Modeling Datasets

Objectives
After completing this lesson, you will be able to:

After completing this lesson, you will be able to:

  • Create a dataset

Datasets

A dataset is a simple collection of data, usually presented in a table. You can use a dataset as the basis for your story, and as a data source for Smart Predict.

Datasets are the first choice when you want to create story/ visualization quickly and do not want to get into structure definition, during data processing or when development does not demand IT governance.

When you create a story and import data from a file or other data source, but not from an existing saved model or dataset, that data is saved as an embedded dataset (also called a private dataset) within the story, and this dataset doesn't appear in the Files list.

Note
If the dataset has a column for time and it is set to a Date data type, then you can use the automatic time determination features in the story.

Here are some other modeling features that datasets support:

  • Geo Enrichment
  • Level-based hierarchies
  • Change dimensions to measures and vice versa
  • Aggregation type for measures
  • View and set data types by column

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