Open-DQI Audit Playground

Deterministic, in-browser Data Quality Index evaluation. Upload any CSV tabular dataset to inspect Completeness, Validity, Uniqueness, and Outlier fences with zero server egress.

Complete Privacy Guarantee: 100% Client-side. Your dataset never leaves your browser. All statistical checks execute locally on your machine.

Use Cases & How Open-DQI Evaluates Any Tabular CSV

Show Guide

Does Open-DQI discriminate columns? No! Open-DQI is column-agnostic. It does not require specific column headers:

1. Completeness (25%) Evaluates 100% of all columns in your dataset. Flags empty strings, null, NaN, None, and placeholder characters (-, n/a).

2. Validity (35%) Auto-detects semantic patterns: emails (@), international phones (+234, +254), GPS bounds, dates, and flags non-numeric values in numeric columns.

3. Uniqueness (25%) If an ID column exists (id, nin, code), it checks for key collisions. If not, it compares the full row tuple to detect identical duplicates.

4. Outliers (15%) Applies Tukey IQR fences ($Q_1 - 1.5\text{IQR}, Q_3 + 1.5\text{IQR}$) across all detected numeric fields (e.g. income, farm size, age, revenue).

Upload Tabular CSV or Audit Pre-loaded Benchmarks

Works with any tabular schema (agriculture, credit scoring, voters, sales, logistics).

Click to upload or drag & drop ANY tabular CSV file

Auto-detects data types, checks missing values, validates formatting, and detects Tukey IQR anomalies

Benchmarks:

        Source: synthetic_clean_agri.csv
      

Open-DQI Audit Playground

Upload Tabular CSV or Audit Pre-loaded Benchmarks

Audit Issue Inspector (0 defects flagged)