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()  # Generate HTML 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