May 2022
Beginner to intermediate
448 pages
13h 7m
Korean
book
밑바닥부터 시작하는 데이터 과학 데이터 분석을 위한 파이썬 프로그래밍과 수학·통계 기초
by Joel Grus, Hangyeol Kim, Seongju Ha, Eunjung Park
Content preview from 밑바닥부터 시작하는 데이터 과학 데이터 분석을 위한 파이썬 프로그래밍과 수학·통계 기초
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Data Science
140
1
,
000
개의 트윗이 모이거나 오류가 발생할 때까지 코드가 작동할 것이다. 코드
가 멈추면 받아 온 트윗을 분석할 수 있다. 예를 들어 다음과 같이 가장 자주 사
용된 해시 태그를 찾아볼 수 있다.
top
_
hashtags = Counter(hashtag['text'].lower()
for tweet in tweets
for hashtag in tweet["entities"]["hashtags"])
print(top
_
hashtags.most
_
common(5))
불러온 트윗에는 많은 데이터가 포함되어 있다. 데이터를 직접 살펴보거나 트위
터
API
문서
12
를 참고하자.
예시가 아닌 실제 프로젝트를 진행할 때는 불러온 트윗을 인메모리(in-memory)인 리스트
에 저장하는 것을 추천하지 않는다. 먼저 파일이나 데이터베이스에 저장하여 보관하도록
하자.
9.6
더 공부해 보고 싶다면
·
pandas
13
는 데이터를 불러오고 만지기 위해 데이터 과학자들이 사용하는 기
본적인 라이브러리다.
·
Scrapy
14
는 모르는 링크를 따라가는 기능 같이 좀 더 복잡한 웹 스크래퍼를
만드는 데 필요한 모든 도구를 모아둔 라이브러리다.
· 캐글
15
은 방대한 양의 데이터셋을 공개하고 있다.
12
https://developer.twitter ...
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