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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
-- highest_donation_assignments
with donn as(
select
	d.assignment_id,
	don.donor_type,
	round(sum(d.amount),2) as rounded_total_donation_amount
from
	donations as d
		left join donors as don 
			on don.donor_id = d.donor_id
group by 
	d.assignment_id,
	don.donor_type)
-- final_result
select
	a.assignment_name,
	a.region,
	donn.rounded_total_donation_amount,
	donn.donor_type
from
	assignments as a
join
	donn 
		on donn.assignment_id = a.assignment_id
order by 
	donn.rounded_total_donation_amount desc
limit 5
Spinner
DataFrameas
top_regional_impact_assignments
variable
-- top_regional_impact_assignments
with donc as (
select
	assignment_id,
	count(donation_id) as num_total_donations
from
	donations
group by
	assignment_id),

rk as (
select
	a.assignment_name,
	a.region,
	a.impact_score,
	donc.num_total_donations,
	row_number() over (partition by a.region order by a.impact_score desc) as rank_in_region
from
	assignments as a
	left join donc 
		on donc.assignment_id = a.assignment_id
where
	donc.num_total_donations > 0)
-- final_result
select
	assignment_name,
	region,
	impact_score,
	num_total_donations
from
	rk
where
	rank_in_region = 1
order by
	region asc;