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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!

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DataFrameas
highest_donation_assignments
variable
-- highest_donation_assignments
SELECT assignment_name, region, ROUND(SUM(amount),2) AS rounded_total_donation_amount, donor_type
FROM donations AS d1
INNER JOIN assignments AS a ON d1.assignment_id = a.assignment_id
INNER JOIN donors AS d2 ON d1.donor_id = d2.donor_id
GROUP BY assignment_name, region, donor_type
ORDER BY rounded_total_donation_amount DESC
LIMIT 5
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DataFrameas
top_regional_impact_assignments
variable
-- top_regional_impact_assignments
WITH cte1 AS (
	SELECT assignment_id, assignment_name, region, impact_score
    FROM assignments AS a1
    WHERE impact_score = (SELECT MAX(impact_score) FROM assignments AS a2 WHERE a2.region = a1.region)
),

CTE2 AS (
	SELECT assignment_name, region, impact_score, SUM(amount) AS num_total_donations,
	ROW_NUMBER() OVER(PARTITION BY region ORDER BY SUM(amount) DESC) AS RANK
    FROM cte1 AS c
    INNER JOIN donations AS d ON c.assignment_id = d.assignment_id
    GROUP BY assignment_name, region, impact_score
)

SELECT assignment_name, region, impact_score, num_total_donations
FROM cte2
WHERE RANK = 1