Data Management

The goal of Data Management is to help authors stay organized with multiple data files. It offers tools for working with data and checking it. Click a tile below to learn more:

Version Control

Keep track of file revisions. Stage, revert.

Diff Tools

View differences between files or file revisions.

Staging Slots

Thoroughly test new data before live deployment.

Inspection

Inspect data cells to understand data and notice anomolies

Data Flows

Create automated data processing workflows

Dimensionality

Elegantly handle looping and matrix questions.

Dependencies

Know exactly where every dataset and var is used.

Tests

Automated test to ensure greater confidence across revisions.