STEP 1 · START
Choose / Upload Dataset
Choose the dataset you want to understand. Inspecting and profiling data stays in your browser; data is sent to the configured analytics API only when you explicitly run a validated analysis.
Choose your dataset
Drop CSV or Excel file hereor use Import CSV/XLSX above
KU2D trusted assetUse the separate header action to select one or more compatible
trusted-data-asset-v1 JSON snapshots. Draft assets remain inspectable only.Paste delimited data instead
No dataset loaded
Data preview
Import data to preview it here.
Dataset overview
Rows—
Fields—
Numeric storage—
Missing cells—
What happens next?
1. Load data
Preview the rows and confirm the dataset.
2. Understand the dataset
Review field roles, missingness, quality signals, and relationships.
3. Define the analytical question
KU Open DA will derive the analytical route from the question and target.
Preview the rows and confirm the dataset.
2. Understand the dataset
Review field roles, missingness, quality signals, and relationships.
3. Define the analytical question
KU Open DA will derive the analytical route from the question and target.
STEP 2 · DATA PROFILE
Understand the Dataset
Understand structure, quality, field meaning, and relationships before defining what you want the analysis to answer.
Rows—
Fields—
Numeric Scale fields—
Missing cells—
Explore a numeric field
Select a Scale variable.
Distribution
Analysis guidance
Import data first. The advisor will inspect measurement levels and suggest suitable analyses.
Field-by-field metadata
Review inferred storage and measurement levels. You can correct the measurement level before analysis.
Import data first.
Measurement level guidance
Nominal: categories without order.
Ordinal: ordered categories.
Scale: quantitative interval/ratio values where arithmetic differences are meaningful.
Ordinal: ordered categories.
Scale: quantitative interval/ratio values where arithmetic differences are meaningful.
Data Quality
Load a dataset to calculate quality checks.
Relationship Explorer
Choose two fields. The method is selected from their measurement types rather than forcing every relationship into a correlation matrix.
Select two fields and analyze their relationship.
Load a dataset to inspect text fields.
Advanced statistical tool