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Arwa-Esam/maji-ndogo-water-dashboard

Domain:

environment and energysocioeconomic

Record type:

tools
Creator:
Arw
Host:
A Power BI project analyzing water access conditions in Maji Ndogo. Includes data cleaning, DAX measures, GeoJSON maps, rural vs urban comparisons, budget allocation insights, and recommendations to improve national water access. # **Maji Ndogo – Water Access Dashboard (Power BI Project)** This repository contains a Power BI dashboard analyzing water access conditions across the fictional country **Maji Ndogo**. The project focuses on **data storytelling**, **DAX modeling**, **GeoJSON mapping**, and translating survey data into clear insights. --- ## **📌 Project Overview** This dashboard answers key questions: - **How many people have basic access to clean water?** - **Which provinces require the highest number of upgrades?** - **What is the estimated improvement budget (~$146M)?** - **How do rural vs. urban populations differ in water access?** - **What are the most common water sources across locations?** --- ## **📊 Key Insights** ### **1️⃣ Basic Water Access** - Only **34%** of the population has basic access. - That means **66%** (≈18 million people) still face water challenges. --- ### **2️⃣ Budget Requirements** - Total improvement budget needed: **$146M+** - Highest needs: - **Sokoto → ~$40M** - **Kilimani → ~$39M** - Lowest: - **Amanzi → ~$13M** --- ### **3️⃣ Required Upgrades** - **Kilimani → 6700 upgrades** - **Sokoto → 5603 upgrades** - **Amanzi → 3748 upgrades** (lowest) --- ### **4️⃣ Rural vs Urban** - **Rural areas:** rely heavily on shared taps and wells. - **Urban areas:** more use of in-home taps. --- ### **5️⃣ Province Comparison** - **Lowest access:** Kilimani (28%) - **Highest access:** Amanzi (41%) - **National average:** 34% --- ## **💡 Recommendations** 1. **Prioritize investment** in high-need provinces (Kilimani & Sokoto). 2. **Improve rural infrastructure** — shared taps, wells, monitoring systems. 3. **Repair critical infrastructure** — broken taps, RO filters, contaminated wells. --- ## **🛠 Tools & Skills Used** - **Power BI Desktop** - **DAX:** - **GeoJSON Map Integration** - **Data Storytelling & Visualization Design** --- ## **📂 Repository Structure** ## 🔎 Akatsi Region – Detailed Analysis As part of the Maji Ndogo water access projec …

Visit

github.com

Languages

DizinFulfulde, NigerianHausaNdogo

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