앞서 시간 단위로 지진 데이터를 분석할 때는 연 단위부터 시작해 단위를 점점 좁혀갔습니다.
이번에는 위치를 기준으로 분석하는데,
place
필드에는 이미 매우 세밀한 단위의 위치 값이 저
장돼 있습니다. 위 쿼리 결과를 보면 일본의 혼슈
Honshu
에서 지진 발생 횟수가 많다는 점이 확
실히 눈에 띄지만 전체적인 결과를 한눈에 파악하기는 조금 어렵습니다. 이때
5
장에서 배운 텍
스트 분석 기법을 사용해
place
필드의 값을 파싱한 뒤 파싱된 위치 값을 기준으로 그룹을 나
눠봅시다.
split
_
part
함수를 사용해
place
필드의 앞부분에서 자주 언급되는 방향 관련 텍
스트(
‘
near
the
east
coast
of
’
,
‘
100km
N
of
’
등)를 삭제하고 분석을 수행합니다.
SELECT
case
when
place
like
‘% of %’
then
split_part(place,’ of ‘,2)
else
place
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month, and much more.
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.
Head of Cybersecurity
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.
Field Engineer
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.
Data Platform Tech Lead
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.