Subscribe now. Save 33% on DataCamp and make data science your superpower.

Offer ends in  days  hrs  mins  secs

This course is part of these tracks:

Lucy D’Agostino McGowan
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!

See More
  • Chester Ismay

    Chester Ismay

  • Nick Solomon

    Nick Solomon

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


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

  2. Building Dynamic Dashboards

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

  3. Customizing Style

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

  4. Case Study

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