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Analyze International Debt Statistics

Write SQL queries to answer interesting questions about international debt using data from The World Bank.

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  • 9 tasks
  • 5,425 participants
  • 1,500 XP

Project Description

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, you are going to analyze international debt data collected by The World Bank. The dataset contains information about the amount of debt (in USD) owed by developing countries across several categories. You are going to find the answers to questions like:

  • What is the total amount of debt that is owed by the countries listed in the dataset?
  • Which country owns the maximum amount of debt and what does that amount look like?
  • What is the average amount of debt owed by countries across different debt indicators?

The data used in this project is provided by The World Bank. It contains both national and regional debt statistics for several countries across the globe as recorded from 1970 to 2015.

Project Tasks

  • 1The World Bank's international debt data
  • 2Finding the number of distinct countries
  • 3Finding out the distinct debt indicators
  • 4Totaling the amount of debt owed by the countries
  • 5Country with the highest debt
  • 6Average amount of debt across indicators
  • 7The highest amount of principal repayments
  • 8The most common debt indicator
  • 9Other viable debt issues and conclusion
Sayak Paul

Deep Learning Associate at PyImageSearch

Sayak is currently a Deep Learning Associate at PyImageSearch. His subject of interest lies in the area of self-supervised visual representation learning. He enjoys applying deep learning to solve real-world problems. Off the work Sayak likes to blog about different topics in machine learning and speak at developer meetups. Check out his site to find out more about him and how to contact him.

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  • SQL LogoSQL
  • Topics

    Data ManipulationImporting & Cleaning Data