Jelajahi data Gapminder

Himpunan data gapminder, yang menyediakan beberapa statistik demografis dasar untuk negara-negara dari waktu ke waktu, disediakan oleh paket gapminder.

Gunakan sesi R di sebelah kanan untuk mengeksplorasi dan membiasakan diri dengan data gapminder.

Saat Anda siap, jawab pertanyaan berikut:

Berapakah harapan hidup terendah yang tercatat dalam himpunan data ini?

Latihan ini adalah bagian dari kursus

Studi Kasus: Membangun Aplikasi Web dengan Shiny di R

Latihan interaktif praktis

Ubah teori menjadi tindakan dengan salah satu latihan interaktif kami.

Mulai berolahraga

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: Buat plot sempurna dengan Shiny Exercise 2: Jelajahi data Gapminder

Latihan Saat Ini

Exercise 3: Eksplorasi lebih lanjut data Gapminder Exercise 4: Menambahkan input sederhana untuk memodifikasi plot Exercise 5: Tambahkan judul plot: masukan teks Exercise 6: Ubah ukuran titik: masukan numerik Exercise 7: Menyesuaikan kurva halus: masukan kotak centang Exercise 8: Lebih banyak jenis masukan Exercise 9: Tambahkan warna ke plot Anda: radio button Exercise 10: Tambahkan pemilih benua: select input Exercise 11: Tambahkan filter tahun: input penggeser numerik Exercise 12: Fitur lanjutan untuk menyempurnakan plot Anda Exercise 13: Tambahkan warna ke plot Anda: masukan warna Exercise 14: Memperbesar plot Anda Exercise 15: Buat plot Anda interaktif

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: Explore a dataset with Shiny Exercise 2: See the data in a table Exercise 3: Filter by life expectancy Exercise 4: Select a continent to view Exercise 5: Allow "All" continents to be viewed Exercise 6: More ways to view data: plot and download Exercise 7: Plot the data Exercise 8: Download the filtered data Exercise 9: Reactive variables Exercise 10: Reactive variables reduce code duplication Exercise 11: More benefits of reactive variables Exercise 12: Visual enhancements Exercise 13: Make the table interactive Exercise 14: Place different outputs on different tabs Exercise 15: Add CSS to modify the look of the app

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!