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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

Go To Track
  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
    Components of a shinydashboard
    50 xp
    Components of a shinydashboard UI
    50 xp
    Your first (empty) dashboard
    100 xp
    The header and sidebar
    50 xp
    Header and sidebar functions
    100 xp
    Setting a header
    100 xp
    Setting a sidebar
    100 xp
    The body
    50 xp
    Wireframing with boxes
    100 xp
    Wireframing
    100 xp
    Your first shinydashboard
    50 xp
    Helper functions
    50 xp
    Header and side bar settings
    100 xp
    The body, and completing the UI
    100 xp
    Building your first dashboard
    100 xp
  3. 3

    Interactive plots and geospatial maps

    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.

    Play Chapter Now
    Interactive plots with plotly
    50 xp
    Creating your own plotly plots
    100 xp
    Understanding plotly limitations
    100 xp
    Geospatial maps with sf
    50 xp
    Types of sf objects
    50 xp
    sf plots with plot()
    100 xp
    sf plots with ggplot
    100 xp
    Geospatial maps with leaflet
    50 xp
    Layers of a leaflet map
    100 xp
    Creating your first leaflet map
    100 xp
    Interactive elements in a shinydashboard
    50 xp
    Creating some helper functions
    100 xp
    Your first shinydashboard with interactive elements
    100 xp
  4. 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
    Good UI/UX practices
    50 xp
    Understanding UI/UX principles
    50 xp
    Wireframing with UI/UX principles
    100 xp
    Statuses, colors and skins
    50 xp
    Setting statuses
    100 xp
    Setting colors
    100 xp
    Changing shinydashboard skins
    100 xp
    Customization with CSS formatting
    50 xp
    Good UI/UX practices and a warm-up
    100 xp
    Statuses and completing the UI
    100 xp
    Customize your shinydashboard with CSS
    100 xp
    Wrap-up
    50 xp
For Business

Training 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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