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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 a.assignment_name,
a.region,
round(sum(d.amount),2) as rounded_total_donation_amount,
donors.donor_type
From donations d
join assignments a on a.assignment_id = d.assignment_id
join donors on d.donor_id = donors.donor_id
group by a.assignment_name, a.region, donors.donor_type
order by rounded_total_donation_amount desc
limit 5;
Spinner
DataFrameas
top_regional_impact_assignments
variable
-- top_regional_impact_assignments
-- assignment with highest impact_score each region
-- where assignment has >= 1 donation
-- join assignments with donations
with ranked_assignments as (
select a.assignment_name,
a.region,
a.impact_score,
count(d.donation_id) num_total_donations,
rank () over(partition by a.region order by a.impact_score desc) rank_assignment
from assignments a
join donations d on a.assignment_id = d.assignment_id
group by a.region, a.assignment_name, a.impact_score
having count(d.donation_id) >= 1
)

select assignment_name,
    region,
    impact_score,
    num_total_donations
FROM 
    ranked_assignments
WHERE 
    rank_assignment = 1
ORDER BY 
    region
Limit 4;