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Creating R Visualizations in SAP Analytics Cloud | DE
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Erste Schritte mit R-Code in SAP Analytics Cloud
Erste Schritte mit R-Code in SAP Analytics Cloud
Einführung von R in SAP Analytics Cloud
5 min
Prognoseszenario-Ausgabedatensets vorbereiten
20 min
Quiz
Mit R-Code in SAP Analytics Cloud arbeiten
R-Code in SAP Analytics Cloud erkunden
19 min
Verwendung des R-Skript-Editors
8 min
Arbeiten mit R-Visualisierungskomponenten
10 min
Quiz
R-Visualisierungen in SAP Analytics Cloud anlegen
R-Visualisierung in einer Story anlegen
30 min
Erweiterte R-Visualisierung in einer Story anlegen
45 min
Quiz
Erste Schritte mit R-Code in SAP Analytics Cloud
Einführung von R in SAP Analytics Cloud
5 min
Prognoseszenario-Ausgabedatensets vorbereiten
20 min
Quiz
Mit R-Code in SAP Analytics Cloud arbeiten
R-Code in SAP Analytics Cloud erkunden
19 min
Verwendung des R-Skript-Editors
8 min
Arbeiten mit R-Visualisierungskomponenten
10 min
Quiz
R-Visualisierungen in SAP Analytics Cloud anlegen
R-Visualisierung in einer Story anlegen
30 min
Erweiterte R-Visualisierung in einer Story anlegen
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 components is required before starting to create an R visualization?
Choose the correct answer.
Input control
R code script
R server
Table structure
2.
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.
3.
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
4.
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)
5.
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.