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https://github.com/dr-saad-la/r-distilled
R Programming Language distilled
https://github.com/dr-saad-la/r-distilled
data data-analysis learning programming-language r rlanguage rprogramming statistical-analysis
Last synced: 6 days ago
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R Programming Language distilled
- Host: GitHub
- URL: https://github.com/dr-saad-la/r-distilled
- Owner: dr-saad-la
- License: mit
- Created: 2024-06-15T18:50:49.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-06-15T22:04:42.000Z (5 months ago)
- Last Synced: 2024-06-16T22:38:58.076Z (5 months ago)
- Topics: data, data-analysis, learning, programming-language, r, rlanguage, rprogramming, statistical-analysis
- Language: Jupyter Notebook
- Homepage: https://dr-saad-la.github.io/R-distilled/
- Size: 2.17 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# R Programming Language Distilled
[](https://img.shields.io/badge/R-programming_distilled-green)
[](https://dr-saad-la.github.io/R-programming-distilled)
Welcome to *R Programming Language Distilled*, an online book designed to provide a comprehensive guide to mastering the R programming language. Whether you are a beginner looking to get started or an experienced programmer seeking to deepen your knowledge, this book offers valuable insights and practical examples to enhance your understanding of R.
This book is structured to cover a wide range of topics, from the basics of R syntax to advanced data analysis and visualization techniques. Each chapter is carefully crafted to ensure a smooth learning curve, providing clear explanations, code snippets, and real-world applications.
## What You Will Learn
- **Introduction to R**: Get started with the fundamentals of R, including installation, basic syntax, and data types.
- **Data Manipulation**: Learn how to manipulate and transform data using R's powerful packages like `dplyr` and `tidyr`.
- **Data Visualization**: Discover how to create stunning visualizations with `ggplot2` and other visualization libraries.
- **Statistical Analysis**: Explore the statistical capabilities of R for performing descriptive and inferential statistics.
- **Advanced Topics**: Delve into advanced topics such as machine learning, time series analysis, and interactive dashboards.
## How to Use This Book
This book is designed to be read online, providing interactive content and examples that you can run directly in your browser. Each chapter includes practical exercises and projects to reinforce your learning and help you apply what you’ve learned in real-world scenarios.
Feel free to navigate through the table of contents to explore different sections of the book. Whether you prefer to read sequentially or jump to specific topics of interest, this book is structured to accommodate your learning style.
## Contact
If you have any questions or feedback, please feel free to reach out.
**Email**: [[email protected]](mailto:[email protected])
## Copyright
© 2024 Dr. Saad Laouadi. All rights reserved.
Unauthorized use and/or duplication of this material without express and written permission from this site’s author and/or owner is strictly prohibited. Excerpts and links may be used, provided that full and clear credit is given to Dr. Saad Laouadi with appropriate and specific direction to the original content.