Building Dashboards with shinydashboard

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

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4 Hours13 Videos45 Exercises19,983 Learners
3750 XP

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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.

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    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

In the following tracks

Shiny Fundamentals

Collaborators

Nick SolomonChester Ismay
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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