Data Profiler

Overview

Comprehensive dataset quality assessment and analysis tool. Automatically detects column types, calculates missing data percentages, assesses cardinality, and provides statistical summaries. Get an overall quality score with actionable recommendations for data cleaning and preparation.

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Tips

  • Upload CSV data to get instant analysis across multiple dimensions
  • Quality score interpretation: 90-100% (Excellent), 70-89% (Good), 50-69% (Fair), <50% (Poor)
  • The tool automatically detects columns with high missing data (>20%) and empty columns
  • Review the Quality tab for actionable recommendations on data cleaning
  • Export the full report for documentation or sharing with stakeholders
  • Use this tool early in your analysis pipeline to identify data issues before modeling