Lihat data dalam tabel

Langkah awal yang mudah dalam menjelajahi sebuah himpunan data adalah cukup melihatnya sebagai tabel.

Sejauh ini kita terutama berfokus pada input—widget interaktif yang memungkinkan pengguna memilih nilai. Sekarang kita ingin memiliki tabel di aplikasi, dan mengirim data untuk ditampilkan dalam tabel. Untuk menampilkan objek di Shiny, kita perlu menggunakan fungsi output dan render.

Latihan ini adalah bagian dari kursus

Studi Kasus: Membangun Aplikasi Web dengan Shiny di R

Petunjuk latihan

Diberikan sebuah aplikasi Shiny minimal, tambahkan tabel yang akan menampilkan himpunan data gapminder. Secara khusus:

Tambahkan placeholder untuk tabel dengan membuat keluaran tabel dengan ID "table" di UI.
Gunakan fungsi render yang sesuai di kode server untuk merender tabel.

Latihan interaktif praktis

Cobalah latihan ini dengan menyelesaikan kode contoh berikut.

ui <- fluidPage(
  h1("Gapminder"),
  # Add a placeholder for a table output
  ___
)

server <- function(input, output) {
  # Call the appropriate render function 
  output$table <- ___({
    # Show the gapminder object in the table
    gapminder
  })
}

shinyApp(ui, server)

Edit dan Jalankan Kode

Latihan ini adalah bagian dari kursus

Studi Kasus: Membangun Aplikasi Web dengan Shiny di R

SkillTag.level.intermediateSkillTag.label

4.9+

Mulai Kursus Gratis

In the first chapter, you'll review the essentials of Shiny development. You'll get reintroduced to the basic structure of a Shiny application, as well as some core Shiny concepts such as inputs, outputs, and reactivity. Completing this chapter will help refresh your Shiny knowledge and ensure you have the required skills to develop Shiny apps for real-life scenarios.

Exercise 1: Introduction Exercise 2: Simple text Exercise 3: Formatted text Exercise 4: Adding structure to your app Exercise 5: Inputs and outputs Exercise 6: Adding inputs Exercise 7: Adding placeholders for outputs Exercise 8: Constructing output objects Exercise 9: Reactivity 101 Exercise 10: Reactivity: simple reactive variable Exercise 11: Reactivity: composed reactive variable Exercise 12: Reactive contexts

Imagine you're preparing a figure for a manuscript using R. You spend a lot of time recreating the same plot over and over again by rerunning the same code but changing small parameters each time. The size of the points, the color of the points, the plot title, the data shown on the plot—these criteria all have to be just right before publishing the figure. To save you from the hassle of rerunning the code many times, you will learn how to create a Shiny app to make a customizable plot.

Exercise 1: Make the perfect plot using Shiny Exercise 2: Explore the Gapminder data Exercise 3: More exploration of the Gapminder data Exercise 4: Adding simple inputs to modify a plot Exercise 5: Add a plot title: text input Exercise 6: Change the point size: numeric input Exercise 7: Fit a smooth curve: checkbox input Exercise 8: More input types Exercise 9: Add colours to your plot: radio buttons Exercise 10: Add a continent selector: select input Exercise 11: Add a year filter: numeric slider input Exercise 12: Advanced features to improve your plot Exercise 13: Add colours to your plot: color input Exercise 14: Making your plot larger Exercise 15: Make your plot interactive

Let’s say your supervisor is impressed by the plot you created with Shiny and now wants to get familiar with the dataset you used in the plot. They don't want to simply have a raw data file, they want an interactive environment where they can view the data, filter it, and download it. This chapter will guide you in creating such an application—a Shiny app for exploring the Gapminder dataset.

Exercise 1: Jelajahi himpunan data dengan Shiny Exercise 2: Lihat data dalam tabel

Latihan Saat Ini

Exercise 3: Filter berdasarkan harapan hidup Exercise 4: Pilih benua untuk ditampilkan Exercise 5: Izinkan semua benua ("All") ditampilkan Exercise 6: Cara lain untuk melihat data: plot dan unduh Exercise 7: Plotkan data Exercise 8: Unduh data yang sudah difilter Exercise 9: Variabel reaktif Exercise 10: Variabel reaktif mengurangi duplikasi kode Exercise 11: Lebih banyak manfaat variabel reaktif Exercise 12: Penyempurnaan visual Exercise 13: Jadikan tabel interaktif Exercise 14: Tempatkan keluaran yang berbeda pada tab yang berbeda Exercise 15: Tambahkan CSS untuk memodifikasi tampilan aplikasi

Your friend really likes word clouds and has written an R function to generate them. They want to share this function with all their friends, but not all of them know how to use R. You offer to help by building a Shiny app that uses their function to let people create their own word clouds. This will allow all their friends—even the ones who are unfamiliar with R—to generate word clouds using a point-and-click interface. This chapter will guide you through the steps required to build this app.

Exercise 1: Word clouds in Shiny Exercise 2: Word cloud Shiny app Exercise 3: Change the word cloud parameters Exercise 4: Add a layout Exercise 5: Adding word sources Exercise 6: Use your own words Exercise 7: Upload a text file (ui)Exercise 8: Upload a text file (server)Exercise 9: Combining all the word sources Exercise 10: Choose the data source (ui)Exercise 11: Choose the data source (server)Exercise 12: Conditionally show or hide required inputs Exercise 13: Fine tune the reactivity Exercise 14: Don't continuously create new word clouds Exercise 15: Reactivity: effects of isolation Exercise 16: Create a new word cloud on demand Exercise 17: Wrap-up: Go and make your own apps!