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Delve into building a personal website using R. Learn about GitHub, Hugo, Netlify, and Google Analytics to customize and launch your site effortlessly.

Launching a personal website_ blog_ or portfolio using R-01.png

rwebsite.tar.gz

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Exercise

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R is one of the major programming languages for working with big data. This course will walk you through building a personal website using R.

To create a website, you don’t need any prior web development experience. This course will introduce you to various freely available tools, including GitHub, Hugo, Netlify, and Google Analytics. This course teaches you how to use R to create a comprehensive website utilizing these tools. You’ll be able to modify a theme and personalize it according to your needs.

By the end of this course, you’ll be able to build a personal website, blog, or portfolio using R.

Launching a Personal Website Using R

# Summary: Building websites in R
In this course, we've learned how to:
* Create an R website using a standard Hugo theme.
* Deploy our website for free using GitHub and Netlify authorization.
* Make edits to the website to personalize its look and feel while adding configurations based on our requirements. 
* Use the "Posts" feature in R websites to add original content, technical or otherwise, using R Markdown.
* Integrate Formspree for contact forms and Google Analytics for analyzing user data.

# Next steps for our website
Despite the wealth of information in this course, it does not (and cannot) cover all possible topics and ideas relevant to the subject. First, this course recommends several Hugo themes. Yet we only used a single theme to explain and implement concepts. Second, the number of edits that can be applied to any website design is infinite. Yet, we implemented a small, finite number of edits. We suspect many readers will want to venture beyond the scope of this course and pursue topics that were not discussed.

There are numerous resources to learn more about the methodology. We can explore the following tools and frameworks:
* [blogdown](https://bookdown.org/yihui/blogdown/)
* [R Markdown](https://rmarkdown.rstudio.com/articles.html)
* [googleAnalyticsR](https://code.markedmondson.me/googleAnalyticsR/)
* [Hugo](https://gohugo.io/documentation/)
* [Netlify](https://docs.netlify.com/)
* [Formspree](https://formspree.io/formbutton/docs/)

See what we've learned and what we can build after finishing this course.

Conclusion

Getting Started

Creating and Deploying the Website

Personalizing the Website

Wrapping Up

Appendix

Conclusion

Summary: Building websites in R