Revision as of 20:25, 8 March 2020

IS428 Visual Analytics for Business Intelligence

Building Visually Driven Web Applications using R and Shiny

Content

What is a Web-enabled Visual Analytics Application?
Why building Web-enabled Visual Analytical Application?
Evolution of web-based Technology
Introducing Shiny
- Building a simple ShinyApp
- Basic concepts of reactivity and customising reactive features
- Customising ShinyApp

= Shiny-based Dashboard Development Tools]

@@ Line 57: / Line 57: @@
 * [https://nzprimarysectortrade.wordpress.com/2018/10/15/introducing-the-new-zealand-trade-intelligence-dashboard/ Introducing the New Zealand Trade Intelligence Dashboard]
-==Webminer==
+= Shiny-based Dashboard Development Tools]
+* [http://rstudio.github.io/shinydashboard/ http://rstudio.github.io/shinydashboard/ shinydashboard]
+* [https://rmarkdown.rstudio.com/flexdashboard/ flexdashboard]
+=Webminer=
 * [https://resources.rstudio.com/vimeo-webinars/dynamic-dashboards-with-shiny Dynamic Dashboards with Shiny]
 * [https://resources.rstudio.com/rstudio-conf-2017/building-dashboards-with-shiny-tutorial-joe-cheng-amp-winston-chang Building Dashboards with Shiny Tutorial]
 * [https://resources.rstudio.com/rstudio-conf-2017/dashboards-made-easy-sean-lopp Dashboards made easy]