Data Explorer¶

The Data Explorer is a powerful tool within the ML cube Platform that allows you to explore, visualize, and analyze your data. It provides a flexible interface to inspect your data samples, understand their properties, and support tasks such as model monitoring, drift understanding, and retraining.

The Data Explorer is designed to work with multiple data types, including tabular data, images, and text, offering tailored visualization and interaction capabilities for each of them.

You can navigate to the Data Explorer from your task's menu.

Overview¶

The Data Explorer is composed of multiple complementary sections, each designed to support a different aspect of data analysis:

• Explore Data: explore individual samples through tabular or gallery-based visualizations, enabling detailed inspection of data points and their associated metadata, predictions, and drift information.

• Dashboards: analyze data distributions and relationships through interactive visualizations, including univariate, bivariate, and time series plots, built on top of configurable data groups.

Together, these components allow you to move seamlessly from high-level distribution analysis to fine-grained sample inspection.