GoodThought NGO has been a catalyst for positive change, focusing its efforts on education, healthcare, and sustainable development to make a significant difference in communities worldwide. With this mission, GoodThought has orchestrated an array of assignments aimed at uplifting underprivileged populations and fostering long-term growth.
This project offers a hands-on opportunity to explore how data-driven insights can direct and enhance these humanitarian efforts. In this project, you'll engage with the GoodThought PostgreSQL database, which encapsulates detailed records of assignments, funding, impacts, and donor activities from 2010 to 2023. This comprehensive dataset includes:
Assignments: Details about each project, including its name, duration (start and end dates), budget, geographical region, and the impact score.Donations: Records of financial contributions, linked to specific donors and assignments, highlighting how financial support is allocated and utilized.Donors: Information on individuals and organizations that fund GoodThought’s projects, including donor types.
Refer to the below ERD diagram for a visual representation of the relationships between these data tables:
You will execute SQL queries to answer two questions, as listed in the instructions. Good luck!
-- highest_donation_assignments
SELECT
a.assignment_name,
a.region,
dt.rounded_total_donation_amount,
dt.donor_type
FROM assignments AS a
JOIN (
SELECT
d.assignment_id,
dn.donor_type,
ROUND(SUM(d.amount), 2) AS rounded_total_donation_amount
FROM donations AS d
JOIN donors AS dn ON d.donor_id = dn.donor_id
GROUP BY d.assignment_id, dn.donor_type
) AS dt ON a.assignment_id = dt.assignment_id
ORDER BY dt.rounded_total_donation_amount DESC
LIMIT 5;
-- top_regional_impact_assignments
SELECT DISTINCT ON (a.region)
a.assignment_name,
a.region,
a.impact_score,
COUNT(d.donation_id) AS num_total_donations
FROM assignments AS a
LEFT JOIN donations AS d
ON a.assignment_id = d.assignment_id
GROUP BY a.assignment_name, a.region, a.impact_score
ORDER BY a.region ASC, a.impact_score DESC;