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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
--CTE
WITH d1 AS(
	SELECT donations.assignment_id,  
	ROUND(SUM(donations.amount), 2) AS rounded_total_donation_amount, donors.donor_type
	FROM donations
	LEFT JOIN donors ON 
	donations.donor_id = donors.donor_id
	GROUP BY donations.assignment_id, donors.donor_type)
--Main query
SELECT a1.assignment_name, a1.region, d1.rounded_total_donation_amount, d1.donor_type
	FROM d1
	LEFT JOIN assignments AS a1
	ON d1.assignment_id = a1.assignment_id
	ORDER BY d1.rounded_total_donation_amount DESC
	LIMIT 5;
Spinner
DataFrameas
top_regional_impact_assignments
variable
-- top_regional_impact_assignments
--CTE for number of total donations
WITH c1 AS (
	SELECT a.assignment_id, COUNT(donations.donation_id) AS num_total_donations
	FROM assignments AS a
	INNER JOIN donations ON a.assignment_id = donations.assignment_id
	GROUP BY a.assignment_id),
--CTE for ranking impact score
c2 AS (
	SELECT a1.assignment_id, a1.region, a1.impact_score, ROW_NUMBER() OVER (PARTITION BY a1.region ORDER BY 	
	a1.impact_score DESC) AS impact_score_rank
	FROM assignments AS a1)
--Main Query
SELECT a2.assignment_name, c2.region, c1.num_total_donations, a2.impact_score
FROM assignments AS a2
INNER JOIN c1 ON 
c1.assignment_id = a2.assignment_id
INNER JOIN c2 ON
c2.assignment_id = a2.assignment_id
WHERE c2.impact_score_rank = '1'
ORDER BY region ASC;