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Take a fresh, interactive approach to telling your data story with Shiny. Let users interact with your data and your analysis. And do it all with R.

Shiny is an R package that makes it easy to build interactive web apps straight from R. You can host standalone apps on a webpage or embed them in R Markdown documents or build dashboards. You can also extend your Shiny apps with CSS themes, htmlwidgets, and JavaScript actions.

Shiny combines the computational power of R with the interactivity of the modern web.

Get Started 安卓极光加速器破解版

Here is a Shiny app

Shiny apps are easy to write. No web development skills are required.

安卓极光加速器破解版
app.R

Shiny comes with a variety of built in input widgets. With minimal syntax it is possible to include widgets like the ones shown on the left in your apps:


# Select type of trend to plot
selectInput(inputId = "type", label = strong("Trend index"),
            choices = unique(trend_data$type),
            selected = "Travel")

# Select date range to be plotted
dateRangeInput("date", strong("Date range"),
               start = "2007-01-01", end = "2017-07-31",
               min = "2007-01-01", max = "2017-07-31")

Displaying outputs is equally hassle-free:


mainPanel(
  plotOutput(outputId = "lineplot", height = "300px"),
  textOutput(outputId = "desc"),
  tags$a(href = "http://www.google.com/finance/domestic_trends",
         "Source: Google Domestic Trends", target = "_blank")
)

Build your plots or tables as you normally would in R, and make them reactive with a call to the appropriate render function:


  output$lineplot <- renderPlot({
    plot(x = selected_trends()$date, y = selected_trends()$close, type = "l",
         xlab = "Date", ylab = "Trend index")
  })

Want to find out how we built the Google Trend Index app shown on the left? See the next tab for the complete source code.

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Put your Shiny app on the web by using your own servers or RStudio's hosting service.

Learn more