# Auto Data Analyzer

> Automated data analysis tool - Input CSV/Excel data and automatically generate comprehensive analysis reports. Includes data cleaning, statistical description, visualization, correlation analysis, and regression analysis. Ideal for rapid data analysis needs.

- Skill: `luokai0/auto-data-analyzer` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add luokai0/auto-data-analyzer`
- Raw SKILL.md: https://api.skillmd.com/api/skills/luokai0/auto-data-analyzer/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Data & Analytics
- Author: luokai0 (https://skillmd.com/u/luokai0)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/luokai0/auto-data-analyzer

---


# auto-data-analyzer

Automated data analysis tool that generates comprehensive reports from input data.

## Features

### 1. Data Cleaning
- Missing value detection and handling
- Outlier detection
- Data type conversion
- Duplicate value handling

### 2. Statistical Description
- Basic statistics (mean, median, standard deviation, etc.)
- Quantile analysis
- Distribution visualization

### 3. Visualization
- Histograms
- Box plots
- Scatter plots
- Heatmaps

### 4. Advanced Analysis
- Correlation analysis
- Regression analysis
- Clustering analysis
- Time series analysis

## Usage

### Installation
```bash
pip install pandas numpy matplotlib seaborn scikit-learn
```

### Basic Usage
```python
from analyzer import DataAnalyzer

analyzer = DataAnalyzer('data.csv')
analyzer.clean()
analyzer.describe()
analyzer.visualize()
analyzer.report()  # Generate HTML report
```

### Command Line
```bash
python main.py data.csv --output report.html
```

## Output

- HTML analysis report
- PNG charts
- CSV statistical results

## Use Cases

- Business data analysis
- Market research reports
- User behavior analysis
- Sales data analysis