminated | | Suggested Improvements | Recommended interventions | | Budget & Cost Data | Financial planning figures | --- ## 🛠️ Tools & Technologies | Tool | Purpose | |------|---------| | **Power BI** | Interactive dashboards & visualizations | | **Power Query** | Data cleaning & transformation | | **Excel / CSV** | Raw data storage & preprocessing | --- ## 🔍 Key Insights > ⚠️ **Critical findings from the analysis:** | Metric | Finding | |--------|---------| | 👥 Rural Dependency | **60%+** of the population relies on rural water services | | 🦠 Contamination Rate | **70%+** of water sources are contaminated | | ⏳ Peak Waiting Time | Exceeds **240 minutes** during peak hours | | 🪣 Common Sources | Wells and shared taps are the most prevalent | --- ## 💡 …