Lynda - Building Data Apps with R and Shiny- Essential Training

[ FreeCourseWeb.com ] 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



Use Winrar to Extract. And use a shorter path when extracting, such as C: drive



ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcom! :)



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