Technics Publications R Shiny More Advanced Functionality

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Technics Publications R Shiny More Advanced Functionality-RiDWARE
English | Size: 636.04 MB
Category: Tutorial

Know the basics of R Shiny and want to further sharpen your skills? Then follow along with R Shiny expert Hassan Khan and further sharpen your R Shiny skills.

This hands-on series covers these seven topics:

R Shiny Refresher. This first topic gets you up and running in R Shiny. Install the software and necessary libraries and build your dashboard, which will be used to demonstrate advanced functionality.

Technics Publications R Shiny More Advanced Functionality-RiDWARE
English | Size: 636.04 MB
Category: Tutorial

Know the basics of R Shiny and want to further sharpen your skills? Then follow along with R Shiny expert Hassan Khan and further sharpen your R Shiny skills.

This hands-on series covers these seven topics:

R Shiny Refresher. This first topic gets you up and running in R Shiny. Install the software and necessary libraries and build your dashboard, which will be used to demonstrate advanced functionality.
Adding Videos and Images to Your R Shiny Dashboard. This second topic shows you how to add videos and images to your R Shiny dashboard. Follow along as we build on the dashboard from the prior video.
Formatting Your R Shiny Dashboard Part 1. This third topic adds to our dashboard from the prior clip by providing techniques on how to format your dashboard.
Formatting Your R Shiny Dashboard Part 2. This fourth topic adds to our dashboard from the prior clip by providing more advanced techniques on how to format your dashboard.
Publishing Your R Shiny App. This fifth topic explains how to publish your R Shiny dashboard application.
Conditional Tabs in R Shiny. This sixth topic adds to our dashboard from the prior clip and shows you how to add conditional tabs in R Shiny.
Mastering the Date Input Functions in R Shiny. This seventh topic adds to our dashboard from the prior clip and shows you how to incorporate date input functions to your R Shiny dashboard application.

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