August 2022
Beginner to intermediate
436 pages
9h 43m
Korean
Content preview from SQL로 시작하는 데이터 분석
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120
SQL로 시작하는 데이터 분석
1993 Men’s clothing stores 9962
1993 Women’s clothing store 32350
... ... ...
여성 의류업 매출과 남성 의류업 매출 간 차이가 매년 비슷한 수준으로 유지될까요? [그
림
3
-
6
]을 보면 매출 차이는 매년 동일하지 않으며,
2000
년대 중반까지 점점 커집니다.
2008
~
2009
년 세계 금융 위기 때는 여성 의류업 매출이 잠시 감소했고,
2020
년에는 코로나
19
로 인해 두 매출 모두 크게 감소했습니다.
여성 의류업과 남성 의류업의 연간 매출
월
매출(백만)
그림
3-6
여성 의류업과 남성 의류업의 연간 매출 트렌드
하지만 그래프로 파악한 결과에만 의존할 수는 없습니다. 차이를 보다 정확히 알아보기 위해
두 업종 간 매출 차이, 비율, 비율 차이를 계산해봅시다. 우선 업종은 열, 연도는 행으로 데이터
를 정리합니다. 다음 코드와 같이
CASE
문과 집계 함수를 사용해 피벗을 수행합니다.
121
3
장
시계열 분석
SELECT
date_part(‘year’,sales_month)
as
sales_year ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.