Preparing predictive scenario output datasets

To create R visualizations using your output dataset in a story, you need to 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.

It is also possible to add new data to a previously created prediction. To do this, you need to keep the following information in your output dataset:

• The predictions
• The key variable(s)

Using the key variable(s), you can blend the predictions with other data sources in a story.

You can create a model using the output dataset to create a story. From the story, you can create your R visualization.

• 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.

• 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

You can first use the output data set to create a model and then consume it in a story.