Overview
Our EDA engine runs advanced statistical profiling on your database tables to detect quality issues, null patterns, and distribution anomalies without lifting a finger.
Lightweight Profiling
We use efficient sampling (default 10k rows) to generate statistically significant insights without impacting production DB performance.
Privacy Preserving
Aggregates are calculated in-memory. Individual row data is discarded immediately after profiling.
Statistical Analysis
Column-Level Intelligence
Numeric Columns
- Min, Max, Mean, Median
- Standard Deviation
- Quartiles (25%, 50%, 75%)
- Outlier detection (IQR method)
Text Columns
- Unique value counts
- Most frequent values
- Length distribution
- Format consistency checks
Data Quality Metrics
Completeness
Percentage of non-null values. Spots columns that are mostly empty.
Uniqueness
Duplicate record detection and cardinality checks. Vital for Primary Key validation.
Validity
Regex-based format validation for emails, phone numbers, and zip codes.
Distribution
Skewness and kurtosis analysis to detect biased datasets.
Auto-Generated Visualizations
Sample Output Report
Col: age (INT)98.5% Complete
Min: 18Max: 84
Col: status (VARCHAR)4 Unique Values
Active
65%
Pending
20%
Suspended
10%
Archived
5%
DistributionCount
Visualizations are exported in the HTML report.
Common Use Cases
| Use Case | Benefit | Role |
|---|---|---|
| Migration Planning | Identify columns with bad data before moving them | Data Engineer |
| ML Feature Selection | Understand distributions and correlations | Data Scientist |
| Health Check | Monitor null rates over time | Data Steward |
| Debugging | Find duplicate IDs causing constraint failures | Developer |