Reference | Right panel navigation#

In Dataiku, datasets and recipes together make up the Flow of any project. On the right side of the Flow is a collapsible panel packed with more functionality than you may be aware of.

The Right Panel is contextual. Its content responds to what kind of object is selected from the Flow.

Actions tab#

The most important tab is the Actions tab. With a dataset selected, you can find controls for building, exporting, or sharing the dataset, or initiating a Lab analysis. You can start visual, code, or plugin recipes. Or perform other actions such as changing a connection.

Screenshot of the Actions tab options for a dataset.

Selecting a different kind of object changes the functionality found in the Actions tab. With a recipe selected, you can now find actions such as editing the recipe or changing the engine.

Screenshot of the Actions tab options for a recipe.

With a machine learning model selected, you can retrain, share, or publish the model. You can also initiate a Score recipe to make predictions on new data with the model, or start an Evalute recipe to see how the model performs on already-known data.

Screenshot of the Actions tab options for a model.

Details tab#

Beneath the Actions tab, the Details tab shows metadata about the object, such as its creation and modification dates. For a dataset, this tab will highlight the parent recipe and any associated Labs or Charts, along with the size and number of records.

Screenshot of the Details tab information for a dataset.

For a recipe, this tab also shows the corresponding input and output datasets. For some recipes, including Group, Prepare, Join, and Stack, the Details tab also shows a summary of actions completed in the recipe.

Screenshot of the Details tab summary for a recipe.

Schema tab#

For a dataset, the Schema tab provides a list of all columns and their storage types.

Screenshot of the Schema tab for a dataset.

Data quality tab#

For datasets with data quality rules set up, the Data quality tab provides a list of the rules and their current statuses – Error, Warning, OK, Empty, or Not Computed. From this tab, you can also compute or edit data quality rules, or toggle dataset monitoring on or off.

Screenshot of the Data quality tab for a dataset.

Discussions tab#

The Discussions tab shows any existing discussions attached to the object, and lets you start a new one.

Screenshot of the Discussions tab.

Lab tab#

For datasets, you can navigate to the Lab tab to start a visual machine learning task or start a new code notebook.

Screenshot of the Lab tab options for a dataset.

Timeline tab#

The Timeline tab shows the date and time of actions made on objects, along with the user who took the action.

Screenshot of the Timeline tab information for a model training session.