GOD동하님의 블로그

[Big Data Analysis] EDA - Garbage In Garbage Out 으로 쓰레기 데이터가 들어가면 쓰레기 데이터가 나옴 자료를 활용하기 전에 주요 통계량 요약하고 그래프를 통해 시각적으로 파악해본다. 이게 젤 중요 EDA 방법 - 기술통계, 시각화 [기술통계] Measures of Central Tendency (중심경향값, 대표값) - 분포의 중심을 찾음 - Mean, Median, Mode, Quartile Dispersion (산포도) - 분포의 퍼짐 정도 - Variance, Min, Max, Range, Standard Deviation, Standard Error, Coefficient... Distribution (분포도) - 분포의 모양 - Kurtosis (첨도) . ..

Q. How many ReplicaSets exist on the system? A. kubectl get replicaset 결과 Q. How many PODs are DESIRED in the new-replica-set A. kubectl get replicaset -> 4 Q. What is the image used to create the pods in the new-replica-set? A. kubectl describe replicaset Q. How many PODs are READY in the new-replica-set A. kubectl get replicaset Q. Why do you think the PODs are not ready A. kubectl describe po..

Q. Create a new pod with the NGINX image A. kubectl run nginx --image=nginx 결과 Q. How many pods are created now? A. kubectl get pods 결과 Q. What is the image used to create the new pods? A. kubectl get pods -o wide A. kubectl describe pod newpods Q. Which nodes are these pods placed on? A. kubectl describe pod newpods Q. What images are used in the new 'webapp' pod? A. kubectl describe pod webapp..