Analyze data¶

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

Topic	Describes...
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 `N/A`.
Feature Associations	Interpret feature correlations.

Was this page helpful?