Altri modi per visualizzare i dati: grafico e download

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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: 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: Esplora un insieme di dati con Shiny Exercise 2: Visualizza i dati in una tabella Exercise 3: Filtra per aspettativa di vita Exercise 4: Seleziona un continente da visualizzare Exercise 5: Consenti la visualizzazione di "All" i continenti Exercise 6: Altri modi per visualizzare i dati: grafico e download

Esercizio in corso

Exercise 7: Rappresenta i dati Exercise 8: Scarica i dati filtrati Exercise 9: Variabili reattive Exercise 10: Le variabili reattive riducono la duplicazione del codice Exercise 11: Altri vantaggi delle variabili reattive Exercise 12: Miglioramenti visivi Exercise 13: Rendi la tabella interattiva Exercise 14: Metti risultati diversi su schede diverse Exercise 15: Aggiungi CSS per modificare l'aspetto dell'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!