DB Quacks SQL Tutorial · Chapter 4
DuckCon 2024: Executive Dashboard Madness
CEO duck in a business suit flaps over frantically. Emergency! DuckCon starts tomorrow and the board needs executive data - species visit counts, only species with 3+ visits, sorted by count!
Your task
Show each species and their total visit count, only for species with more than 3 visits, sorted by count. You will be joining the ducks table with 'data/pond_visits.csv', then grouping and filtering the results.
Hint
Combine joining, grouping, filtering groups, and sorting in one query.
Expected result
A table showing species with more than 3 visits, sorted by visit count.
Tables
duck_diaries (10 rows)
| column | type |
|---|---|
diary_id | BIGINT |
duck_id | BIGINT |
entry_date | DATE |
diary_text | VARCHAR |
mood | VARCHAR |
duck_surveys (5000 rows)
| column | type |
|---|---|
survey_id | BIGINT |
duck_id | BIGINT |
age | BIGINT |
favorite_food | VARCHAR |
favorite_pond | BIGINT |
swimming_rating | BIGINT |
migration_preference | VARCHAR |
social_behavior | VARCHAR |
health_status | VARCHAR |
activity_level | VARCHAR |
survey_date | DATE |
survey_location | BIGINT |
ducks (15 rows)
| column | type |
|---|---|
id | BIGINT |
name | VARCHAR |
age | BIGINT |
species | VARCHAR |
birth_date | DATE |
arrival_date | DATE |
ponds (3 rows)
| column | type |
|---|---|
pond_id | BIGINT |
pond_name | VARCHAR |
location_lat | DOUBLE |
location_lng | DOUBLE |
capacity | BIGINT |
features | VARCHAR[] |
amenities | VARCHAR[] |
Files
data/pond_visits.csv (40 rows)
| column | type |
|---|---|
visit_id | BIGINT |
duck_id | BIGINT |
pond_id | BIGINT |
visit_date | DATE |
duration_minutes | BIGINT |
Database: https://dbquacks.com/data/databases/tutorial.duckdb
This page as markdown: https://dbquacks.com/tutorial/22.md