<h2>Overview</h2>
<p>The blogdown package is designed to provide a customizable website output format for R Markdown. It allows users to create webpages featuring dynamic R code, automatically rendered output, and technical writing elements. The package uses Hugo, a popular open-source static website generator, to build the website content and supports other generators like Jekyll and Hexo. One useful feature of blogdown is the ability to organize website content within subdirectories, making it suitable for creating general-purpose websites related to data science, statistics, data visualization, programming, or education.</p>
<h2>Features</h2>
<ul>
<li>Powerful and customizable website output format for R Markdown</li>
<li>Supports R code and other programming languages</li>
<li>Automatically renders output such as graphics, tables, analysis results, and HTML widgets</li>
<li>Includes technical writing elements like citations, footnotes, and LaTeX math</li>
</ul>


<h2>Overview</h2>
<p>The bslib R package provides a modern UI toolkit for Shiny and RMarkdown based on Bootstrap. It allows for the creation of customizable Shiny dashboards and theming of Shiny apps and R Markdown documents. The package is designed to work with modern versions of Bootstrap and Bootswatch.</p>
<h2>Features</h2>
<ul>
<li>Creation of delightful and customizable Shiny dashboards</li>
<li>UI components that can also be used in other contexts, such as RMarkdown</li>
<li>Interactive real-time theming of Shiny apps</li>
<li>Use of modern versions of Bootstrap and Bootswatch</li>
</ul>
<h2>Summary</h2>


<h2>Overview</h2>
<p>The <code>htmltools</code> package is a tool for creating, manipulating, and writing HTML from R. It provides a way to customize the UI of Shiny or R Markdown projects by generating custom HTML, including JavaScript and CSS.</p>
<h2>Features</h2>
<ul>
<li><strong>Customizable UI</strong>: Easy customization of user interfaces using R code to generate custom HTML.</li>
<li><strong>Support for HTML Components</strong>: Foundation provided by <code>htmltools</code> allows other R packages like <code>htmlwidgets</code> and <code>crosstalk</code> to offer HTML components that users can manipulate and combine.</li>
<li><strong>Multiple Widgets Arrangement</strong>: Facilitates arranging various HTML widgets, such as <code>plotly</code> graphs, into a single static HTML webpage.</li>
<li><strong>tagQuery Functionality</strong>: Enables querying and manipulating the underlying HTML structure of components.</li>
</ul>
<h2>Summary</h2>


<h2>Overview:</h2>
<p>The Shiny Dashboard is a package in R that allows users to create interactive dashboards for data analysis and visualization. It provides a user-friendly interface and a wide range of customization options.</p>
<h2>Features:</h2>
<ul>
<li><strong>Interactive Dashboards</strong>: Create interactive dashboards with various data visualization elements such as charts, tables, and maps.</li>
<li><strong>Customizable Layout</strong>: Customize the layout of the dashboard by arranging different elements and choosing from various themes and color schemes.</li>
<li><strong>User Input Controls</strong>: Add user input controls such as sliders, dropdown menus, and checkboxes to allow users to interact with the data.</li>
<li><strong>Responsive Design</strong>: The dashboards created with Shiny Dashboard are mobile-friendly and can be easily accessed on different devices.</li>
<li><strong>Web Application Integration</strong>: Deploy the dashboards as web applications, allowing users to access and interact with the data remotely.</li>
<li><strong>Dynamic Data Updates</strong>: Automatically update the dashboard with new data or on user-triggered events to provide real-time insights.</li>
<li><strong>Integration with R Packages</strong>: Integrate Shiny Dashboard with other R packages to enhance the dashboard's functionality and incorporate advanced statistical analysis.</li>
<li><strong>User Authentication and Security</strong>: Implement user authentication and security measures to control access to the dashboard and protect sensitive data.</li>
</ul>


Rstudio

Blogdown

Bslib

Htmltools

Shinydashboard