waferAnalyzer – Data Quality Tool for CSV, Excel, and JSON

waferAnalyzer is a powerful, client-side data quality analysis tool that helps you inspect and clean your datasets. It automatically detects column data types, identifies missing values, finds duplicate rows, spots outliers using IQR, and flags mixed data types. The tool generates a detailed quality report with a grade from A+ to D and provides actionable recommendations to improve your data.

Key features include: schema detection, missing value analysis, duplicate row detection, outlier detection, primary key detection, date format validation, case inconsistency detection, and business logic validation (e.g., Qty × Price = Total). All processing happens locally in your browser — no data is uploaded to any server.

waferAnalyzer supports CSV, Excel (XLSX / XLS), and JSON files. It's perfect for data scientists, analysts, and anyone who needs to quickly assess the quality of a dataset before analysis or modeling.

• Data Profiling and Quality Assessment
• Missing Data Detection and Visualization
• Duplicate Row Identification
• Outlier Detection using IQR Method
• Mixed Type Detection in Columns
• Primary Key Recommendation
• Date Format Validation
• Case Inconsistency Detection
• Business Logic Validation
• Export Reports as Markdown or PDF

waferAnalyzer is completely free, open-source, and runs entirely in your browser. No sign-up, no data uploads, no server-side processing — your data stays private and secure.