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πŸ¦€ ClawHub

Auto Data Analyzer

by @jason-aka-chen

Automated data analysis tool - Input CSV/Excel data and automatically generate comprehensive analysis reports. Includes data cleaning, statistical descriptio...

Versionv1.0.0
Downloads705
TERMINAL
clawhub install auto-data-analyzer-chen

πŸ“– About This Skill


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() # 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
  • ⚑ When to Use

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

    πŸ’‘ Examples

    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