Preparing Predictive Scenario Output Datasets
After completing this lesson, you will be able to:After completing this lesson, you will be able to:
- Prepare predictive scenario output datasets to create an R visualization
Visualizing Output Data Generated by a Classification or Regression Predictive Scenario
There are three ways to create visualizations using output data generated from a classification or regression predictive scenario.
1. Consume the generated predictions in a story.
To create R visualizations using your output dataset in a story, you must ensure that the following is kept in the dataset:
- The application data set variables, if these variables are not available from another source
- The predictions
- The key variable(s)
You can then upload the output data set directly in a story.
Once you check that the relevant information is in the dataset, you can create your story. This creates an embedded model in a story.
2. Combine existing data with the generated predictions and consuming them in a story.
It's also possible to add new data to a previously created prediction. To do this, you must keep the following information in your output dataset:
- The predictions
- The key variable(s)
Using the key variable, or variables, you can blend the predictions with other data sources in a story.
3. Import the output data set in SAP Analytics Cloud models.
You can create a model using the output dataset to create a story. From the story, you can create your R visualization.
Visualizing Output Data Generated by a Time Series Predictive Scenario
There are three ways to create visualizations using output data generated from a time series predictive scenario:
1. Consume your output data set in a story.
- To consume your output data set in a story, you need the forecasts.
- The date and signal are selected automatically.
Once you check that the relevant information is in the dataset, you can create your story. This creates an embedded model in a story.
2. Combine existing data with the generated predictions and consuming them in a story.
- To combine existing data with your predictions, you need the forecasts in your output data set
- The date and signal are selected automatically
- Using the date variable, you can blend the predictions with other data sources, in the context of a story
3. Import the output data set in SAP Analytics Cloud models.
You can first use the output data set to create a model and then consume it in a story.
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