Skip to content

Title goes here

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
--assignment_name, region, rounded_table_donation_amount ROUND(,2), donor_type sort_by rounded_table_donation_amount DESC

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

with highest_score AS (
SELECT 
	pa.assignment_name, 
	pa.region,
	pa.impact_score,
	RANK() OVER (PARTITION BY pa.region ORDER BY pa.impact_score DESC), 
	COUNT(pd.donor_id) AS num_total_donations
FROM public.assignments pa
JOIN public.donations pd
ON pd.assignment_id = pa.assignment_id
	WHERE pd.donor_id > 1
GROUP BY pa.assignment_name, pa.region, pa.impact_score
ORDER BY pa.region)

SELECT hs.assignment_name, hs.region, hs.impact_score, hs.num_total_donations
FROM highest_score hs
WHERE hs.rank = 1
LIMIT 4