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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.

Este ejercicio forma parte del curso

Case Studies: Building Web Applications with Shiny in R

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Instrucciones del ejercicio

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).

Ejercicio interactivo práctico

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# 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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