GREEN Pro

GREEN Pro is a professional, offline desktop application for data quality assessment, cleaning, visualization, dataset comparison, and reporting.
It is built for data scientists, analysts, and researchers who need a reliable and fully local tool for CSV-based data analysis.

GREEN Pro is a standalone Python desktop application designed to support the full lifecycle of exploratory data analysis (EDA) and data quality assurance for CSV datasets.

All processing is performed locally. No data is uploaded or sent to external services.

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Overview

The tool focuses on:

• Data health diagnostics
• Robust data cleaning pipelines
• Flexible plotting and correlation analysis
• Dataset comparison and drift detection
• Professional HTML report generation

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Features

📊 Data Health Scoring

• Missing values analysis
• Duplicate detection
• Outlier detection (robust MAD-based method)
• Skewness detection
• Interpretable quality score (0–100)

🧹 Cleaning Pipeline

• Duplicate row removal
• Missing value handling (drop, mean, median, mode)
• Numeric type coercion
• Winsorization for numeric outliers
• Preview before activation
• Export cleaned dataset as CSV

📈 Visualization & Plots

• Scatter, Line, Histogram, Box, Bar, and Violin plots
• Scatter matrix for multivariate inspection
• Advanced correlation matrix:
  • Pearson / Spearman / Kendall methods
  • Absolute correlation option
  • Top-K variable filtering
  • Target-based sorting
  • Clustered correlation (optional)
  • Adaptive sizing and styling

🔍 Dataset Comparison (A/B)

• Schema changes (added / removed columns)
• Missingness drift analysis
• Numeric mean and variance drift

📝 Professional Reporting

• Export clean and self-contained HTML reports
• Includes:
  • Data health summary
  • Detected issues
  • Recommendations
  • Top correlations
  • Cleaning log
  • Dataset comparison results

🖥️ Desktop & Offline

• Tkinter-based graphical user interface
• No internet connection required
• Cross-platform support (Windows / Linux / macOS)

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Architecture

GREEN Pro follows a modular and extensible architecture:

• UI Layer (Tkinter)
• State Management Layer
• Data Controller
• Analysis Engines:
  • Profile Engine
  • Cleaning Engine
  • Compare Engine
  • Report Engine
• Visualization Layer (Matplotlib)

All long-running operations are executed in background threads to keep the UI responsive.

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Technology Stack

• Python 3.9+
• Tkinter (GUI)
• Pandas (data processing)
• Matplotlib (visualization)
• NumPy (numerical operations)
• SciPy (optional, for correlation clustering)

No external services or cloud dependencies are used.

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Installation

Application Preview

1. Clone the repository

git clone https://github.com/AliRezaKhatibi/GREEN-Pro
cd green-pro

2. Install dependencies

pip install pandas matplotlib numpy scipy

3. Run the application

python green_app_pro.py