Kelton Santos
I am passionate about Data Analysis & Visualization.
As part of my career goals to improve my data skills, I've built this portfolio website to keep track of my learning.
This project is part of the Data Analytics Accelarator Bootcamp by Avery Smith.
The International Development Association (IDA) credits are public and publicly guaranteed debt extended by the World Bank Group. IDA provides development credits, grants and guarantees to its recipient member countries to help meet their development needs. Credits from IDA are at concessional rates. Data are in U.S. dollars calculated using historical rates. This dataset contains historical snapshots of the IDA Statement of Credits and Grants including the latest available snapshot. Source: World Bank
The data for this project can be found on the website of World Bank. We downloaded the CSV file from the website and imported it to SQL and Tableau for analysis.
In this dataset we have the following information 👇
The main columns used in this project are:
👉 Visit this link for more information about the dataset and data dictionary.
We will analyze the loans and credit of IDA, and answer the following questions:
To analyze our data, we had to use SQL because the CSV file had more than 1 million rows, making it very difficult to use Excel.
To answer the first question, I executed the following SQL query, and used Tableau to plot the data:
SELECT country, SUM ("Due to IDA") AS "Total_Due"
FROM "IDA_Finance"
WHERE "End of Period" = '12/31/2021 12:00:00 AM'
GROUP BY "country"
ORDER BY "Total_Due" Desc
LIMIT 10;
As we can see India, Bangladesh,and Pakistan are the Top 3 debtors. The Top 10 countries are from the Asian and African Continent, as we can see below
By ploting the data, of disbursed amount, it’s possible to see a trend in the stock of amout Cape Verde disbursed each year.
Taking a closer look to the individual amount disbursed for year, it’s possible to see that from 2019 to 2021 the amout disbursed were significantly greater than in the previous years. This may be due to face the economic consequence of Covid-19.
First I filtered the data only for “Cape Verde” and “Cabo Verde” (they are the same country) using the following query:
SELECT *
FROM "IDA_Finance"
WHERE "country" = ('Cabo Verde', 'Cape Verde');
As of November 2022, Cape Verde owed 458 Million USD to the World bank.
Cape Verde also repays to IDA every year, as we can see in the chart below:
After plotting a bubble chart, we can see that the top projects, by amount disbursed are:
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