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Project: Analyze International Debt Statistics
Humans not only take debts to manage 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 project, you 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. You are going to find the answers to the following questions:
- What is the number of distinct countries present in the database?
- What country has the highest amount of debt?
- What country has the lowest amount of repayments?
Below is a description of the table you will be working with:
international_debt table
international_debt 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 three questions, as listed in the instructions.
DataFrameas
num_distinct_countries
variable
Select
count(distinct country_name) as total_distinct_countries
From
international_debtDataFrameas
highest_debt_country
variable
Select
country_name,
sum(debt) as total_debt
from
international_debt
Group by
country_name
order by
total_debt desc
Limit 1;DataFrameas
lowest_principal_repayment
variable
Select
country_name,
indicator_name,
min(debt) as lowest_repayment
From
international_debt
Where
indicator_code = 'DT.AMT.DLXF.CD'
Group by
1,2
Order by
lowest_repayment
Limit 1