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Building Dashboards with shinydashboard

In this course you'll learn to build dashboards using the shinydashboard package.

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4 Hours13 Videos45 Exercises21,620 Learners3750 XPShiny Fundamentals Track

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Course Description

Once you've started learning tools for building interactive web applications with shiny, this course will translate this knowledge into building dashboards. Dashboards, a common data science deliverable, are pages that collate information, often tracking metrics from a live-updating data source. You'll gain more expertise using shiny while learning to build and design these dynamic dashboards. In the process, you'll pick up tips to optimize performance as well as best practices to create a visually appealing product.

  1. 1

    Building Static Dashboards

    Free

    In this chapter you will learn the basic structure of a Shiny Dashboard and how to fill it with static content.

    Play Chapter Now
    Dashboard structure overview
    50 xp
    Create empty Header, Sidebar, and Body
    100 xp
    Create an empty Shiny Dashboard
    100 xp
    Dashboard Header overview
    50 xp
    Create message menus
    100 xp
    Create notification menus
    100 xp
    Create task menus
    100 xp
    Dashboard Sidebar and Body overview
    50 xp
    Create Sidebar tabs
    100 xp
    Create Body tabs
    100 xp
    Create tab boxes
    100 xp
  2. 2

    Building Dynamic Dashboards

    In this chapter you will learn how to add dynamic content to your Shiny Dashboard.

    Play Chapter Now
    Reactive expression refresher
    50 xp
    Review selectInput and sliderInput
    100 xp
    Reactive expression practice
    100 xp
    Server-side dynamic how-to
    50 xp
    Read in real-time data
    100 xp
    View real-time data
    100 xp
    Optimizing performance
    50 xp
    How many times will this code run? (1)
    50 xp
    How many times will this code run? (2)
    50 xp
    Optimize this
    100 xp
    UI dynamic how-to
    50 xp
    Create reactive menu items
    100 xp
    Create reactive boxes
    100 xp
  3. 3

    Customizing Style

    In this chapter you will focus on customizing the style of your Shiny Dashboard.

    Play Chapter Now
    Bootstrap explanation
    50 xp
    Create body with row-based layout
    100 xp
    Create body with column-based layout
    100 xp
    Create body with mixed layout
    100 xp
    Customizing the appearance
    50 xp
    Change the appearance of the dashboard
    100 xp
    Customize the body with CSS
    100 xp
    Icons, statuses, colors
    50 xp
    Incorporate icons
    100 xp
    Add some life to your layouts
    100 xp
  4. 4

    Case Study

    In this chapter you will participate in a case study, practicing the skills you have acquired in the previous chapters.

    Play Chapter Now
    Introduction to the NASA fireball data set
    50 xp
    Examine the variables in the data set
    100 xp
    Create a value box for the maximum velocity
    100 xp
    Create a value box for the maximum impact
    100 xp
    Create a value box for the maximum energy
    100 xp
    Dynamic refresher
    50 xp
    Make the value boxes dynamic
    100 xp
    Allow the user to input an alert threshold
    100 xp
    Create a dynamic plot of the location of fireballs
    100 xp
    Update the look of your new application
    100 xp
    Thank you!
    50 xp

In the following tracks

Shiny Fundamentals

Datasets

NASA fireball datasetStarwars dataset

Collaborators

nicksolomonNick SolomonchesterChester Ismay

Prerequisites

Building Web Applications with Shiny in R
Lucy D’Agostino McGowan Headshot

Lucy D’Agostino McGowan

Postdoctoral fellow, Johns Hopkins Department of Biostatistics

Lucy D’Agostino McGowan is a postdoctoral fellow in the Biostatistics Department at Johns Hopkins. She received her PhD in biostatistics from Vanderbilt University. Her research focuses primarily on causal inference techniques as well as data science pedagogy. She is an enthusiastic leader in the R-Ladies movement and active in the R community. Lucy has been using Shiny Dashboards to communicate about data, results, and advanced statistical models for many years, and is excited to pass on what she has learned!
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