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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 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?

Below is a snapshot of the database you will be working with:

country_namecountry_codeindicator_nameindicator_codedebt
AfghanistanAFG"Disbursements on external debt, long-term (DIS, current US$)"DT.DIS.DLXF.CD72894453.7
AfghanistanAFG"Interest payments on external debt, long-term (INT, current US$)"DT.INT.DLXF.CD53239440.1
AfghanistanAFG"PPG, bilateral (AMT, current US$)"DT.AMT.BLAT.CD61739336.9
AfghanistanAFG"PPG, bilateral (DIS, current US$)"DT.DIS.BLAT.CD49114729.4
AfghanistanAFG"PPG, bilateral (INT, current US$)"DT.INT.BLAT.CD39903620.1
AfghanistanAFG"PPG, multilateral (AMT, current US$)"DT.AMT.MLAT.CD39107845
AfghanistanAFG"PPG, multilateral (DIS, current US$)"DT.DIS.MLAT.CD23779724.3
AfghanistanAFG"PPG, multilateral (INT, current US$)"DT.INT.MLAT.CD13335820
AfghanistanAFG"PPG, official creditors (AMT, current US$)"DT.AMT.OFFT.CD100847181.9
AfghanistanAFG"PPG, official creditors (DIS, current US$)"DT.DIS.OFFT.CD72894453.7

You will execute SQL queries to answer six questions, as listed in the instructions.

Total distinct countries in the dataset.

Spinner
DataFrameavailable as
num_distinct_countries
variable
Run cancelled
--num_distinct_countries
SELECT COUNT(DISTINCT country_name) as total_distinct_countries
FROM international_debt;

Unique debt indicators present in the dataset.

Spinner
DataFrameavailable as
distinct_debt_indicators
variable
Run cancelled
--distinct_debt_indicators
SELECT DISTINCT(indicator_name) as distinct_debt_indicators
FROM international_debt
ORDER BY distinct_debt_indicators;

The overall sum of debt across countries in million USD.

Spinner
DataFrameavailable as
total_debt
variable
Run cancelled
--total_debt
SELECT ROUND(SUM(debt)/1000000, 2) as total_debt
FROM international_debt;

The country holding the maximum debt and the corresponding amount.

Spinner
DataFrameavailable as
highest_debt_country
variable
Run cancelled
--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;

Average debt for the top 10 debt indicators.

Spinner
DataFrameavailable as
avg_debt_per_indicator
variable
Run cancelled
--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;

The country with the highest principal repayment.

Spinner
DataFrameavailable as
highest_principal_repayment
variable
Run cancelled
--highest_principal_repayment
SELECT country_name, indicator_name
FROM international_debt
WHERE debt = (
	SELECT MAX(debt)
	FROM international_debt
	WHERE indicator_code = 'DT.AMT.DLXF.CD'
);