Data Quality Scorecard Generator

Rapidly assess your dataset health with our Data Quality Scorecard Generator. Upload or paste CSV and JSON data to instantly receive comprehensive quality metrics including null value detection, duplicate row analysis, outlier identification, data type validation, completeness scoring, and uniqueness ratios. Perfect for data analysts, engineers, and BI consultants performing data validation before ETL pipelines or analytical projects.

Null Detection Duplicate Analysis Outlier Identification Data Type Validation Export Scorecard

Supported Formats

csv_analysis Detect 2,500 rows with 12% null values, 145 duplicates, quality score: 87%

data_types Auto-detect: Integer 45%, String 35%, Date 15%, Float 5%

quality_metrics Completeness 88%, Uniqueness 94%, Consistency 92%, Overall Score 91%

Drag & Drop Ready

Data Input

Paste Data (CSV or JSON)

CSV with headers or JSON array/objects. Max 10MB.

Or Upload File

Settings

Outlier Sensitivity

IQR = Interquartile Range method

Detect Outliers

Show Column Details

About

This tool analyzes your data quality in real-time, entirely in your browser. No data is sent to servers. Perfect for validating data before ETL pipelines or BI projects.

Data Quality Score

Overall Quality Score / 100

Key Metrics

Total Rows

Total Columns

Completeness

Uniqueness

Issues Detected

Null Values

Duplicate Rows

Outliers (Numeric)

Type Issues

Column Details

Export

No Analysis Yet

Paste or upload CSV/JSON data to generate a quality scorecard.

Help & Related Tools

Everything you need to know

FAQ Frequently Asked Questions

What metrics does the Data Quality Scorecard Generator analyze?

The tool analyzes null values, duplicate rows, outlier detection, data type consistency, missing values, completeness percentage, uniqueness ratio, and generates an overall quality score. It provides field-level statistics and distributes insights for each column in your dataset.

How do I use the Data Quality Scorecard Generator?

Simply paste your CSV or JSON data into the input area or upload a file. Click Analyze, and the tool instantly generates a comprehensive quality report with metrics, statistics, and recommendations. Results include null counts, duplicates, data types, and an overall quality score.

Can I use this for pre-ETL data validation?

Absolutely! This tool is perfect for validating data quality before ETL pipelines. Identify data issues like nulls, duplicates, and type inconsistencies early. Export the quality scorecard and use insights to define data cleaning rules in your pipeline.

What file formats are supported?

The tool supports CSV (comma-separated values) and JSON (both objects and arrays) formats. Files are processed entirely in your browser with no server upload required. Maximum file size is 10MB for optimal performance.

How are outliers detected and what are the limitations?

Outliers are detected using the Interquartile Range (IQR) method for numeric columns (values beyond 1.5×IQR). The tool detects numeric anomalies only; categorical outliers require manual review. All processing occurs client-side for privacy.