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Building Dashboards with shinydashboard

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

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Course Description

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.

Understand How to Use Dashboards



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.

Learn To Use shinydashboard



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.

Build an Interactive Dashboard



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. You will be given the opportunity to practice these concepts using various datasets in the context of four different scenarios.

Upon completing this course, you will be better equipped to create tailor-made dashboards for any purpose using shinydashboard.
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In the following Tracks

Shiny Fundamentals in R

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  1. 1

    ShinyApps

    Free

    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.

    Play Chapter Now
    Getting started with shiny apps
    50 xp
    Parts of a shinyApp
    50 xp
    An empty shinyApp
    100 xp
    Types of input
    50 xp
    Practicing sliderInput
    100 xp
    Inserting multiple inputs
    100 xp
    checkboxInput and checkboxGroupInput
    100 xp
    Types of output
    50 xp
    textOutput with interactions
    100 xp
    Dropdown menus
    100 xp
    Your first shinyApp
    100 xp
  2. 2

    Basics of a shinydashboard

    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.

    Play Chapter Now
  3. 4

    Adding design elements and improving UI/UX

    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.

    Play Chapter Now
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GroupTraining 2 or more people?

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In the following Tracks

Shiny Fundamentals in R

Go To Track

collaborators

Collaborator's avatar
Izzy Weber
Collaborator's avatar
Maarten Van den Broeck
Collaborator's avatar
Jasmin Ludolf

prerequisites

Intermediate RIntroduction to the Tidyverse
Kee Seng Png HeadshotKee Seng Png

Researcher

Kee Seng is a researcher based in Singapore, whose day job is to design trading strategies. He has a background in physics and an interest in math, data science and statistics. His specialization was in physical mathematics, but has since pivoted to the world of finance.
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