🌍 International Debt Statistics Analysis — SQL Project

This project explores global debt statistics using SQL. The analysis is based on the International Debt dataset and focuses on extracting key insights about country-level debts, debt indicators, and financial trends.

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🎯 Project Objectives

• Analyze total and average debt of countries
• Identify key debt indicators and their frequency
• Find countries with the highest debt and their debt categories
• Explore long-term debt trends across nations

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🛠 SQL Techniques Used

• GROUP BY, ORDER BY, HAVING
• Aggregations (SUM, AVG, COUNT, MAX)
• DISTINCT, Filtering, Limiting Results
• Well-commented queries with insights

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📊 Key Insights

• 🇨🇳 China holds the highest total debt among all countries
• 📈 Long-term debt repayments are the most significant debt indicator globally
• 🌐 Six common debt indicators are shared by all countries analyzed

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📁 Project Files

• International_Debt_Analysis.sql — Complete SQL script with all queries and comments

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