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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!

Spinner
DataFrameas
highest_donation_assignments
variable
-- highest_donation_assignments
WITH cte AS(
	SELECT
		donations.assignment_id,
		SUM(donations.amount) AS total_donation_amount,
		donors.donor_type
	FROM donations INNER JOIN donors USING(donor_id)
	GROUP BY assignment_id, donor_type
)
SELECT 
	a.assignment_name,
	a.region,
	ROUND(cte.total_donation_amount, 2) AS rounded_total_donation_amount,
	cte.donor_type
FROM assignments a 
INNER JOIN cte USING(assignment_id)
ORDER BY rounded_total_donation_amount DESC
LIMIT 5;
Spinner
DataFrameas
top_regional_impact_assignments
variable
-- top_regional_impact_assignments
WITH x as (
	SELECT 
		assignment_name,
		region,
		COUNT(donation_id) AS num_total_donations
		FROM donations INNER JOIN assignments USING(assignment_id)
		GROUP BY assignment_name, region
),
y as (
	SELECT
		assignment_name, assignments.region, impact_score,
		ROW_NUMBER() OVER(
		PARTITION BY assignments.region
		ORDER BY impact_score DESC) as rank
		FROM assignments 
		INNER JOIN x USING(assignment_name)
)
SELECT y.assignment_name, y.region, y.impact_score, x.num_total_donations
FROM x INNER JOIN y USING(assignment_name)
WHERE rank = 1
ORDER BY region