🌍 Iraq Primary School Enrollment Analysis (1970–2007)

📌 Overview
This project explores Iraq’s primary school gross enrollment ratio between 1970–2007.
It uses Python (Pandas/Matplotlib) and Jupyter Notebook to analyze historical enrollment trends and resilience before and after major disruptions.

The goal is to deliver clear, portfolio-ready insights into Iraq’s education trends over nearly four decades.

📊 Data Source

• 🌍 World Bank – Gross enrollment ratio, primary, both sexes (%)
• 📂 Dataset: IRQ_SE.PRM.ENRR.zip

✨ Key Features

• 📈 Long-term enrollment trend analysis (1970–2007)
• 🔄 Year-over-Year (YoY) change detection
• 📊 Decade-level averages & volatility checks
• 🛡 Resilience metrics for post-crisis recovery
• 🎯 Bonus insights (pre/post 1990, CAGR, peak/drop analysis)

🛠 Tools & Technologies

• 🐍 Python (Pandas, Matplotlib) – Data analysis & visualization
• 📓 Jupyter Notebook – Core workflow & documentation
• 📄 HTML & PDF exports – Portfolio-ready results

📂 Repository Contents

• IRQ_SE.PRM.ENRR.zip → Original dataset (World Bank)
• Iraq_Primary_Enrollment.ipynb → Full notebook (core + bonus insights)
• Iraq_Primary_Enrollment.html → Interactive HTML export
• Iraq_Primary_Enrollment.pdf → Polished PDF report
• results/ → Core 9 insights (CSVs + charts)
• bonus_insights/ → Extra 5 insights (CSVs + charts)
• MANIFEST.csv → File-to-description map
• README.txt → Plain-text summary

🚀 How to Use

1. Open Iraq_Primary_Enrollment.ipynb in Jupyter Notebook.
2. Run all cells to reproduce the analysis and visuals.
3. Review results in either:
   • 📓 Notebook (.ipynb)
   • 🌐 HTML (.html)
   • 📄 PDF (.pdf)

👤 Author
Ibrahim Alsaegh
🔗 LinkedIn | 💻 GitHub