August 2022
Beginner to intermediate
436 pages
9h 43m
Korean
Content preview from SQL로 시작하는 데이터 분석
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233
4
장
코호트 분석
4.6
결론
코호트 분석은 각 그룹의 리텐션, 반복 행동, 누적값 등이 시간에 따라 어떻게 변화하는지 이해
하는 데 유용합니다. 코호트 분석으로 각 코호트의 고유한 속성 (예: 성별)이나 행동에서 도출
된 속성(예: 구매 횟수)에 해당하는 모집단의 특성을 유추해볼 수 있습니다. 이러한 분석을 통
해 재미있고 유용한 상관관계가 발견되기도 하지만, 상관관계와 인과관계는 다릅니다. 실제 인
과관계를 찾는 데는 무작위 실험
randomized
experiment
이 필요합니다.
7
장에서 이와 관련된 실험 분
석을 자세히 다룹니다.
실험 관련 내용으로 넘어가기 전에 몇 가지 분석 방법을 더 알아봅시다. 다음 장에서는 텍스트
분석을 살펴봅니다. 텍스트 분석에서 사용하는 다양한 기법들은 다른 분석에서도 자주 사용할
뿐 아니라 그 자체로도 매우 흥미로운 분석입니다.
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.