Daily plan
๐์ค์
- SQL ์ฝ๋์นดํ 3๋ฌธ์
- 9์ 30๋ถ) QCC
- 11์) QCC ํด์ค
๐ฅ ์คํ
- ํ๋ธ๋ก ๊ฐ์ ~3์ฃผ์ฐจ
-
๐ ์ ๋
- 20์ฌ) ์คํฌ๋ผ + ํด์ฆ
- TIL ์ ์ถํด !!!!
๋ถ์ : ๋ ์ ๋ ๋ฉ์ฒญ์ผ
select round(count(case when category='๋ถ๋ฅ๋์ง ์์ ์๋ด' then 1 end)/count(1)*100, 1) as uncategorised_call_pct
from (
select case when category is null or category='n/a' then "๋ถ๋ฅ๋์ง ์์ ์๋ด"
else category end as category
from calls
where date_format(call_date, "%Y-%m-%d") < "2024-04-15") a
2024-04-15"๊น์ง"์ธ๋ฐ WHERE์ ์์ ๋ฑํธ ์์จ์ 2024-04-15 ๋นผ๋ฒ๋ฆผใ
select user.age_bucket,
round(
sum(case when app.event_type='order' then 1 end)
/sum(case when app.event_type<>'review' then 1 end)*100
,2) as conversion_rate
from app_events app
join (select * from user_profiles where signup_date>"2023-01-01") user
on app.user_id = user.user_id
group by user.age_bucket
order by user.age_bucket
2023-01-01 "์ดํ"๋ผ๋ ๊ฒ๋ง ๋ณด๊ณ ์ฌ๊ธฐ์๋ ๋ฑํธ ์์ฐ๊ณ 2023-01-02๋ถํฐ ๊ณ์ฐํจ.......
with rnk as (
select user_id, order_datetime,
rank() over(partition by user_id order by order_datetime) order_date_rnk
from user_orders
)
select user_id,
datediff(max(order_datetime), min(order_datetime)) days_to_power_user
from rnk
where order_date_rnk in (1,10)
group by user_id
order by days_to_power_user
days_to_power_user๊ฐ ๊ฐ์ฅ ์์ user๋ฅผ ์ฐพ์์ผ ํ๋๋ฐ,, limit 1 ์๋๋ฆฌ๊ณ ๊ฑ ์์ ์ ๋ฆฌ๋ง ํด๋ฒ๋ฆผ....ใ ใ ....
ํ์ ๋๋จ + ์ฐํด ์ฝ์์ด๋ผ ๊ทธ๋ฐ์ง ๊ณต๋ถ๊ฐ ๋ํต ์์ ์์กํ๋ค
(ํ์์๋ ์ ์กํ ์ฒใ
)
๊ฐ์ธ๊ณผ์ ๋ ๊ณ์ ์๊ณ ์๋ค๊ฐ ๊ฒจ์ฐ ํ์๋ฌธ์ ๊น์ง๋ง ํ์๋ค,,
์ฐํด๋์ ๋ฏธ๋ค๋ ๊ณต๋ถ์ ํ์ ๋ด์ฉ ์ ๋ฆฌ๋ฅผ ํด์ผ๊ฒ ๋คใ
.ใ
์ฐํด๋์...???