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Analyze International Debt Statistics - IDS using Python and Power BI
Project type
Python - Power Bi
Date
Jan 24
Power Bi Link
Project Tasks
The World Bank's international debt data
Finding the number of distinct countries
Finding out the distinct debt indicators
Totaling the amount of debt owed by the countries
Country with the highest debt
Average amount of debt across indicators
The highest amount of principal repayments
The most common debt indicator
India's debt issues and conclusion
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.
Finding 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 2030.
