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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 donor_info AS (	
		SELECT
			assignment_id,
			donor_type,
			ROUND(SUM(amount),2) AS rounded_total_donation_amount
		FROM donations
		JOIN donors
		ON donations.donor_id = donors.donor_id
		GROUP BY assignment_id, donor_type
		)
SELECT 
	assignment_name,
	region,
	rounded_total_donation_amount,
	donor_type
FROM assignments
JOIN donor_info
ON assignments.assignment_id = donor_info.assignment_id
ORDER BY rounded_total_donation_amount DESC
LIMIT 5
Spinner
DataFrameas
top_regional_impact_assignments
variable
-- top_regional_impact_assignmentsdonations_num AS (
WITH num_don AS (	
	SELECT
		assignment_id,
		COUNT(*) AS num_total_donations
	FROM donations
	GROUP BY assignment_id),
ranks AS (
	SELECT
		assignment_id,
		assignment_name,
		region,
		impact_score,
		ROW_NUMBER() OVER (PARTITION BY region 
							ORDER BY impact_score DESC) AS row_num
	FROM assignments)

SELECT
 assignment_name,
 region,
 impact_score,
 num_total_donations
FROM ranks
JOIN num_don
ON ranks.assignment_id = num_don.assignment_id
WHERE row_num = 1
ORDER BY region ASC