User Guide#

Complete guide to using ACRO for statistical disclosure control.

User Guide

Overview#

This user guide provides comprehensive documentation for using ACRO effectively in your research workflows.

Quick Navigation#

  • New Users: Start with the Examples section

  • Advanced Features: Explore custom disclosure checking

  • Integration: Check integration workflows in Examples

Key Topics#

Data Analysis#

  • Cross-tabulations - Safe table creation with disclosure control

  • Statistical modeling - Regression analysis with privacy protection

  • Summary statistics - Descriptive statistics with safety checks

  • Data visualization - Safe plotting and chart generation

Configuration#

  • Safety parameters - Customizing disclosure thresholds

  • Custom checks - Advanced safety rule configuration

Integration#

  • Python workflows - Jupyter notebook integration

  • R integration - Using ACRO-R package

  • Stata workflows - Statistical software integration

Best Practices#

  1. Always use suppress=True in production environments

  2. Review disclosure checks before finalizing outputs

  3. Use meaningful output names for better tracking

  4. Document your analysis workflow for reproducibility

  5. Test with sample data before running on sensitive data

Troubleshooting#

Common issues and solutions:

  • Import errors: Check Python environment and ACRO installation

  • Configuration issues: Verify YAML syntax and parameter values

  • Disclosure warnings: Review safety thresholds and data characteristics

  • Output problems: Check file permissions and directory structure

Getting Help#