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For Self-Managed AI Platform users running v11.1, see the self-managed platform documentation
Reference documentation > Data

Data

The following sections provide reference content that supports working with data and understanding data handling in DataRobot:

Topic Description
Connectivity in DataRobot Learn about connectivity across DataRobot, including what data sources are supported—both unstructured and structured as well as a list of allowed IPs.
EDA1 View summary statistics based on a sample of your data.
Automatic feature transformations Understand date-type feature transformations generated by DataRobot.
EDA2 View summary statistics based on the portion of the data used for EDA1, excluding rows that are also in the holdout data and rows where the target is N/A.
Data quality See details of the checks DataRobot runs for the potential data quality issues.
Asset states Understand the difference between various asset states and the meaning of the corresponding badges displayed in DataRobot.
Wrangle large Snowflake datasets Tips for improving interactivity and performance when wrangling large Snowflake datasets in Workbench.
Data augmentation methods Summarizes the various ways in which DataRobot augments datasets for different experiment types.
OCR for unstructured data Structure data sources to become AI-consumable for agentic workflows.