Sub-Saharan Africa: Food Security, Poverty & Growth Dashboard
# Sub-Saharan Africa: Food Security, Poverty & Growth Dashboard
An interactive Excel dashboard exploring the relationship between economic growth, food security, and poverty across Sub-Saharan African countries (2000–2024), built to demonstrate data cleaning, data modeling, and dashboard design skills in Excel.
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## 📌 Project Overview
This project combines three publicly available datasets — **FAOSTAT** food security indicators and **World Bank World Development Indicators (WDI)**, and ** World Bank Poverty and Inequality** indicators — into a single, clean, analysis-ready dataset for Sub-Saharan African countries. The result is an interactive Excel dashboard that lets a user select a country via a slicer and compare GDP, food security, and poverty trends over time.
The project was built to showcase practical Excel skills relevant to data analyst roles: data cleaning, merging multi-source data, Pivot Tables, Power Query and dashboard/report design.
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## 🎯 Objectives
- Combine three real-world, publicly available datasets
- Build pivot tables to summarize and explore the merged data
- Design an interactive dashboard with country slicers to compare development and food security trends over time
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## 🗂️ Data Sources
| Source | Content | Link |
|---|---|---|
| FAOSTAT | Suite of Food Security Indicators |
fao.org |
| World Bank WDI | GDP (constant 2015 US$) | databank.worldbank.org |
| World Bank Poverty and Inequality | poverty headcount ratio, poverty gap, poverty severity, and GINI index | pip.worldbank.org |
**Scope:** Sub-Saharan African countries, 2000–2024
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## 🧹 Data Cleaning Process
Raw data from all three sources required cleaning before they could be merged and analyzed. Key steps included:
- Standardizing country names to enable joining across sources
- Reshaping data between wide and long formats
- Handling missing values and inconsistent year coverage
- Removing duplicate records
- Converting the cleaned dataset into a str …