Difference between revisions of "Lesson 8"
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| + | =Must Do= | ||
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| + | * Complete the entire course [https://www.datacamp.com/courses/building-web-applications-in-r-with-shiny-case-studies Building Web Applications in R with Shiny: Case Studies] of Datacamp | ||
=Core References= | =Core References= | ||
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| + | * [https://vimeo.com/rstudioinc/review/131218530/212d8a5a7a/#t=0m0s Part 1 - How to build a Shiny app] | ||
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| + | * [https://vimeo.com/rstudioinc/review/131218530/212d8a5a7a/#t=42m2s Part 2 - How to customize reactions] | ||
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| + | * [https://vimeo.com/rstudioinc/review/131218530/212d8a5a7a/#t=1h32m41s Part 3 - How to customize appearance] | ||
| + | |||
| + | * [http://shiny.rstudio.com/articles/shinyapps.html Shinyapps.io - Getting started] | ||
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| + | =Additional References= | ||
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| + | * [http://zevross.com/blog/2016/04/19/r-powered-web-applications-with-shiny-a-tutorial-and-cheat-sheet-with-40-example-apps/ R powered web applications with Shiny] | ||
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| + | * [https://resources.rstudio.com/shiny-developer-conference/shinydevcon-gadgets-hadleywickham-1080p Building interactive tools for exploratory data analysis] | ||
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| + | * [https://resources.rstudio.com/shiny-developer-conference/shinydevcon-who-app-zevross-1080p WHO App - Zev Ross] | ||
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| + | * [https://resources.rstudio.com/shiny-developer-conference/shinydevcon-airbnb-v3-ricardobion-1080p Airbnb - Ricardo Bio]n | ||
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| + | =Shiny Applications= | ||
| + | * [https://shiny.rstudio.com/gallery/ Gallery] | ||
| + | * [https://www.showmeshiny.com/ Show Me Shiny] | ||
| + | * [https://rstd.io/shiny-contest-2019 Shiny Contest Submission] | ||
| + | * [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] | ||
| + | * [https://nzprimarysectortrade.wordpress.com/2018/10/15/introducing-the-new-zealand-trade-intelligence-dashboard/ Introducing the New Zealand Trade Intelligence Dashboard] | ||
Latest revision as of 06:05, 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
