In this chapter you will learn how R Markdown and the flexdashboard package are used to create a dashboard, and how to customize the layout of components on your dashboard.

Benvenuto/a al corso!

Componenti di una dashboard

Anatomia di un flexdashboard

Generare un dashboard

Aggiungere grafici

Nozioni di base sul layout

Larghezze delle colonne

Orientamento per righe

Layout avanzati

Insiemi di schede

Pagine

Dashboard Layouts

This chapter will introduce the many options for including data visualizations in your dashboard. You'll learn about how to optimize your plots for display on the web.

Graphs

Static Graph

Graph Sizing

Web-friendly visualizations

Static vs. web-friendly

Make a plot web-friendly

Explore web-friendly features

htmlwidgets

Add a leaflet map

Add a leaflet map directly from dataframe

Data Visualization for Dashboards

In this chapter you will learn about other components that will allow you to create a complete dashboard. This includes ways to present everything from a single value to a complete dataset.

Highlighting single values

Create value box

Create gauge

Color indicators

Linking

Dashboard Tables

Static table

Web-friendly table

DT::datatable

Text for Dashboards

Captions

Captions with Inline Code

Storyboards

Storyboard Commentary

Dashboard Components

This chapter will demonstrate how you can use Shiny to make your dashboard interactive. You'll keep working with the San Francisco bike sharing data and build a dashboard for exploring this data set.

Incorporating Shiny into Dashboards

What adding Shiny to a flexdashboard means

Converting our flexdashboard to use Shiny

The reactive dataframe pattern

Adding Sidebar

Adding User Input

Making the Dataframe Reactive

Making a Chart React to Inputs

Making All Charts React to Inputs

Customized inputs for charts

Apply Input to Single Chart

Move Input to Chart Box

Create Global Input Sidebar

Course Recap

Adding Interactivity with Shiny

San Francisco bike share data

San Francisco bike share station data

La comunicazione è una parte fondamentale del processo di data science. Le dashboard sono un modo molto diffuso per presentare i dati in un’unica vista coerente. In questo corso imparerai a raccogliere i tuoi risultati in una dashboard curata utilizzando il pacchetto flexdashboard. Può essere semplice come aggiungere poche righe di R Markdown al tuo codice esistente, oppure arrivare a un’esperienza completa e interattiva basata su Shiny. Esplorerai la gamma di strumenti per creare dashboard disponibili in R e alla fine del corso sarai in grado di produrre una dashboard di qualità professionale.

Building Web Applications with Shiny in R

In questo corso imparerai a creare dashboard statiche e interattive con flexdashboard e shiny.

Creare dashboard con flexdashboard

In questo corso imparerai a creare dashboard statiche e interattive usando flexdashboard e shiny.

Nozioni di base sul layout

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