Q&A 경영통계학
(R기초 수록)
저자: 김명석
출판사: (주) 교우
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2022 빅데이터 분석기사 필기
저자: 김진화, 김명석, 박성택, 박은미, 오명륜, 이성원, 정재림, 신지아
출판사: 광문각
Links for undergraduate circle
1. Insight
https://www.notion.so/f5e18d99663c4f47a767dbe29d5ec170
Links for Data
1. Kaggel dataset
https://www.kaggle.com/datasets
(open thru Chrome)
2. UCI repository dataset
https://archive.ics.uci.edu/ml/datasets/
3.Transportation Statistics
4. Energy Information (US)
5. 공공데이터포털(Korean Public Data)
6. 통계청(Korean Stat Dept.)
http://kostat.go.kr/portal/korea/index.action
7. 한국은행(Korean Bank Stat)
8. Car Sales
9. 국가에너지통계(Korea Energy Stat)
http://www.kesis.net/main/main.jsp
10. 환경부: 소비자환경정보
http://www.me.go.kr/home/web/index.do?menuId=10374
11. 신재생에너지(Renewable energy)
https://www.renewableenergy.or.kr/
12. 항공교통정보
https://www.koti.re.kr/slzs/artrtnMain.do
13. 국가교통DB
https://www.ktdb.go.kr/www/index.do
14. ICT 통계 (Korean ICT Statistics)
https://www.nia.or.kr/site/nia_kor/02/10202030100002016092709.jsp
15. OECD Statistics
16. Opinion Mining, Sentiment Analysis, and Opinion Spam Detection
https://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html
17. AI Hub
https://www.aihub.or.kr/open_data_board#
Webs for Scraping
1. Kickstarter (펀딩):
https://www.kickstarter.com/
2. Wadiz (펀딩):
https://www.wadiz.kr/web/wevent/startwithfunding?gclid=CjwKCAiAouD_BRBIEiwALhJH6FgkjVZ0jCTbzooOT0B8zgIQvZev1FLCAlSkBUkvXzt0326VQvhHHhoCsJYQAvD_BwE
3. 블라인드 지름 (쇼핑):
https://www.teamblind.com/kr/topics/%EC%A7%80%EB%A6%84%C2%B7%EC%87%BC%ED%95%91
4. EWG's skin deep (뷰티)
https://www.ewg.org/skindeep/
5. 특허정보넷 키프리스
http://www.kipris.or.kr/khome/main.jsp
6. 크립토커런시 마켓(가상화폐 정보)
https://kr.tradingview.com/markets/cryptocurrencies/prices-all/
7. USPTO (미국 특허/상표권)
https://www.uspto.gov/patents-application-process/search-patents
8. US SEC EDGAR (미국 증권협회 제공 기업 재무 텍스트 데이터): 기업회계부정 적발에 사용가능
https://www.sec.gov/edgar/searchedgar/accessing-edgar-data.htm
9. Movie review data
http://www.cs.cornell.edu/people/pabo/movie-review-data/
https://ai.stanford.edu/~amaas/data/sentiment/
10. 각종 review 데이터 (아마존 데이터 포함)
https://kavita-ganesan.com/user-review-datasets/#.X_qf1ugzaUk
https://s3.amazonaws.com/amazon-reviews-pds/readme.html
11. data.world (다양한 데이터 다운로드 사이트)
https://data.world/crowdflower/mcdonalds-review-sentiment