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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
SELECT 
	assignment_name,
	region,
	ROUND(SUM(amount),2) AS rounded_total_donation_amount,
	donor_type
FROM public.assignments
	JOIN public.donations
	ON public.assignments.assignment_id=public.donations.assignment_id
	JOIN public.donors
	ON public.donations.donor_id=public.donors.donor_id
GROUP BY assignment_name,region,donor_type
ORDER BY rounded_total_donation_amount DESC
LIMIT 5
Spinner
DataFrameas
top_regional_impact_assignments
variable
-- top_regional_impact_assignments
WITH max_impact_score AS(
SELECT
	region,
	MAX(impact_score) AS impact_score
FROM public.assignments
GROUP BY region),

max_assignment AS (SELECT 
	assignment_name,
	region,
	MAX(impact_score) AS impact_score,
	SUM(amount) AS num_total_donations
FROM public.assignments
	JOIN public.donations
	ON public.donations.assignment_id=public.assignments.assignment_id
GROUP BY 
	assignment_name,
	region
HAVING SUM(amount) > 0) 

SELECT
	assignment_name,
	max_impact_score.region,
	max_impact_score.impact_score,
	num_total_donations
FROM max_impact_score
	JOIN max_assignment
	ON max_assignment.region=max_impact_score.region 
	AND max_assignment.impact_score=max_impact_score.impact_score
ORDER BY region
LIMIT 4