DB Quacks SQL Tutorial · Chapter 4
CASE Closed: The Duck Detective Story
Detective duck approaches with a magnifying glass. Elementary! I need to categorize ducks as Young (2 or under), Adult (3-4), or Senior (5+) for demographic analysis. Help solve this classification mystery!
Your task
Show each duck's name with their age category (Young/Adult/Senior) based on their age from the 'data/ducks.csv' table. You will be creating conditional logic to categorize ducks into age groups.
Hint
Look for a conditional statement that can evaluate multiple conditions and return different values based on the results.
Expected result
A table showing duck names and their age categories.
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[] |
Database: https://dbquacks.com/data/databases/tutorial.duckdb
This page as markdown: https://dbquacks.com/tutorial/19.md