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Data > Analyze data

Analyze data

These sections help you interpret the findings and visualizations created by DataRobot.

Topic Describes...
Data Quality Assessment Understand a dataset's Data Quality Assessment results, including the logic DataRobot applies to detect, and often repair, common data quality issues.
Post data ingest analysis (EDA1)
Feature details Interpret histograms, frequent values charts, and transformations.
EDA1 View summary statistics based on a sample of your data.
ESDA Interactively visualize, explore, and aggregate target, numeric, and categorical features on a map.
Fast EDA for large datasets Understand Fast Exploratory Data Analysis (EDA) for large datasets, and how to apply early target selection.
Over Time chart. Review time-aware visualizations of how a feature changes over time feature (time-aware only).
Post modeling analysis (EDA2)
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.
Feature Associations Interpret feature correlations.
Updated September 20, 2022
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