Building Data Apps with R and Shiny Essential Training

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MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch | Duration: 2h 50m
Genre: eLearning | Language: English + Sub | Size: 418 MB

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. Martin John 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.
Topics include:
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
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