paid course

Building Dashboards with shinydashboard

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

4 hours
13 Videos
45 Exercises
7,094 Participants
3,750 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.

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

Course Outline

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

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

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

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

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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Building Dynamic Dashboards

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

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

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

Course Instructor

Lucy D’Agostino McGowan

Postdoctoral fellow, Johns Hopkins Department of Biostatistics

Collaborator(s)

Chester Ismay
Nick Solomon

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Building Dashboards with shinydashboard

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Course Description

Course Outline

Building Static Dashboards

Dashboard structure overview

Create empty Header, Sidebar, and Body

Create an empty Shiny Dashboard

Dashboard Header overview

Create message menus

Create notification menus

Create task menus

Dashboard Sidebar and Body overview

Create Sidebar tabs

Create Body tabs

Create tab boxes

Customizing Style

Bootstrap explanation

Create body with row-based layout

Create body with column-based layout

Create body with mixed layout

Customizing the appearance

Change the appearance of the dashboard

Customize the body with CSS

Icons, statuses, colors

Incorporate icons

Add some life to your layouts

Building Dynamic Dashboards

Reactive expression refresher

Review selectInput and sliderInput

Reactive expression practice

Server-side dynamic how-to

Read in real-time data

View real-time data

Optimizing performance

How many times will this code run? (1)

How many times will this code run? (2)

Optimize this

UI dynamic how-to

Create reactive menu items

Create reactive boxes

Case Study

Introduction to the NASA fireball data set

Examine the variables in the data set

Create a value box for the maximum velocity

Create a value box for the maximum impact

Create a value box for the maximum energy

Dynamic refresher

Make the value boxes dynamic

Allow the user to input an alert threshold

Create a dynamic plot of the location of fireballs

Update the look of your new application

Thank you!