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NextGen experience > Data preparation > Explore data

Explore data

The Data tab lists all datasets and recipes currently linked to the selected Use Case. From this tab, you can manage your assets and launch various data actions:

Element Description
1 Add Data Click to open the Add data modal, allowing you to add datasets to the current Use Case.
2 Search Search for a specific dataset.
3 Asset type icons Each asset is preceded by one of the following icons:
  • : Indicates that the asset is a registered dataset.
  • : Indicates that the asset is a wrangling recipe.
4 Actions menu Click the Actions menu to interact with a data asset.
For datasets you can:
  • Edit dataset name: Rename the dataset.
  • Explore: View exploratory data insights and manage feature lists.
  • Wrangle/Continue Wrangling: Perform data wrangling on datasets retrieved from a data connection.
  • Feature Discovery: Perform Feature Discovery when working with two or more datasets.
  • Start modeling: Set up an experiment using the dataset.
  • Remove from Use Case: Remove the dataset from the Use Case, also removing access for any team members. The dataset is still available via the Data Registry.
For recipes you can:
  • Edit: Modify the wrangling recipe.
  • Clone: Create a duplicate entry of the wrangling recipe.
  • Remove from Use Case: Remove the recipe from the Use Case.
5 Sort Sort the dataset columns.

Preview

Support for dynamic datasets in Workbench is on by default.

When this feature is enabled:

  • Datasets added via a data connection will be registered as dynamic datasets in the Data Registry and Use Case.
  • Dynamic datasets added via a connection will be available for selection in the Data Registry.
  • DataRobot will pull a new live sample when viewing Exploratory Data Insights for dynamic datasets.

Feature flag: Enable Dynamic Datasets in Workbench

Data explore page

While a dataset is being registered in Workbench, DataRobot also performs exploratory data analysis (EDA1)—analyzing and profiling every feature to detect feature types, automatically transform date-type features, and assess feature quality. Once registration is complete, you can explore the information uncovered while computing EDA1.

To open the data explore page, click the Actions menu next to the dataset you want to view and select Explore. Alternatively, click the dataset name to view its insights.

Use the icons on the left to navigate between the following pages which provide summary information and EDA insights for the dataset:

Displays summary information for the dataset version you're currently viewing.

If the dataset you're viewing is the output of a published wrangling recipe, you can click Recipe SQL at the bottom of the page to view the final compiled form of the operations executed by the data source.

Displays a preview using a uniform random sampling of the selected dataset (see EDA insights for more information). If the dataset is dynamic, you can view an interactive sample, in which case DataRobot displays a random sampling of the raw data. You can specify the sampling method and number of rows in the right panel under Interactive sample. This option is not available for snapshot datasets.

Click on a feature's histogram to open an expanded version with additional insights and information.

Displays each feature within the selected feature list. Click on a feature to view additional information, including summary metrics and frequent values. The available insights are based on the variable type of the feature.

Displays all DataRobot and custom feature lists for the dataset. From here you can create new feature lists, as well as manage existing ones.

Dataset versioning

The data explore page supports dataset versioning, allowing you to access a history of data snapshots as well as create new snapshots from the same page. Note that you can can access dataset versioning from any view on the data explore page.

To access dataset versions, click the dropdown next to Data actions or open Dataset Versions in the right panel.

View dataset versioning in the data explore view.

  Element Description
1 Snapshot policy Displays the selected dataset version. If the snapshot version is selected, DataRobot displays the date and time of the snapshot creation. Click the dropdown to access the following:
  • Version history: An abbreviated version history that displays the dynamic dataset (live data) and most recent snapshot.
  • + Create snapshot: Creates a snapshot of the dataset you're viewing. After registration is complete, the new snapshot is listed as the latest version, and can also be accessed in the Use Case and Data Registry.
  • Select version: Opens Dataset Versions in the right panel.
2 Dataset Versions Displays a version history of the dataset. Click a dataset to view a different version.
3 + Create snapshot / Upload new version Allows you to add additional versions of the dataset, and after registration is complete, the new dataset is displayed in the version history. Additionally, it is added to the Use Case and Data Registry.
  • If the snapshot policy of the original dataset is dynamic or snapshot,the + Create snapshot button is available, which creates a snapshot of the dataset you're viewing.
  • If the original dataset is static (i.e., uploaded as a local file), the Upload new version button is available, which allows you to upload updated local versions of the dataset.
Data actions for snapshot policies

The data explore page supports the following snapshot policies:

  • Dynamic: DataRobot is connected to the data source and uses live data to perform the selected data action.
  • Snapshot: A fixed snapshot that is stored in DataRobot and used to perform the selected data action. This policy is recommended for repeatable experimentation if live data often changes.
  • Static: A local file used to perform the selected data action.

Dataset actions

You can perform the following actions on the data explore page (note that these actions persist no matter what view is currently selected):

Available dataset actions from the data explore view.

  Element Description
1 Dataset name To rename the dataset, click on its name. To save your changes, click outside of the text field.
2 Data actions Open the Data actions dropdown to perform one of the following actions with the dataset you're currently viewing:
  • Start wrangling: Perform data wrangling on the dataset. Only available for dynamic datasets.
  • Start modeling: Set up an experiment using the currently selected dataset version. By default, the latest version of the dataset is used.
  • Start feature discovery: Use Feature Discovery to perform multi-dataset, interaction-based feature creation
  • Download dataset: Download the dataset locally. Only available for snapshotted datasets.
  • Remove dataset: Remove the dataset from the Use Case. It will no longer be visible on the Data tab, however, it will be available in Data Registry and will not affect experiments created with the dataset.
3 Data Versions actions Under Dataset Versions, click the Actions menu to perform one of the following actions on a specific snapshot dataset:
  • Start modeling: Set up an experiment using this dataset.
  • Download dataset: Download the dataset locally. Only available for snapshotted datasets.
  • Delete: Removes the dataset from Version History, however, it will be available in Data Registry and will not affect experiments created with the dataset.

Next steps

From here, you can:

Updated January 15, 2025