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SAS, Python, and R: A Cross-Reference Guide for Data Science

Overview

Welcome to the official GitHub repository for the book "SAS, Python, and R: A Cross-Reference Guide for Data Science" by James Gearheart. This repository contains all the code examples and resources referenced in the book, organized by chapter. Each chapter includes dedicated folders for SAS, Python, and R code, allowing readers to easily access and compare implementations across these three powerful programming languages.

Repository Structure

The repository is organized as follows:

  • Chapter_01
    • SAS_Code
    • Python_Code
    • R_Code
  • Chapter_02
    • SAS_Code
    • Python_Code
    • R_Code
  • Chapter_03
    • SAS_Code
    • Python_Code
    • R_Code ...

Contents

  • Chapter_X (Chapter Title):
    • SAS_Code: Contains all SAS scripts referenced in Chapter X.
    • Python_Code: Contains all Python scripts referenced in Chapter X.
    • R_Code: Contains all R scripts referenced in Chapter X.

Each folder within the chapters contains the code used in the book, allowing you to follow along with the examples, experiment with the code, and deepen your understanding of data science techniques across multiple languages.

How to Use This Repository

  1. Navigate to the Chapter: Start by selecting the chapter you’re working on.
  2. Choose Your Language: Within each chapter, choose the programming language you’re working with (SAS, Python, or R).
  3. Run the Code: Download or clone the repository to your local machine, and run the code in your preferred Integrated Development Environment (IDE).

Additional Resources

For further learning, additional resources, and continuous updates, please refer to the appendices of the book.

Contributing

If you find any issues or have suggestions for improvements, please feel free to submit an issue or a pull request. Contributions are always welcome!

License

This project is licensed under the MIT License - see the LICENSE file for details.

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Code and data repository for the book: SAS, Python and R: A Cross-Reference Guide

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