Project Description
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It's not that we humans only take debts to manage our necessities. A country may also take debt to manage its economy. For example, infrastructure spending is one costly ingredient required for a country's citizens to lead comfortable lives. The World Bank is the organization that provides debt to countries.
In this project I have analyzed the World Bank dataset by writing SQL queries to answer interesting questions about international debt. The dataset contains information about the amount of debt (in USD) owed by developing countries across several categories as recorded from 1970 to 2015. This analysis can be used to find the answers to questions like:
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What is the total amount of debt that is owed by the countries listed in the dataset?
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Which country owns the maximum amount of debt and what does that amount look like?
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What is the average amount of debt owed by countries across different debt indicators?
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Project Tasks
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1. The World Bank's international debt data
2. Finding the number of distinct countries
3. Finding out the distinct debt indicators
4. Totaling the amount of debt owed by the countries
5. Country with the highest debt
6. Average amount of debt across indicators
7. The highest amount of principal repayments
8. The most common debt indicator
9. Other viable debt issues and conclusion
Dataset
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This project draws on data from the World Bank (https://www.worldbank.org/en/home), Which contains data on both national and regional debt statistics for several countries around the world.
SQL Queries & Analysis
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In order to carry out the statistical analysis, I used SQL on a Jupter notebook, which you can check out on my GitHub page. Feel free to provide any feedback you may have.
Click the logo below to check out the full project!
