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_name	country_code	indicator_name	indicator_code	debt
Afghanistan	AFG	"Disbursements on external debt, long-term (DIS, current US$)"	DT.DIS.DLXF.CD	72894453.7
Afghanistan	AFG	"Interest payments on external debt, long-term (INT, current US$)"	DT.INT.DLXF.CD	53239440.1
Afghanistan	AFG	"PPG, bilateral (AMT, current US$)"	DT.AMT.BLAT.CD	61739336.9
Afghanistan	AFG	"PPG, bilateral (DIS, current US$)"	DT.DIS.BLAT.CD	49114729.4
Afghanistan	AFG	"PPG, bilateral (INT, current US$)"	DT.INT.BLAT.CD	39903620.1
Afghanistan	AFG	"PPG, multilateral (AMT, current US$)"	DT.AMT.MLAT.CD	39107845
Afghanistan	AFG	"PPG, multilateral (DIS, current US$)"	DT.DIS.MLAT.CD	23779724.3
Afghanistan	AFG	"PPG, multilateral (INT, current US$)"	DT.INT.MLAT.CD	13335820
Afghanistan	AFG	"PPG, official creditors (AMT, current US$)"	DT.AMT.OFFT.CD	100847181.9
Afghanistan	AFG	"PPG, official creditors (DIS, current US$)"	DT.DIS.OFFT.CD	72894453.7

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

DataFrameas

num_distinct_countries

variable

-- Q: What is the number of distinct countries present in the database? 

-- num_distinct_countries
SELECT 
	COUNT(DISTINCT international_debt.country_name) AS num_distinct_countries 
FROM international_debt;

DataFrameas

distinct_debt_indicators

variable

-- Q: What are the distinct debt indicators?

-- distinct_debt_indicators
SELECT 
	DISTINCT international_debt.indicator_code AS distinct_debt_indicators
FROM international_debt
ORDER BY distinct_debt_indicators

DataFrameas

total_debt

variable

-- Q: What is the total amount of debt owed by all the countries present in the table, in millions?

-- total_debt
SELECT 
	ROUND(SUM(international_debt.debt) / 1000000, 2) AS total_debt
FROM international_debt

DataFrameas

highest_debt_country

variable

-- Q: What country has the highest amount of debt?

-- highest_debt_country
SELECT 
	international_debt.country_name,
	SUM(international_debt.debt) AS total_debt
FROM international_debt
GROUP BY country_name
ORDER BY total_debt DESC
LIMIT 1

DataFrameas

avg_debt_per_indicator

variable

-- Q: What is the average amount of debt across different debt indicators?

-- avg_debt_per_indicator
SELECT
	international_debt.indicator_code AS debt_indicator,
	international_debt.indicator_name,
	AVG(international_debt.debt) AS average_debt
FROM international_debt
GROUP BY international_debt.indicator_code, international_debt.indicator_name
ORDER BY average_debt DESC
LIMIT 10;

DataFrameas

highest_principal_repayment

variable

-- Q: What is the highest amount of principal repayments in the "DT.AMT.DLXF.CD" category?

-- highest_principal_repayment
SELECT
	international_debt.country_name,
	international_debt.indicator_name
FROM international_debt
WHERE international_debt.debt = (SELECT 
								 	MAX(debt) 
								 FROM international_debt 
								 WHERE indicator_code = 'DT.AMT.DLXF.CD');
-- ORDER BY international_debt.debt DESC
-- LIMIT 1;