Difference between revisions of "Lesson 9"
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==Webminer== | ==Webminer== | ||
* [https://resources.rstudio.com/vimeo-webinars/dynamic-dashboards-with-shiny Dynamic Dashboards with Shiny] | * [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] | * [https://resources.rstudio.com/rstudio-conf-2017/dashboards-made-easy-sean-lopp Dashboards made easy] | ||
Revision as of 20:20, 8 March 2020
IS428 Visual Analytics for Business Intelligence
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Building Visually Driven Web Applications using R and Shiny
Contents
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
Web-based Visual Analytics Development tool in R
Getting Started
Shiny Applications
- Gallery
- Shiny Contest Winners 2019 - Full List
- Fifteen New Zealand government Shiny web apps
- Introducing the New Zealand Trade Intelligence Dashboard
