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More exploration of the Gapminder data

To use the gapminder data in a Shiny app, you will often have to filter the dataset in order to retain only a subset of the rows. You can use the subset() function for that.

Diese Übung ist Teil des Kurses

Case Studies: Building Web Applications with Shiny in R

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Anleitung zur Übung

You are given a Shiny app that contains an empty text output. Your task is to:

  • Load the gapminder package.
  • Determine the population of France in year 1972 using the subset() function, and display that number in the text output (line 14).

Interaktive Übung

Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.

# Load the gapminder package
___

# Define UI for the application
ui <- fluidPage(
  "The population of France in 1972 was",
  textOutput("answer")
)

# Define the server function
server <- function(input, output) {
  output$answer <- renderText({
    # Determine the population of France in year 1972
    subset(___ & ___)$___
  })
}

# Run the application
shinyApp(ui = ui, server = server)
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