Building Data Apps with R and Shiny: Essential Training
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 50m | 418 MB
Instructor: Charlie Joey Hadley
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 50m | 418 MB
Instructor: Charlie Joey Hadley
Shiny allows R data science teams to build interactive data-driven web apps without needing to learn HTML, CSS, or JavaScript. It is a powerful and versatile tool that is often used for R&D, data analysis, and even external marketing purposes. If you have a good understanding of the R language and know how to separate client-side code from server-side, you are ready to dive into this course and build a Shiny app. Charlie Hadley covers organizing single and split-file apps, managing data tables, using APIs to get data into an app, adding data controls, deploying an app, and more.
Learning objectives
- Building a Shiny data app
- Single vs. split-file apps
- Static tables vs. interactive tables
- renderTable and kableExtra and DT tables
- Connecting to an API
- Populating pull-down menus from data
- Using interdependent filter controls
- Collecting data using rhandsontable
- Printing to the R console in Shiny apps
- Debugging Shiny apps
- shinyjs::runcodeUI, reactlog
- Deploying apps