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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
WITH rounded_total_donation_amount AS (
    SELECT donations.assignment_id, ROUND(SUM(amount),2) AS rounded_total_donation_amount, donor_type
    FROM donations
    LEFT JOIN donors
    ON donations.donor_id = donors.donor_id
    GROUP BY donations.assignment_id, donor_type
    ORDER BY rounded_total_donation_amount DESC
    LIMIT 5
)

SELECT assignment_name, region, rounded_total_donation_amount, donor_type
FROM assignments
INNER JOIN rounded_total_donation_amount
ON assignments.assignment_id = rounded_total_donation_amount.assignment_id
ORDER BY rounded_total_donation_amount DESC
LIMIT 5
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DataFrameas
top_regional_impact_assignments
variable
-- top_regional_impact_assignments

WITH num_don AS (
	SELECT assignment_id, COUNT(amount) AS num_total_donations
	FROM donations
	GROUP BY assignment_id
	HAVING COUNT(amount) >= 1
),
	
ranking AS (
	SELECT a.assignment_id, a.region, a.impact_score, nd.num_total_donations,
	ROW_NUMBER() OVER(ORDER BY a.impact_score DESC) AS row_num,
	DENSE_RANK() OVER(PARTITION BY a.region ORDER BY a.impact_score DESC) AS dense_rank_n
	FROM assignments a
	INNER JOIN num_don nd
	ON a.assignment_id = nd.assignment_id
	ORDER BY a.impact_score DESC
)

SELECT DISTINCT ON (r.region) a.assignment_name, a.region, a.impact_score, r.num_total_donations
FROM assignments a
INNER JOIN ranking r
ON r.assignment_id = a.assignment_id
WHERE r.dense_rank_n = 1
ORDER BY r.region;