Difference between revisions of "Lesson 8"
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* [https://shiny.rstudio.com/gallery/ Gallery] | * [https://shiny.rstudio.com/gallery/ Gallery] | ||
* [https://www.showmeshiny.com/ Show Me Shiny] | * [https://www.showmeshiny.com/ Show Me Shiny] | ||
| − | * [https:// | + | * [ https://rstd.io/shiny-contest-2019 Shiny Contest Submission] |
* [https://plot.ly/r/shiny-gallery/ Gallery of Plotly Graphs in R Shiny] | * [https://plot.ly/r/shiny-gallery/ Gallery of Plotly Graphs in R Shiny] | ||
* [http://freerangestats.info/blog/2018/05/13/nz-govt-shinyapps Fifteen New Zealand government Shiny web apps] | * [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] | * [https://nzprimarysectortrade.wordpress.com/2018/10/15/introducing-the-new-zealand-trade-intelligence-dashboard/ Introducing the New Zealand Trade Intelligence Dashboard] | ||
Revision as of 06:04, 18 October 2019
IS428 Visual Analytics for Business Intelligence
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Building Web-enabled Visual Analytics Applications in R with Shiny
Content
- Introduction of Shiny
- Design Web Applications with Shiny
Must Do
- Complete the entire course Building Web Applications in R with Shiny: Case Studies of Datacamp
Core References
Additional References
