In this chapter, you'll learn about the three components of a Markdown file: the code, the text, and the metadata. You'll also learn to add and modify each of these elements to your own reports, as you create your first Markdown files. 

Introduzione a R Markdown

Crea il tuo primo file R Markdown

Aggiungere blocchi di codice al tuo file

Aggiungere e formattare il testo

Opzioni

* o **

Formattare il testo

Aggiungere sezioni al tuo report

Inserire link e immagini

L'intestazione YAML

Modificare l'intestazione YAML

Formattare la data

Getting Started with R Markdown

In this chapter, you’ll use dplyr to begin to analyze the World Bank IFC datasets and include the analyses in your report. You’ll then create visualizations of the data using ggplot2 and learn to modify how the plots display in your knit report. 

Analyzing the data

Filtering for a specific country

Filtering for a specific year

Referencing code results in the report

Adding plots

Visualizing the Investment Annual Summary data

Visualizing all projects for one country

Visualizing all projects for one country and year

Plot options

Setting chunk options globally

Setting chunk options locally

Adding figure captions

Adding Analyses and Visualizations

Now that you've learned how to add, label, and modify code chunks, you'll learn about code chunk options. You can use these to determine whether the code and results appear in the knit report. You'll also discover how to create lists and tables to include in your report. 

Organizing the report

Creating a bulleted list

Creating a numbered list

Adding a table

Code chunk options

Comparing code chunk options

Collapsing blocks in the knit report

Modifying the report using include and echo

Warnings, messages, and errors

Excluding messages

Excluding warnings

Improving the Report

In this final chapter, you'll learn how to customize your report by adding a table of contents and adding a CSS file to the YAML header, to personalize reports with your brand’s fonts and colors. You'll also learn how to efficiently create new reports from your data using parameters, which will save you time from manually updating existing reports to create new ones. 

Adding a table of contents

Adding the table of contents

Specifying headers and number sectioning

Adding table of contents options

Creating a report with a parameter

Adding a parameter to the report

Creating a new report using a parameter

Multiple parameters

Adding multiple parameters to the report

Creating a new report using multiple parameters

Customizing the report

Customizing the report style

Customizing the header and table of contents

Customizing the title, author, and date

Referencing the CSS file

Congratulations!

Customizing the Report

Investment Services Projects

Investment Annual Summary

R Markdown è un linguaggio di formattazione facile da usare che ti permette di far emergere insight dai dati e pubblicare i risultati come PDF, file HTML o app Shiny. In questo corso imparerai a creare e modificare ogni elemento di un file Markdown, inclusi codice, testo e metadati. Analizzerai i dati con dplyr, creerai visualizzazioni con ggplot2 e trasformerai analisi e grafici in report. Farai pratica costruendo report con dati reali dell’International Finance Corporation (IFC), imparando a organizzare i report in modo efficiente con le opzioni dei code chunk, creare elenchi e tabelle e includere un indice. Al termine del corso, avrai le competenze per applicare i font e i colori del tuo brand usando parametri e Cascading Style Sheets (CSS), così da far risaltare i tuoi report.

Introduction to the Tidyverse

R Markdown è un linguaggio semplice per creare report dinamici dal codice R.

Reportistica con R Markdown

R Markdown è un linguaggio di formattazione facile da usare per creare report dinamici dal codice R.

Formattare il testo

Reportistica con R Markdown

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