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.
Scanned 9/10/2026
Install to Claude Code
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---
name: auto-data-analyzer
description: 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.
tags:
- data
- analysis
- report
- visualization
- automation
version: 1.0.0
author: chenq
---
# 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
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