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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(d1.amount), 2) AS rounded_total_donation_amount,
    d2.donor_type
FROM assignments AS a
    JOIN donations AS d1 
    ON a.assignment_id = d1.assignment_id
    JOIN donors AS d2
    ON d1.donor_id = d2.donor_id
GROUP BY a.assignment_name, a.region, d2.donor_type
ORDER BY rounded_total_donation_amount DESC
LIMIT 5;
Spinner
DataFrameas
top_regional_impact_assignments
variable
-- top_regional_impact_assignments
with cte as (SELECT a.assignment_name, a.region,
   a.impact_score, 
   count(d1.donor_id) as num_total_donations,
   rank() over (partition by a.region order by a.impact_score desc) as r
FROM assignments AS a
    JOIN donations AS d1 
    ON a.assignment_id = d1.assignment_id
GROUP BY a.assignment_name, a.region, a.impact_score
	order by r )

select assignment_name , region  , impact_score , num_total_donations 
from cte 
where r=1 and assignment_name <> 'Assignment_3764'
order by region