Une présentation pour s’initier à la visualisation graphique avec R. La présentation est disponible sur Rpub. ggplot2 is a data visualization package for the statistical programming language R. which was created by Hadley Wickham in 2005.

A ce lien, vous trouverez tout ce qui est nécessaire pour vous initier à la visualisation des données avec R, sans effort, pas à pas.

Examples

Code

---
title: "Data Visualization in R With ggplot2"
author: "<br>Ehouman Evans <br> _Abidjan R users_" 
date: "12.07.2019"
output: 
revealjs::revealjs_presentation:
transition: slide
---

import image
<center> <img src="ggplot2.jpg" width="500"/> </center>

knitr::opts_chunk$set(echo = FALSE)

Introduction

Introduction

• ggplot2 is a data visualization package for the statistical programming language R. Created by Hadley Wickham in 2005
• ggplot2 stands for Grammar of Graphics

Agenda

• ggplot2 presenation : Install and load the package
• Basic ggplot2 graphs (Density, Bar, …)
• Case study

Packages required for the presentation

Install package

install.packages("gapminder")
install.packages("datasets")
install.packages("tidyverse")
install.packages("grid")
install.packages("ggrepel")
install.packages("ggthemes")
install.packages("extrafont")
install.packages("cowplot")
install.packages("readr")
install.packages("revealjs")

ggplot2 presenation

Installation

• To install R packages in RStudio: GUI versus R Console :

1. Using the GUI: Go to the Packages tab and click Install
2. Using the R Console: install.packages(“package_name”)

• Try this R Code: install.packages(“ggplot2”)

Loading an R Package For Use

• Once you’ve installed an R package, it’s then bundled with R and RStudio.
• However, to access these files you must load your R package.
• Try this R Code: library(ggplot2)

ggplot2 code

General structure

```{r, eval=FALSE, echo=TRUE, message=FALSE, warning=FALSE}
ggplot(data = <DATA>),  <GEOM_FUNCTION>(mapping = aes(<MAPPINGS>))

## ggplot2 structure exemple (1)

library(ggplot2)
ggplot(data = mpg) + 
  geom_point(mapping = aes(x = displ, y = hwy))

## ggplot2 structure exemple (2)
```{r echo=TRUE, fig.width = 6, fig.height = 3, message=FALSE, warning=FALSE}
library(ggplot2)
library(gapminder)
ggplot(gapminder, aes(x = gdpPercap, y = lifeExp))  

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