| 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
pip install pandas numpy matplotlib seaborn scikit-learn
Basic Usage
from analyzer import DataAnalyzer
analyzer = DataAnalyzer('data.csv')
analyzer.clean()
analyzer.describe()
analyzer.visualize()
analyzer.report()
Command Line
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
