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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 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.
DataFrameavailable as
num_distinct_countries
variable
--num_distinct_countries
SELECT COUNT(DISTINCT international_debt.country_name) AS num_distinct_countries
FROM international_debt;DataFrameavailable as
distinct_debt_indicators
variable
--distinct_debt_indicators
SELECT DISTINCT international_debt.indicator_name AS distinct_debt_indicator
FROM international_debt
ORDER BY distinct_debt_indicator;DataFrameavailable as
total_debt
variable
--total_debt
SELECT ROUND(SUM(international_debt.debt)/1000000.0,2) AS total_debt
FROM international_debt;DataFrameavailable as
highest_debt_country
variable
--highest_debt_country
SELECT international_debt.country_name, SUM(international_debt.debt) AS total_debt
FROM international_debt
GROUP BY international_debt.country_name
ORDER BY total_debt DESC
LIMIT 1;
DataFrameavailable as
avg_debt_per_indicator
variable
--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 debt_indicator, indicator_name
ORDER BY average_debt DESC
LIMIT 10;DataFrameavailable as
highest_principal_repayment
variable
--highest_principal_repayment
SELECT international_debt.country_name,
international_debt.indicator_name
FROM international_debt
WHERE international_debt.debt =
(SELECT MAX(international_debt.debt)
FROM international_debt
WHERE international_debt.indicator_code = 'DT.AMT.DLXF.CD');