Per month for users to interact with your App.The R Shiny framework is a package from RStudio that makes it incredibly easy to build interactive web applications with R. Aįree tier is available, and provides a limited number of “live hours” Range from simple to complex, and costly to inexpensive.Ī relatively painless way to deploy is via shinyapps.io, run by RStudio. There are a range of services that allow us to deploy Shiny Apps that When we moveĪ Shiny App from our computer onto a web server so that it can be shared However, we may want to share ourĪpp with a wider, non-technical audience over the internet. They can open the file and run the app on their computerĪs we’ve been doing in this module. R user is to share the app.R file and dataĭependencies. The fastest and simplest way to share your Shiny app with another Up until now, we’ve been using our own computer to run our Shiny AppĮxample.
The output IDs "gwl_plot" and "gwl_data". Plotly::plotlyOutput() plot, and another with aįinally, in the server, we rendered plotly andĭataTable objects and saved them to the output object under
MainPanel() we added a tabsetPanel() with two "site_code" and choices equal to the unique values of We used a selectInput() control widget with a ID # function that takes a site code and generates a plot f_make_hydrograph % filter ( SITE_CODE = site_code ) %>% ggplot ( aes ( MSMT_DATE, WSE ) ) + geom_line (alpha = 0.5 ) + geom_smooth (method = "lm", se = FALSE ) + labs (title = glue :: glue ( "Groundwater level (ft AMSL) at: package to change the default appearance of You may begin with anĮDA to filter the data to Sacramento County, clean the data, and make Imagine you’re analyzing groundwater levels across California 1 and want to assess groundwaterĮlevation trends over time in Sacramento County. You should create a Shiny App when you want to make results and/or dataĪvailable to others, or when the dataset is complex enough to warrant a Need to answer is “when and why should I build a Shiny App?” Generally, Now that we know what a Shiny App is, a fundamental question that we Powerful way of exploring and understanding the data within the Shiny Non- R users!) to interact with the data, providing a Wrap existing code and data with an additional layer of interactivityīetter visualize, analyze, export, and more. Shiny Apps are highly customizable, and allow R users to No knowledge of HTML, CSS, or JavaScript.īecause they extend R-based analyses, interactive ShinyĪpps have as many diverse niches and uses as the the RĬommunity itself, and it’s likely that you have come across a Shiny App Mind, and to that end, you can create pretty complicated Shiny apps with It is designed primarily with data scientists in Shiny is a framework for creating web applications using
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