Data Quality
Missing value analysis, outlier detection, duplicate identification, and completeness scoring — all run automatically on upload.
How it works
Upload Your Data
Upload a CSV or Excel file — quality scanning starts automatically.
Automatic Quality Scan
Every column is assessed for completeness, duplicates, and outliers.
Review Scores
See per-column and overall quality scores on the Datasets page and within Insights.
Findings in Mind Map
Data integrity findings appear as nodes in the Insights mind map with severity and recommendations.
Key capabilities
Completeness Scoring
Per-column completeness percentages showing how much data is present vs missing.
Duplicate Detection
Identify and flag duplicate rows across the entire dataset.
Outlier Identification
Statistical detection of outlier values in numeric columns using standard deviation thresholds.
Missing Value Analysis
Detailed breakdown of missing values with patterns and distribution across columns.
Know your data quality instantly
Upload a dataset — quality scores appear automatically.