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R Tutorials is a repository dedicated to sharing data science resources & tutorials using R, specifically focusing on the {tidyverse} ecosystem. This repo is perfect for those looking to learn R programming for the first time or enhance their existing R skills. Join us to explore the power of {tidyverse} & elevate your data science journey with R!

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R Tutorials: Master Data Science with R and the Tidyverse

R Tutorials is a repository dedicated to sharing data science resources and tutorials using R, specifically focusing on the {tidyverse} ecosystem. This repo is perfect for those looking to learn R programming for the first time or enhance their existing R skills. Join us to explore the power of {tidyverse} and elevate your data science journey with R!

Alierwai DataStudio

Welcome to the R Tutorials GitHub repository! This is your go-to resource for learning and mastering data science using the R programming language, with a primary focus on the Tidyverse collection of packages. This repository is designed for beginners taking their first steps into R programming and experienced users who want to enhance their R programming skills.

Repository Overview

We're redesigning this repostory to document ou Data Science with R tutorials in random order. Unlike before, we will not separate tutorials by level of difficulty.

Getting Started

To get started with the R Tutorials, follow these steps:

  1. Install the latest version of R from the official website.

  2. Install Positron, a next-generation data science IDE built by Posit PBC.

  3. Familiarize yourself with Positron by following this Introducing Positron, a New Data Science IDE.

  4. Clone or download this repository to your local machine.

  5. Open the relevant R script files (.R) or Quarto files (.Rmd) in Positron and start learning!

Contributing

We encourage contributions from the R community! If you'd like to contribute to this repository, please follow these steps:

  1. Fork the repository.

  2. Create a new branch with a descriptive name.

  3. Make your changes and commit them to your branch.

  4. Submit a pull request, describing the changes you made and the motivation behind them.

We appreciate any contributions, whether it's fixing typos, improving explanations, or adding new content.

License

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

Connect with the Author

If you have any questions, suggestions, or feedback, please feel free to reach out to me:

Happy learning, and enjoy your journey toward becoming an R and data science expert!

About

R Tutorials is a repository dedicated to sharing data science resources & tutorials using R, specifically focusing on the {tidyverse} ecosystem. This repo is perfect for those looking to learn R programming for the first time or enhance their existing R skills. Join us to explore the power of {tidyverse} & elevate your data science journey with R!

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