data-quality-analysis

What problem does it solve?

This Skill helps data teams quickly assess data quality against the ABS Data Quality Framework, producing a structured report that highlights gaps and guides remediation.

Core Features & Use Cases

• ABS-based evaluation: assesses seven dimensions (institutional environment, relevance, timeliness, accuracy, coherence, interpretability, accessibility) and generates a per-dimension rating.
• Column quality scorecard: computes completeness, validity, consistency, uniqueness, timeliness, and accuracy for each column with a summary score.
• End-to-end workflow: data ingestion, profiling, dimension assessment, and HTML report generation, including a co-located appendix and profiling code example.
• Use Case: auditors validating data readiness for governance reporting; data scientists preparing datasets for modeling; analysts producing quality declarations.

Quick Start

Run the data-quality-analysis skill on your dataset to generate a complete ABS Data Quality Framework report.