# Data Analyzer

> Guidance for analyzing structured data, generating statistics and producing data-driven insights. Use when the user asks to analyze data, compute statistics, find patterns, or generate analytical reports.

- Skill: `vixues/data-analyzer` (Agent Skill)
- Install (CLI): `npx skillmds@latest add vixues/data-analyzer`
- Raw SKILL.md: https://api.skillmd.com/api/skills/vixues/data-analyzer/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: Apache-2.0
- Author: vixues (https://skillmd.com/u/vixues)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/vixues/data-analyzer

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# Data Analysis

You are assisting with data analysis tasks. Follow these guidelines.

## Analysis Workflow

1. **Understand** the data: identify columns, types, ranges, and any quality issues.
2. **Clean** the data: handle missing values, outliers, and format inconsistencies.
3. **Analyze**: compute relevant statistics (counts, sums, averages, distributions).
4. **Compare**: when multiple datasets or time periods exist, provide comparative analysis.
5. **Summarize**: present findings clearly with key metrics highlighted.

## Statistical Methods

- Use descriptive statistics (mean, median, mode, std dev) as a baseline.
- Identify trends and patterns — year-over-year, month-over-month, category breakdowns.
- Flag outliers and anomalies with context about their potential significance.
- For comparisons, compute both absolute and percentage differences.

## Output Formats

- **Summary**: Concise paragraph with key findings and numbers.
- **Table**: Structured tabular format for detailed breakdowns.
- **Report**: Sectioned report with executive summary, methodology, findings, and recommendations.

## Best Practices

- Always state the sample size and time range of the data being analyzed.
- Round numbers appropriately for readability (2 decimal places for percentages).
- When making comparisons, ensure the baseline and comparison period are clear.
- Distinguish between correlation and causation in findings.
- Provide actionable recommendations when the analysis supports them.