• rocket_launch Quickstart
    • Apply operations on text columns
    • Apply operations on numeric columns
    • Categorical Encoding - Best Practices with Real Datasets
    • Discretization - Transforming Continuous to Categorical
    • Feature Scaling for Machine Learning - Complete Guide
    • Handling Missing Values - Real-World Scenarios
    • Text Cleaning - Practical Examples with Real Datasets
    • Preprocess FIFA dataset
    • preprocess init
    • preprocess run
    • preprocess summary
    • preprocess diff
    • preprocess skim
    • preprocess version
    • Simple template
    • Numeric operations
    • Filling missing values
    • Scaling dataset
  • developer_guide Prepfile Reference Guide
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      • Home
      On this page
      • Welcome to Preprocess CLI
      • What is Preprocess CLI?
      • Key Features
      • Getting Started in 5 Minutes
        • Step 1: Install Preprocess CLI
        • Step 2: Verify Installation
        • Step 3: Explore Your Data
        • Step 4: Create Your First Prepfile
        • Step 5: Add Preprocessing Operations
        • Step 6: Run Your Pipeline
        • Step 7: Verify Results
      • Who Should Use Preprocess CLI?
        • Data Scientists
        • Data Analysts
        • Data Engineers
      • What Makes Preprocess CLI Special?
        • 1. Performance
        • 2. Simplicity
        • 3. Reproducibility
        • 4. Integration
      • Use Cases
        • Machine Learning Data Preparation
        • Data Cleaning Pipeline
        • Data Migration
      • Command Overview
      • Learning Path
        • For Beginners
        • For Intermediate Users
        • For Advanced Users
      • Community & Support
        • Documentation
        • GitHub
        • Get Help
      • Best Practices
        • 1. Start Simple
        • 2. Use Version Control
        • 3. Document Your Pipeline
        • 4. Verify Results
        • 5. Test Incrementally
        • 6. Share with Team
      • Common Questions
        • How does preprocess compare to Python/R?
        • Can I use preprocess with Python/R?
        • How do I handle large datasets?
        • Can I customize operations?
        • How do I debug my Prepfile?
      • Next Steps
      • Summary
      • Welcome to Preprocess CLI
      • What is Preprocess CLI?
      • Key Features
      • Getting Started in 5 Minutes
        • Step 1: Install Preprocess CLI
        • Step 2: Verify Installation
        • Step 3: Explore Your Data
        • Step 4: Create Your First Prepfile
        • Step 5: Add Preprocessing Operations
        • Step 6: Run Your Pipeline
        • Step 7: Verify Results
      • Who Should Use Preprocess CLI?
        • Data Scientists
        • Data Analysts
        • Data Engineers
      • What Makes Preprocess CLI Special?
        • 1. Performance
        • 2. Simplicity
        • 3. Reproducibility
        • 4. Integration
      • Use Cases
        • Machine Learning Data Preparation
        • Data Cleaning Pipeline
        • Data Migration
      • Command Overview
      • Learning Path
        • For Beginners
        • For Intermediate Users
        • For Advanced Users
      • Community & Support
        • Documentation
        • GitHub
        • Get Help
      • Best Practices
        • 1. Start Simple
        • 2. Use Version Control
        • 3. Document Your Pipeline
        • 4. Verify Results
        • 5. Test Incrementally
        • 6. Share with Team
      • Common Questions
        • How does preprocess compare to Python/R?
        • Can I use preprocess with Python/R?
        • How do I handle large datasets?
        • Can I customize operations?
        • How do I debug my Prepfile?
      • Next Steps
      • Summary

      Preprocess CLI Documentation

      rocket_launch

      Quickstart

      A quickstart guide to install preprocess

      view_timeline folder

      Practical Examples

      Learn preprocess CLI through real-world examples

      folder folder

      Command Reference

      Complete guide to all preprocess CLI commands

      pattern folder

      Prepfile Templates

      Ready-to-use templates for common preprocessing scenarios

      component_exchange folder

      Operations

      Document operations

      developer_guide

      Prepfile Reference Guide

      Complete reference of all Prepfile configuration options