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Project: Analyze International Debt Statistics
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 notebook, we 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. We 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 owes 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?
Below is a basic schema of the database you will be working with:
debt_indicators table
debt_indicators table| Column | Definition | Data Type |
|---|---|---|
| country_name | Name of the country | varchar |
| country_code | Code representing the country | varchar |
| indicator_name | Description of the debt indicator | varchar |
| indicator_code | Code representing the debt indicator | varchar |
| debt | Value of the debt indicator for the given country (in current US dollars) | float |
You will execute SQL queries to answer six questions, as listed in the instructions.
DataFrameas
num_distinct_countries
variable
--num_distinct_countries
SELECT COUNT(DISTINCT country_name) AS total_distinct_countries FROM international_debt;DataFrameas
distinct_debt_indicators
variable
--distinct_debt_indicators
SELECT DISTINCT indicator_code AS distinct_debt_indicators FROM international_debt
ORDER BY distinct_debt_indicators ASC;DataFrameas
total_debt
variable
--total_debt
SELECT ROUND(SUM(debt)/1000000,2) AS total_debt FROM international_debt;DataFrameas
highest_debt_country
variable
--highest_debt_country
SELECT country_name, SUM(debt) AS total_debt FROM international_debt
GROUP BY country_name
ORDER BY total_debt DESC
LIMIT 1;DataFrameas
avg_debt_per_indicator
variable
--avg_debt_per_indicator
SELECT
indicator_code AS debt_indicator,
indicator_name,
AVG(debt) AS average_debt
FROM international_debt
GROUP BY debt_indicator, indicator_name
ORDER BY average_debt DESC
LIMIT 10;DataFrameas
highest_principal_repayment
variable
--highest_principal_repayment
SELECT country_name, indicator_name FROM public.international_debt
WHERE
debt=(SELECT MAX(debt) FROM international_debt WHERE indicator_code = 'DT.AMT.DLXF.CD');