Check salaries for unexplained pay gaps

Help me run a pay equity check on our salary data. Data: [PASTE or describe columns - job title, job level/grade, job family, location, base pay, hire date, time in role, performance rating, and gender / race-ethnicity or other groups where lawfully collected] Pay ranges by level (if any): [RANGES] Groups to compare: [e.g. men vs. women, by ethnicity] Population size: [NUMBER] Do this: 1. Group comparable roles - same job family, level, and location. Tell me where groups are too small to compare (under 5). 2. Raw gap by group overall and within each comparable group. 3. Adjusted view - explain how much of the gap legitimate factors (level, tenure, location, performance) appear to account for. If the data supports it, outline a regression approach and the code (Python or Excel steps) to run it; do not fabricate results. 4. Individual outliers - people paid below range or notably below peers with similar factors, regardless of group. 5. Root-cause questions - starting salaries, promotion timing, negotiation, inconsistent off-cycle raises. 6. Remediation options with an estimated cost formula and prioritization. Output: summary for leadership, a findings table, and a list of outliers to review. Treat results as a starting point; confirm methodology and any legal privilege considerations with counsel, and follow local pay equity and data protection rules.