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Creating R Visualizations in SAP Analytics Cloud | KO
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SAP Analytics Cloud에서 R 코드 시작
SAP Analytics Cloud에서 R 코드 시작
SAP Analytics Cloud의 R 소개
5 min
예측 시나리오 출력 데이터세트 준비
20 min
Quiz
SAP Analytics Cloud에서 R 코드 사용
SAP Analytics Cloud에서 R 코드 탐색
19 min
R 스크립트 편집기 사용
8 min
R 시각화 컴포넌트 사용
10 min
Quiz
SAP Analytics Cloud에서 R 시각화 생성
스토리에서 R 시각화 생성
30 min
스토리에서 고급 R 시각화 생성
45 min
Quiz
SAP Analytics Cloud에서 R 코드 시작
SAP Analytics Cloud의 R 소개
5 min
예측 시나리오 출력 데이터세트 준비
20 min
Quiz
SAP Analytics Cloud에서 R 코드 사용
SAP Analytics Cloud에서 R 코드 탐색
19 min
R 스크립트 편집기 사용
8 min
R 시각화 컴포넌트 사용
10 min
Quiz
SAP Analytics Cloud에서 R 시각화 생성
스토리에서 R 시각화 생성
30 min
스토리에서 고급 R 시각화 생성
45 min
Quiz
Knowledge quiz
It's time to put what you've learned to the test, get 4 right to pass this unit.
1.
Which of the following capabilities are available when you integrate R with SAP Analytics Cloud?
There are two correct answers.
You can use the R Shiny framework package from RStudio.
You can expand the visualization capability of SAP Analytics Cloud to tell even richer stories.
You can perform statistical analysis using a variety of techniques such as linear modeling, time series analysis, and clustering.
2.
You can import an output dataset created from a time series forecasting scenario into a SAP Analytics Cloud model and then consume it in a story.
Choose the correct answer.
True
False
3.
Which of the following components is required before starting to create an R visualization?
Choose the correct answer.
Input control
R code script
R server
Table structure
4.
Which of the following can you do when you use R in SAP Analytics Cloud?
There are three correct answers.
Insert R visualizations into your stories.
Build interactive web applications with R.
Interact with your visualizations, using controls such as filters.
Edit your R scripts and preview visualizations.
5.
If you are combining existing data with the generated predictions from a regression scenario, which of the following are essential information required in your output dataset?
There are two correct answers.
A date variable
The predictions
A key variable(s)