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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 top_assignments AS (
	SELECT assignment_id,
	ROUND(SUM(amount), 2) AS rounded_total_donation_amount,
	donor_type
	FROM donations AS d
	INNER JOIN donors AS dn
	ON d.donor_id = dn.donor_id
	GROUP BY assignment_id,donor_type
)
SELECT assignment_name, region, 
rounded_total_donation_amount, donor_type
FROM assignments AS a
INNER JOIN top_assignments AS t
ON a.assignment_id = t.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 scoring AS (
	SELECT assignment_id,
	COUNT(*) AS num_total_donations
	FROM donations AS d
	GROUP BY assignment_id
), 
highest AS (
	SELECT assignment_id, assignment_name, region, impact_score,
	ROW_NUMBER() OVER (PARTITION BY region ORDER BY impact_score DESC) AS rank
	FROM assignments
)
SELECT assignment_name, region, impact_score, num_total_donations
FROM highest
INNER JOIN scoring 
ON scoring.assignment_id = highest.assignment_id
WHERE rank = 1
ORDER BY region;


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DataFrameas
df
variable
--how many unique assignments
SELECT COUNT(DISTINCT a.assignment_name) FROM assignments AS a
INNER JOIN donations AS d
ON a.assignment_id = d.assignment_id
--WHERE amount IS NULL