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Project: Impact Analysis of GoodThought NGO Initiatives

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
DataFrameavailable as
highest_donation_assignments
variable
-- highest_donation_assignments

SELECT
	assignment_name,
	donor_type,
	region,
	ROUND(SUM(amount), 2) AS rounded_total_donation_amount
FROM assignments
INNER JOIN donations
ON assignments.assignment_id = donations.assignment_id
INNER JOIN donors
ON donations.donor_id = donors.donor_id
GROUP BY assignment_name, donor_type, region
ORDER BY rounded_total_donation_amount DESC
LIMIT 5;
Spinner
DataFrameavailable as
top_regional_impact_assignments
variable
-- top_regional_impact_assignments


WITH donation_counts 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,
        dc.num_total_donations,
        ROW_NUMBER() OVER (PARTITION BY a.region ORDER BY a.impact_score DESC) AS rank_in_region
    FROM
        assignments a
    JOIN
        donation_counts dc ON a.assignment_id = dc.assignment_id
    WHERE
        dc.num_total_donations > 0
)
SELECT
    assignment_name,
    region,
    impact_score,
    num_total_donations
FROM
    ranked_assignments
WHERE
    rank_in_region = 1
ORDER BY
    region ASC;
Spinner
DataFrameavailable as
df
variable
SELECT
        assignment_id,
        COUNT(donation_id) AS num_total_donations
    FROM
        donations
    GROUP BY
        assignment_id
Spinner
DataFrameavailable as
df1
variable
WITH donation_counts AS (
    SELECT
        assignment_id,
        COUNT(donation_id) AS num_total_donations
    FROM
        donations
    GROUP BY
        assignment_id
)

SELECT
        a.assignment_name,
        a.region,
        a.impact_score,
        dc.num_total_donations,
        ROW_NUMBER() OVER (PARTITION BY a.region ORDER BY a.impact_score DESC) AS rank_in_region
    FROM
        assignments a
    JOIN
        donation_counts dc ON a.assignment_id = dc.assignment_id
    WHERE
        dc.num_total_donations > 0
Spinner
DataFrameavailable as
df2
variable