Data Profiler

Analyze your data structure, quality, and patterns. Get comprehensive insights about field types, distributions, null values, and data quality metrics for ETL and data analysis workflows.

Data Input

Understanding Your Data Profile

Quality Metrics:

  • • Completeness: Percentage of non-null values
  • • Validity: Values matching expected patterns
  • • Consistency: Type consistency across records
  • • Overall Score: Combined quality assessment

Field Analysis:

  • • Type Detection: Automatic data type inference
  • • Null Percentage: Missing value analysis
  • • Uniqueness: Cardinality of field values
  • • Patterns: Email, phone, URL detection