Before you build a shinydashboard, you will first need to understand what a shinyApp is. In this chapter, you will learn what a shinyApp is, and learn what goes into a shinyApp. At the end of this chapter, you will be able to render your own shinyApp.

Getting started with shiny apps

Parts of a shinyApp

An empty shinyApp

Types of input

Practicing sliderInput

Inserting multiple inputs

checkboxInput and checkboxGroupInput

Types of output

textOutput with interactions

Dropdown menus

Your first shinyApp

ShinyApps

In the previous chapter, you learned about shiny apps. In this chapter, you will realize that a shinydashboard is really just another shiny app but with more tweakable features. The same outputs and inputs discussed in the previous chapter can be used in exactly the same manner here. You will then learn to carry out some simple wire-framing for a dashboard, during which you can decide where to position outputs and inputs in the dashboard.

Components of a shinydashboard

Components of a shinydashboard UI

Your first (empty) dashboard

The header and sidebar

Options

dashboardHeader()

dashboardSidebar()

Header and sidebar functions

Setting a header

Setting a sidebar

The body

Wireframing with boxes

Wireframing

Your first shinydashboard

Helper functions

Header and side bar settings

The body, and completing the UI

Building your first dashboard

Basics of a shinydashboard

In this chapter, you will learn to further enhance your shinydashboard by inserting interactive elements. These will include graphs, geospatial maps, and tables that dashboard users can interact with in real-time.

Interactive plots with plotly

Creating your own plotly plots

Understanding plotly limitations

Geospatial maps with sf

Types of sf objects

sf plots with plot()

sf plots with ggplot

Geospatial maps with leaflet

Layers of a leaflet map

Creating your first leaflet map

Interactive elements in a shinydashboard

Creating some helper functions

Your first shinydashboard with interactive elements

Interactive plots and geospatial maps

Now that you are familiar with shinydashboard, we can now add design elements. We will be able to change background colors, modify box dimensions and so on. We will also discuss some basic principles of good UI/UX. Finally, we will show how statuses and CSS formatting can be utilized.

Good UI/UX practices

Understanding UI/UX principles

Wireframing with UI/UX principles

Statuses, colors and skins

Setting statuses

Setting colors

Changing shinydashboard skins

Customization with CSS formatting

Good UI/UX practices and a warm-up

Statuses and completing the UI

Customize your shinydashboard with CSS

Wrap-up

Adding design elements and improving UI/UX

Learn to create an interactive dashboard using the shinydashboard package in R. This course teaches you how to use shinydashboard in R to create a dynamic and interactive dashboard. You will cover the ins and outs of shinydashboard and learn about good UI/UX practices. You will first build a shinyApp and then graduate to building a shinydashboard. Then, you learn how to include interactive elements with hover-over effects. Finally, you will explore how to tweak your design elements of a shinydashboard using CSS code and more.

Learn to create an interactive dashboard using the shinydashboard package in R. Whether you need to provide a client with information, create a data analysis report, or keep track of the performance of a personal project, shinydashboard can help you create something impactful. Learn the essentials of this powerful package today.
<br><br>
<h2>Understand How to Use Dashboards</h2>
<br><br>
While reports can provide you with a snapshot of a situation, a dashboard is not only dynamic, meaning that data can be updated in real time but also interactive. This makes for a more immersive experience for your audience.
<br><br>
<h2>Learn To Use shinydashboard</h2>
<br><br>
In this course, you will learn how to use shinydashboard in R to create a dynamic and interactive dashboard. You will cover the ins and outs of shinydashboard and learn about good UI/UX practices.
<br><br>
<h2>Build an Interactive Dashboard</h2>
<br><br>
You will first build a shinyApp and then graduate to building a shinydashboard. Then, you learn how to include interactive elements with hover-over effects.
<br><br>
Finally, you will explore how to tweak your design elements of a shinydashboard using CSS code and more. You will be given the opportunity to practice these concepts using various datasets in the context of four different scenarios.
<br><br>
Upon completing this course, you will be better equipped to create tailor-made dashboards for any purpose using shinydashboard.

Intermediate R

Introduction to the Tidyverse

Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.

Creating Dashboards in R with shinydashboard

Building Dashboards with shinydashboard

Parlak Temeller in R

Helper functions

Building Dashboards with shinydashboard

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