I have this table
I want to group by age with case and count the gender type
this case,
age <=20 then 'Group <=20'
age between 21-40 then 'Group 21-40'
age between 41-60 then 'Group 41-60'
age >60 then 'Group >60'
I've tried this code but it gives me an error
%%sql
select customer_id, birthdate, extract('year' from current_date) - extract('year' from birthdate ) age
case when age <= 20 then 'Group <= 20'
when age between 21 and 40 then 'Group 21 - 40'
when age between 41 and 60 then 'Group 41 - 60'
else 'Group > 60' end gender
from dim_customer
group by 1
Any solution? thanks before
btw, I use this code in python
CodePudding user response:
Alias columns are not used in SELECT but it's used at GROUP BY and ORDER BY clause.
-- PostgreSQL
SELECT t.*
, CASE WHEN age <= 20 THEN 'Group <= 20'
WHEN age BETWEEN 21 AND 40 THEN 'Group 21 - 40'
WHEN age BETWEEN 41 AND 60 THEN 'Group 41 - 60'
ELSE 'Group > 60' END gender
FROM (SELECT customer_id, birthdate
, extract('year' from current_date) - extract('year' from birthdate ) age
from dim_customer) t
Please check from url https://dbfiddle.uk/?rdbms=postgres_11&fiddle=38c6ba05adc779aed3063e490bcc6376
N.B.: Use date_part('year', current_timestamp :: DATE) - date_part('year', birthdate) for age calculation.
Count gender and use alias at group by section
SELECT CASE WHEN age <= 20 THEN 'Group <= 20'
WHEN age BETWEEN 21 AND 40 THEN 'Group 21 - 40'
WHEN age BETWEEN 41 AND 60 THEN 'Group 41 - 60'
ELSE 'Group > 60' END gender
, COUNT(t.gender) count_gender
, COUNT(CASE WHEN t.gender = 'M' THEN 1 END) gen_male
, COUNT(CASE WHEN t.gender = 'F' THEN 1 END) gen_female
FROM (SELECT customer_id, birthdate, gender
, extract('year' from current_date) - extract('year' from birthdate ) age
, date_part('year', current_timestamp :: DATE) - date_part('year', birthdate) age1
from dim_customer) t
GROUP BY CASE WHEN age <= 20 THEN 'Group <= 20'
WHEN age BETWEEN 21 AND 40 THEN 'Group 21 - 40'
WHEN age BETWEEN 41 AND 60 THEN 'Group 41 - 60'
ELSE 'Group > 60' END
Please check from url https://dbfiddle.uk/?rdbms=postgres_11&fiddle=ad8af9dd9b82ede20452377615ca7fde