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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 donation_totals AS (
    SELECT 
        d.assignment_id,
        dn.donor_type,
        ROUND(SUM(d.amount), 2) AS rounded_total_donation_amount
    FROM donations AS d
    INNER JOIN donors AS dn ON d.donor_id = dn.donor_id
    GROUP BY d.assignment_id, dn.donor_type
)

SELECT 
    a.assignment_name,
    a.region,
    dt.rounded_total_donation_amount,
    dt.donor_type
FROM donation_totals AS dt
INNER JOIN assignments AS a ON dt.assignment_id = a.assignment_id
ORDER BY dt.rounded_total_donation_amount DESC
LIMIT 5;
Hidden code df
Spinner
DataFrameas
top_regional_impact_assignments
variable
-- top_regional_impact_assignments
WITH number_of_donations AS (
    SELECT
        assignment_id,
        COUNT(donation_id) AS num_total_donations
    FROM donations
    GROUP BY assignment_id
),

ranked_assignments AS (
    SELECT
        a.assignment_name,
        a.region,
        a.impact_score,
        nod.num_total_donations,
        ROW_NUMBER() OVER (PARTITION BY a.region ORDER BY a.impact_score DESC) AS rank_score
    FROM assignments AS a
    INNER JOIN number_of_donations AS nod
        ON a.assignment_id = nod.assignment_id
)

SELECT
    assignment_name,
    region,
    impact_score,
    num_total_donations
FROM ranked_assignments
WHERE rank_score = 1
ORDER BY region ASC;
Hidden code df1