Esplora i dati di Gapminder

Il dataset gapminder, che fornisce alcune statistiche demografiche di base per i paesi nel tempo, è disponibile nel pacchetto gapminder.

Usa la sessione R a destra per esplorare e prendere confidenza con i dati gapminder.

Quando sei pronto, rispondi alla seguente domanda:

Qual è l’aspettativa di vita più bassa registrata in questo dataset?

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Casi di studio: creare applicazioni web con Shiny in R

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Questo esercizio fa parte del corso

Casi di studio: creare applicazioni web con Shiny in R

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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: Crea il grafico perfetto con Shiny Exercise 2: Esplora i dati di Gapminder

Esercizio in corso

Exercise 3: Esplorazione avanzata dei dati Gapminder Exercise 4: Aggiungere input semplici per modificare un grafico Exercise 5: Aggiungi un titolo al grafico: input di testo Exercise 6: Modifica la dimensione dei punti: input numerico Exercise 7: Adatta una curva smooth: checkbox input Exercise 8: Altri tipi di input Exercise 9: Aggiungi colori al tuo grafico: pulsanti di scelta Exercise 10: Aggiungi un selettore di continenti: select input Exercise 11: Aggiungi un filtro per anno: cursore numerico Exercise 12: Funzionalità avanzate per migliorare il tuo grafico Exercise 13: Aggiungi colori al tuo grafico: input colore Exercise 14: Ingrandire il grafico Exercise 15: Rendi interattivo il tuo grafico

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!