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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 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.
DataFrameavailable as
num_distinct_countries
variable
--num_distinct_countries
WITH num_distinct_countries AS (
SELECT COUNT(DISTINCT country_name) AS total_distinct_countries
FROM international_debt)
SELECT *
FROM num_distinct_countries; DataFrameavailable as
distinct_debt_indicators
variable
--distinct_debt_indicators
WITH distinct_debt_indicators AS (
SELECT DISTINCT indicator_name AS distinct_debt_indicators
FROM public.international_debt
ORDER BY distinct_debt_indicators)
SELECT *
FROM distinct_debt_indicators; DataFrameavailable as
total_debt
variable
--total_debt
WITH total_debt AS (
SELECT ROUND(SUM(debt)*0.000001,2) AS total_debt
FROM international_debt)
SELECT *
FROM total_debt;DataFrameavailable as
highest_debt_country
variable
--highest_debt_country
WITH highest_debt_country AS (
SELECT country_name, SUM(debt) AS total_debt
FROM international_debt
GROUP BY country_name
ORDER BY total_debt DESC
LIMIT 1)
SELECT *
FROM highest_debt_country;DataFrameavailable as
avg_debt_per_indicator
variable
--avg_debt_per_indicator
WITH avg_debt_per_indicator AS (
SELECT
indicator_code AS debt_indicator,
indicator_name,
AVG(debt) AS average_debt
FROM international_debt
GROUP BY indicator_code, indicator_name
ORDER BY average_debt DESC
LIMIT 10)
SELECT *
FROM avg_debt_per_indicator; DataFrameavailable as
highest_principal_repayment
variable
--highest_principal_repayment
WITH highest_principal_repayment AS(
SELECT country_name, indicator_name
FROM international_debt
WHERE indicator_code IN ('DT.AMT.DLXF.CD')
ORDER BY debt DESC
LIMIT 1)
SELECT *
FROM highest_principal_repayment;