Skip to content

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

WITH top_four_rank AS (
	SELECT  DISTINCT public.assignments.assignment_name ,   public.assignments.region, public.assignments.impact_score , 
DENSE_RANK() OVER(PARTITION BY  public.assignments.region ORDER BY public.assignments.impact_score DESC) AS rank_number
FROM public.assignments 
INNER JOIN public.donations
	ON public.assignments.assignment_id = public.donations.assignment_id
INNER JOIN public.donors
	ON public.donations.donor_id = public.donors.donor_id
ORDER BY  rank_number, public.assignments.region  
LIMIT 4
)

	
SELECT  DISTINCT public.assignments.assignment_name ,   public.assignments.region, public.assignments.impact_score , 
SUM(public.donations.amount) OVER(PARTITION BY  public.assignments.region) AS num_total_donations 
FROM public.assignments 
INNER JOIN public.donations
	ON public.assignments.assignment_id = public.donations.assignment_id
INNER JOIN public.donors
	ON public.donations.donor_id = public.donors.donor_id
WHERE  public.assignments.assignment_name IN (SELECT assignment_name FROM top_four_rank )
ORDER BY  public.assignments.region;