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Web Application Development with R Using Shiny Second Edition

You're reading from   Web Application Development with R Using Shiny Second Edition Integrate the power of R with the simplicity of Shiny to deliver cutting-edge analytics over the Web

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Product type Paperback
Published in Jan 2016
Publisher Packt
ISBN-13 9781782174349
Length 194 pages
Edition 2nd Edition
Languages
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Author (1):
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Chris Beeley Chris Beeley
Author Profile Icon Chris Beeley
Chris Beeley
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Table of Contents (9) Chapters Close

Preface 1. Getting Started with R and Shiny! FREE CHAPTER 2. Building Your First Application 3. Building Your Own Web Pages with Shiny 4. Taking Control of Reactivity, Inputs, and Outputs 5. Advanced Applications I – Dashboards 6. Advanced Applications II – Using JavaScript Libraries in Shiny Applications 7. Sharing Your Creations Index

Google Charts gauge


The gauge in the middle of the screen with the bounce rate is from the excellent Google Charts API. More information on this can be found at developers.google.com/chart/. Fortunately for us, there is an R package to interface with Google Charts, so there is no need to get our hands dirty with a different API. The package is on CRAN and can be installed with install.packages("googleVis").

The code is as follows:

output$gauge <- renderGvis({
  df <- data.frame(Label = "Bounce %",
    Value = round(mean(passData()$bounceRate,
      trim = .1), 1)
  )
  gvisGauge(df,
    options = list(min = 0, max = 100,
      greenFrom = 0,
      greenTo = 50, yellowFrom = 50,
      yellowTo = 70,
      redFrom = 70, redTo = 100)
  )
})

A data frame is produced, with the first column being the label for the gauge, and the second, the value of the gauge. If you require more than one gauge, simply include multiple rows. In this case, we will just use one row. The gauge is drawn very simply...

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