Dataset

This dataset was created by Sivasuryanarayan Krishnamoorthy

Released under CC0: Public Domain

Contents

Version of the titanic dataset used in ggEDA manuscript.Can be loaded from the datarium R package (datarium::titanic.raw). Originally published by the British Board of Trade in 1990. If you use, please cite:British Board of Trade. Report on the Loss of the ’Titanic’ (S.S.). Allan Sutton Publishing, Gloucester, UK, 1990. British Board of Trade Inquiry Report (reprint).Alboukadel Kassambara. datarium: Data Bank for Statistical Analysis and Visualization, 2019. URL https://CRAN.R-project.org/package=datarium. R package version 0.1.0.

Dataset

This dataset was created by Ankit Chambiyal

Contents

It contains the following files:

This dataset contains video products from R/V Akademik Mstislav Keldysh, HOV MIR I, and HOV MIR II during an assessment of the Titanic wreck site from 2003-06-22 to 2003-07-02.

As the leading ocean agency, and as per the Guidelines for Research, Exploration and Salvage of RMS Titanic, issued under the authority of the RMS Titanic Maritime Act of 1986, the National Oceanic and Atmospheric Agency (NOAA) has a vested interest in the appropriate treatment and preservation of the Titanic wreck site. NOAA supports continual scientific research of the wreck for the sake of advancing knowledge of in situ preservation and degradation rate. Throughout its endeavors with Titanic, NOAA intends to promote full participation with other federal agencies, and academic and research institutions with respect to exploration and research of the wreck site. An eleven-day cruise to the Titanic wreck site will be conducted aboard the Russian science vessel R/V Akademik Mstislav Keldysh in conjunction with Deep Ocean Expeditions (DOE). A majority of the cruise time will be allocated to Jim Cameron’s staff for filming purposes. However, NOAA Office of Ocean Exploration (OE) has acquired two days of operation time with use of the vessel’s MIR submersibles.

Studies were carried out mostly in the area of RMS Titanic wreck site (41°44'N, 49°57'W) located above the continental slope and the south of the Grand Banks of Newfoundland. In a period from 18.06 to 24.09.2001 five surveys of production characteristics of surface phytoplankton were conducted over 5-9 days. Mean values of these characteristics obtained during the surveys were 9.2-11.7 mg C/m3 per day for primary production (C_phs), 0.102-0.188 mg/m3 for chlorophyll a (C_chls), and 4.44-7.42 mg C/mg chl. a per hour for assimilation number (AN). The main reason for low C_phs variability was a significant inverse relationship (R=-0.66) between AN and C_chls found over the research area. When cold shelf waters dominated in the area (27.07 to 19.08.2001), C_chls values for the slope region (0.125+/-0.031 µg/l) and for the outer shelf (0.130+/-0.040 µg/l) were similar. During strengthening of influence of warmer slope waters within area (from 29.08 to 13.09.2001), C_chls concentration within surface waters of the outer shelf was 0.152+/-0.039 µg/l and exceeded one for the slope region (0.094+/-0.004 µg/l) by factor 1.6. Against the background of low Cchls values, the High values of integral primary production in the water column (510-1010 mg C/m**2 per day) at low C_chls values measured within the area were determined both by high assimilation activity of phytoplankton and by the deep (30-40 m) maximum of primary production. Main reasons for formation of such a maximum were high chlorophyll concentration within the layer of the deep chlorophyll maximum (up to 0.5-2.5 µg/l) and in the relatively high solar irradiance within this layer varying from 1.4 to 8.6% of subsurface PAR.

Analysis of ‘Big Data Certification KR’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/agileteam/bigdatacertificationkr on 12 November 2021.

--- Dataset description provided by original source is as follows ---

빅데이터 분석기사 실기 준비 놀이터

함께 놀아볼까요? 무궁화 꽃이 피었습니다 😜 빅데이터 분석기사 실기 준비를 위한 데이터 셋입니다. (예상 문제에 따라 업데이트 될 수 있음) 더 좋은 코드를 만든다면 많은 공유 부탁드려요🎉 (Python과 R모두 환영합니다.)

👋 Tasks👋

• 모의 문제에 대한 풀이를 제출(submit)해 공유하고 있어요!

작업형1 문제별 키워드

• T1. Exam Question (2nd round) / 기출 (2회차)
• T1. Exercise / 예시문제 (dataq 공식 예제)
• T1-1.Outlier(IQR) / #이상치 #IQR
• T1-2.Outlier(age) / #이상치 #소수점나이
• T1-3. Missing data / #결측치 #삭제 #중앙 #평균
• T1-4. Skewness and Kurtosis (Log Scale) / #왜도 #첨도 #로그스케일
• T1-5. Standard deviation / #표준편차
• T1-6. Groupby Sum / #결측치 #조건
• T1-7. Replace / #값변경 #조건 #최대값
• T1-8. Cumulative Sum / #누적합 #결측치 #보간
• T1-9. Standardization / #표준화 #중앙값
• T1-10. Yeo-Johnson and Box–Cox / #여존슨 #박스-콕스 #결측치 #최빈값
• T1-11. min-max scaling / #스케일링 #상하위값
• T1-12. top10-bottom10 / #그룹핑 #정렬 #상하위값
• T1-13. Correlation / #상관관계
• T1-14. Multi Index & Groupby / #멀티인덱스 #정렬 #인덱스리셋 #상위값
• T1-15. Slicing & Condition / #슬라이싱 #결측치 #중앙값 #조건
• T1-16. Variance / #분산 #결측치전후값차이

작업형2 데이터

• T2. Exam Question (2nd round) / 기출 (2회차) : E-Commerce Shipping Data
• T2. Exercise / 예시문제 : 백화점고객의 1년간 데이터 (dataq 공식 예제)
• T2-1. Titanic (classification) / 타이타닉
• T2-2. Pima Indians Diabetes (classification) / 당뇨병

6 주 완성 코스 (아래 표 참고)

👋 Code👋

• 활용방법 : 노트북(코드) 클릭 후 우측 상단에 'copy & edit' 하면 사용한 데이터 셋과 함께 노트북이 열려요!!
• 예시 문제 및 기출 유형 Tutorial
• 모의문제 출제 및 풀이 ("kim tae heon" 검색)
• 작업형1 : 'T1' 을 검색해주세요!
• 작업형2 : 'T2'를 검색해주세요!

👋 Discussion👋

• 필답형 예상문제 제출
• 작업형 예상문제 제출

응시환경 체험

https://goor.me/EvH8T

빅분기 실기 준비 가이드 (파이썬)

🔥 파이썬 🔥

• 파이썬 입문 강의 : https://youtu.be/dpwTOQri42s
• 파이썬 전자책 : https://wikidocs.net/book/6708

🔥 판다스 🔥

• 판다스 전자책 : https://wikidocs.net/book/4639

🔥 모의 문제 풀이 🔥

• 모의문제 풀이 강의 : https://youtube.com/playlist?list=PLSlDi2AkDv82Qv7B3WiWypQSFmOCb-G_-

⚡️필답형 준비⚡️

1. 예상문제 : https://www.kaggle.com/agileteam/bigdatacertificationkr/discussion/277013
2. 개념학습 : https://www.hira.or.kr/ebooksc/ebook_659/ebook_659_202109300534201190.pdf

함께 공부하며 성장했으면 해요!!!:)

안내 링크가 아닌 복사로 블로그 포스팅 또는 출판물 등에 사용하시면 안 됩니다. 본 자료에 대한 허가되지 않은 배포를 금지합니다.

--- Original source retains full ownership of the source dataset ---