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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