Prepare learning data¶
The content in this section provides quick FAQ answers as well as task-based tutorials for achieving common data preparation and management tasks.
|Topic||Describes how to...|
|Import data to DataRobot||Learn guidelines for importing data, and walk through import methods using the DataRobot interface.|
|Manage data with the AI Catalog||Learn how to add data to the AI Catalog, including using Spark SQL to blend data from multiple data sources.|
|Assess data quality during EDA||Assess the quality of your data during each phase of Exploratory Data Analysis (EDA).|
|Work with feature lists||View the feature lists DataRobot builds and create your own custom feature lists.|
|Analyze features using histograms||Analyze the distribution of a feature's values and investigate outliers.|
|Analyze frequent values||Look into the values that appear most and least frequently for a feature.|
|Analyze feature associations||Use a Feature Association matrix to visualize feature relationships and clusters.|
|Enrich data using Feature Discovery||Join datasets to allow DataRobot to discover and engineer new features.|
Updated May 11, 2023
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