Preparing Predictive Scenario Output Datasets

Objectives

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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