🧹 Data Cleaner Pro

in progress.. v.2.1.5

👋 Hi, I'm Simone [nutmegdev96] | Data Analyst

🛠️ Tools & Technologies

• Languages: Python, SQL, R
• Data Analysis: Pandas, NumPy, Scikit-learn
• Databases: MySQL, PostgreSQL, BigQuery
• Visualization: Matplotlib, Seaborn, Plotly
• Tools: Git, Docker, Airflow, Tableau

Professional data cleaning toolkit for everyday data analysis tasks.
A comprehensive Python library that makes data cleaning simple, efficient, and reproducible.

✨ Features

• 🔍 Smart Missing Value Handling: Auto-detect and impute missing values
• 📊 Outlier Detection & Treatment: Multiple methods (IQR, Z-score, Percentile)
• 🎯 Data Type Conversion: Automatic and manual type inference
• 🧼 Column Standardization: Consistent naming conventions
• 📈 Data Validation: Custom business rule validation
• 🚀 Performance Optimized: Efficient for large datasets
• 📚 Comprehensive Logging: Full audit trail of cleaning operations

📦 Installation

From PyPI (coming soon (MARCH2026))

pip install data-cleaner-pro-v2.0.0