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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 highest_donation_assignments AS ( 
	SELECT a.assignment_name, a.region, ROUND(SUM(d.amount),2) AS rounded_total_donation_amount, donors.donor_type
	FROM donations AS d
	JOIN assignments AS a ON d.assignment_id = a.assignment_id
	JOIN donors ON d.donor_id = donors.donor_id
	GROUP BY a.assignment_name, a.region, donors.donor_type
),
ranked_donation AS (
	SELECT
	 	assignment_name,
	 	region,
		donor_type,
		rounded_total_donation_amount,
		RANK() OVER (PARTITION BY donor_type 
		ORDER BY rounded_total_donation_amount DESC) AS rnk
	FROM highest_donation_assignments
)	
SELECT
	assignment_name,
	region,
	donor_type,
	rounded_total_donation_amount
FROM ranked_donation
WHERE rnk <= 3
ORDER BY rounded_total_donation_amount DESC
LIMIT 5;
Spinner
DataFrameas
donations
variable
SELECT * FROM public.donations
Spinner
DataFrameas
top_regional_impact_assignments
variable
-- top_regional_impact_assignments
WITH top_regional_impact_assignments AS ( 
	SELECT a.assignment_name, a.region, a.impact_score, COUNT(d.donation_id) AS num_total_donations
	FROM assignments AS a
	JOIN donations AS d ON a.assignment_id = d.assignment_id
	GROUP BY a.assignment_name, a.region, a.impact_score
),
ranked_assignments AS (
	SELECT
	 	assignment_name,
	 	region,
		impact_score,
		num_total_donations,
		ROW_NUMBER() OVER (PARTITION BY region
		ORDER BY impact_score DESC) AS rn
	FROM top_regional_impact_assignments 
)	
SELECT
	 	assignment_name,
	 	region,
		impact_score,
		num_total_donations
FROM ranked_assignments 
WHERE
rn = 1
ORDER BY region ASC;