파이썬을 이용한 빅데이터 활용에 대한 연구

• 영문명: A Study on the Utilization of Big Data Using Python
• 발행기관: 한국산업기술융합학회(구. 산업기술교육훈련학회)
• 저자명: 박상정(Sang Jung Park)
• 간행물 정보: 『산업기술연구논문지』산업기술연구논문지 제23권 1호, 31~40쪽, 전체 10쪽
• 주제분류: 공학 > 공학일반
• 파일형태: PDF
• 발행일자: 2018.03.30

영문 초록

Recently, Internet use has increased and lives in the flood of information. This rapid increase in data is difficult to deal with in traditional processing methods, creating a new approach to dealing with Big Data processing, and being leveraged in a wide variety of fields. Public data has also been opened to the public, making it easier to organize and visualize data in sectors of society, enabling efficient and productive information. Python is a program language suitable for handling Big Data because it is highly readable and has a variety of modules and built-in functions that make Big Data processing and analysis easy. Since it is easy to access data about non expert and provides open-source packages for handling information in non-English languages like Korean, it is easy to obtain and visualize SNS data and visually.

목차

ABSTRACT

Ⅰ. 서론

Ⅱ. 플랫폼 환경

Ⅲ. 데이터 수집

Ⅳ. 데이터 분석 및 시각화

Ⅴ. 결론

참고문헌

키워드

데이터 분석 파이썬 빅데이터 소셜네트워크 Data Analysis Python Big Data SNS