These sections help you interpret the findings and visualizations created by DataRobot.
|Data Quality Assessment||Interpret a dataset's Data Quality Assessment results.|
|Data quality checks||Read descriptions of each data quality check, as well as 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
|Feature Associations||Interpret feature correlations.|
Updated September 20, 2023
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