Difference between revisions of "Lesson 9"
Jump to navigation
Jump to search
| (18 intermediate revisions by the same user not shown) | |||
| Line 28: | Line 28: | ||
|} | |} | ||
<br/> | <br/> | ||
| + | |||
| + | <font size="5">'''Building Visual Analytics WebApps with R and Shiny'''</font> | ||
| + | |||
| + | = Content = | ||
| + | |||
| + | * What is a Visual Analytics WebApps? | ||
| + | * Why building Visual Analytics WebApps? | ||
| + | * Evolution of web-based Technology | ||
| + | * Introducing Shiny | ||
| + | ** Building a simple ShinyApp | ||
| + | ** Basic concepts of reactivity and customising reactive features | ||
| + | ** Customising ShinyApp | ||
| + | |||
| + | |||
| + | =All About Shiny= | ||
| + | |||
| + | ==Getting Started== | ||
| + | * [https://shiny.rstudio.com/ Shiny from R Studio] | ||
| + | * [https://shiny.rstudio.com/tutorial/ Learn Shiny] | ||
| + | * [http://shiny.rstudio.com/reference/shiny/latest/ Function reference] | ||
| + | * [https://shiny.rstudio.com/images/shiny-cheatsheet.pdf The Shiny Cheat sheet] | ||
| + | * [https://bookdown.org/tpemartin/shiny_intro/shiny-part-i.html Shiny 入門] | ||
| + | |||
| + | ==Shiny Applications== | ||
| + | * [https://shiny.rstudio.com/gallery/ Gallery] | ||
| + | * [https://community.rstudio.com/t/shiny-contest-winners-2019-full-list/36347 Shiny Contest Winners 2019 - Full List] | ||
| + | * [http://freerangestats.info/blog/2018/05/13/nz-govt-shinyapps Fifteen New Zealand government Shiny web apps] | ||
| + | * [https://nzprimarysectortrade.wordpress.com/2018/10/15/introducing-the-new-zealand-trade-intelligence-dashboard/ Introducing the New Zealand Trade Intelligence Dashboard] | ||
| + | |||
| + | |||
| + | = 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] | ||
| + | * [https://resources.rstudio.com/rstudio-conf-2020/styling-shiny-apps-with-sass-and-bootstrap-4-joe-cheng Styling Shiny apps with Sass and Bootstrap 4] | ||
Latest revision as of 21:29, 8 March 2020
IS428 Visual Analytics for Business Intelligence
|
|
|
|
|
|
Building Visual Analytics WebApps with R and Shiny
Contents
Content
- What is a Visual Analytics WebApps?
- Why building Visual Analytics WebApps?
- Evolution of web-based Technology
- Introducing Shiny
- Building a simple ShinyApp
- Basic concepts of reactivity and customising reactive features
- Customising ShinyApp
All About Shiny
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
Shiny-based Dashboard Development Tools
