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COB-EDA is a Python package designed to simplify exploratory data analysis with intuitive tools for statistics, visualizations, and insights discovery..

Project description

cob-eda

입력한 단어별 역대 대통령 연설 중 총 발언 횟수 출력 with Typer

$ cob-eda-akc 1번 2번 3번 4번

Ex) $ cob-eda-akc 자유 --no-asorde --howmay 3 --keyword-sum 
  • 1번: 찾을키워드 입력

  • 2번: --no-asorde (내림차순), --asorde(오름차순) ;기본값임

  • 3번: --howmany 정수 (상위 또는 하위의 '정수'명 을 출력 설정)

  • 4번: --keyword-sum

  • 예시 설명: 자유 총 발언횟수 상위 3명 출력

입력한 단어별 역대 대통령 발언 횟수 출력 with Typer

$ from cob_eda.cli import group_by_count
$ group_by_count()
----------------------------------------
$ cob-eda 1번 2번 3번
Ex) $ cob-eda 자유 False 5
  • group_by_count("1번",2번,3번)

  • 1번 입력: 검색 할 단어 입력 "str"값으로 입력해야합니다

  • 2번 입력: 내림차순:"False", 오름차순:"True" //둘 중 한가지만 입력해야 합니다.

  • 3번 입력: 상위 혹은 하위 몇 명 조회 할 것인지에 대한 정수입력

  • EX) group_by_count("경제", False, 5) => 경제 발언 최다 상위 5명 출력

  • EX) cob-eda 자유 False 5 => 경제 발언 최다 상위 5명 출력

입력한 단어별 역대 대통령 발언 횟수 출력 with input

$ from cob_eda.cli import psearch_by_count
$ psearch_by_count()
  • 검색할 키워드를 입력
  • 일치하는 단어가 있다면 내림차순으로 출력
  • 일치하지 않는다면 다시 입력창으로
  • 종료를 원한다면 '종료하겠습니다'를 입력

Dev

$ source .venv/bin/activate
$ pdm add pandas
$ pdm add -dG eda jupyterlab

EDA

  • $ jupyter lab

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