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!
-- highest_donation_assignments
SELECT
a.assignment_name,
a.region,
ROUND(SUM(dnt.amount),2) as rounded_total_donation_amount,
dnr.donor_type
FROM public.assignments as a
INNER JOIN public.donations as dnt
ON a.assignment_id = dnt.assignment_id
INNER JOIN public.donors as dnr
ON dnt.donor_id = dnr.donor_id
GROUP BY
dnr.donor_type,
a.region,
a.assignment_name
ORDER BY rounded_total_donation_amount DESC
LIMIT 5-- top_regional_impact_assignments
WITH table_1 AS (
SELECT
a.assignment_name,
COUNT(dnt.donation_id) as num_total_donations
FROM public.assignments as a
INNER JOIN donations as dnt
ON a.assignment_id = dnt.assignment_id
GROUP BY a.assignment_id
ORDER BY a.assignment_id
),
table_2 AS (
SELECT
assignment_name,
region,
impact_score,
ROW_NUMBER() OVER(PARTITION BY region ORDER BY impact_score DESC) as rank
FROM public.assignments
)
SELECT
tb2.assignment_name,
tb2.region,
tb2.impact_score,
tb1.num_total_donations
FROM table_2 as tb2
INNER JOIN table_1 as tb1
ON tb2.assignment_name = tb1.assignment_name
WHERE tb2.rank = 1
ORDER BY region ASC