Become a R Shiny Ninja

Build a simple shiny app by setting up basic ui elements like title panel, sidebar panel, and main body, then incorporate charts, dropdowns, inputs, and a customization package.

Structure a Shiny app using a fluid page with title, sidebar, and main panels. Review defining global elements, loading packages, building a dataset, and adding styled text and hyperlinks.

Link a species dropdown to a reactive output in a shiny app, updating the average value via subset data.

Learn to build cleaner, more professional Shiny apps by using the Shiny dashboard package to structure UI with a sidebar and dashboard body, leveraging inbuilt functionality.

Build a simple shiny app by arranging basic ui elements—title panel, sidebar, and main body—and adding charts and dropdowns. Define inputs and explore restructuring with a customization package.

Learn to build reactive Shiny apps using slider inputs, including range sliders, and display results with text and data tables, while organizing the interface with fluid rows and columns.

Structure widgets in a Shiny app by using radio buttons and check boxes to filter data, wiring inputs to server functions, and applying unique choices, labels, and defaults.

learn how to speed up shiny apps by using server-side processing for large dropdowns, implement dependent dropdowns, and upload datasets with flexible file inputs.

Learn to add info boxes and value boxes to a Shiny app, using sidebar widgets to display key data with skin color, Times New Roman fonts, icons, and external links.

Learn to implement action buttons in a Shiny app and trigger submissions that reveal dynamic boxes, using observeEvent and eventReactive for responsive UI updates.

Explore datatables and data download within a Shiny dashboard, and get a glimpse of upcoming advanced topics and automation in your R Shiny workflow.

Create multiple views in a single shiny dashboard and add a menu and notification banner. Learn to use packages for custom control while exploring conditional dashboards, maps, and lighting packages.

Learn to use conditional panels and tabs to update the main banner, body, and sidebar based on tab selection and input data in a Shiny app.

Explore creating and rendering dynamic and static notification, message, and task menus in Shiny, using dropdown menus and code-driven updates.

Explore building basic dashboards in R Shiny using fluid row and column layouts, add widgets and maps, debug in the browser, and refine your Shiny projects for scale.