Data Management & Editing · TOOL GUIDE

Data Quality Assessment

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Understand the method. Use it with confidence.

Comprehensive check for missing values, duplicates, and quality issues. Quantly runs the method against your active analysis context and returns structured results for review and interpretation.

01

When to use it

Use this tool while preparing an analysis-ready dataset or correcting a known data issue.
Use it only when the selected variables and study design match the method's requirements.

02

How to use it

  1. Open the tool from the Quantly Tools panel.
  2. Confirm the active dataset and analysis session.
  3. Set Check Missing Values (Optional): Set check missing values.
  4. Set Check Duplicate Rows (Optional): Set check duplicate rows.
  5. Set Check for Outliers (Numeric Columns) (Optional): Set check for outliers (numeric columns).
  6. Set Check for Low Variance Columns (Optional): Set check for low variance columns.
  7. Review optional or advanced settings and keep defaults unless your design requires a change.
  8. Run the tool, inspect warnings and diagnostics, then save or export the result with its assumptions.
03

How to interpret results

Confirm the affected rows and columns before saving. Review the output dataset and warning counts; transformations change data rather than proving a statistical conclusion.