Building Dashboards with shinydashboard

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 the following tracks

Shiny Fundamentals

Datasets

NASA fireball datasetStarwars dataset

Collaborators

Nick SolomonChester Ismay

Prerequisites

Building Web Applications with Shiny in R

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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