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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
WITH total_donates AS (
    SELECT 
        assignment_id,
        ROUND(SUM(amount), 2) AS rounded_total_donation_amount,
        donor_type
    FROM donations AS d
    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
JOIN total_donates AS td
ON a.assignment_id = td.assignment_id
ORDER BY rounded_total_donation_amount DESC
LIMIT 5;
Spinner
DataFrameas
top_regional_impact_assignments
variable
WITH count_donations AS (
    SELECT 
        assignment_id,
        COUNT(donation_id) AS num_total_donations
    FROM donations 
    GROUP BY assignment_id
),

ranked_impact AS (
    SELECT
        assignment_name,
        region,
        impact_score,
        num_total_donations,
        ROW_NUMBER() OVER(PARTITION BY region ORDER BY impact_score DESC) AS rank
    FROM assignments AS a
    JOIN count_donations AS c
    ON a.assignment_id = c.assignment_id
    WHERE num_total_donations > 0
)

SELECT 
   assignment_name,
   region,
   impact_score,
   num_total_donations
FROM ranked_impact
WHERE rank = 1
ORDER BY region;