formspree_endpoint

account_name

website_property_name

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

username

repository

email

Exercise

Exercise2

final website

github

ga_auth

content

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

**(Select all the apply)** Which of the following languages are supported in R Markdown?

(Select all the apply) Which of the following languages are supported in R Markdown?

Permanently edit the CSS properties of a website according to your preferences.

Make temporary changes in the CSS properties that are restored when refreshed.

What does the "inspect" tool in the browser allow you to do?

What does the “inspect” tool in the browser allow you to do?

What feature in the Hugo themes allows you to add original content?

What feature in the Hugo themes allows you to add original content?

The inclusion of the table of contents feature

Support for the integration and execution of R, Python, and SQL code within the document

**(Select all that apply)** What are the major differences between R Markdown and plain Markdown?

(Select all that apply) What are the major differences between R Markdown and plain Markdown?

Take this quiz to test yourself on websites in R.

Getting Started

Creating and Deploying the Website

Personalizing the Website

Wrapping Up

Appendix

Quiz: Websites in R