---
title: "Réaliser un afficahge graphique"
author: "Céline Chapelle"
date: "29 mai 2024"
output: html_document
---


```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
# Réaliser un affichage graphique

Réaliser un affichage graphique (séquence plot + histogramme) des données de l'exercice précédent. Voir les images attendues ci-dessous :

![image1](C:/Users/cc270930/Desktop/MOOC%20recherche%20reproductible/Module%202-La%20vitrine%20et%20l'envers%20du%20décor,%20le%20document%20computationnel/exercice2_3_fig1.png)
![image2](C:/Users/cc270930/Desktop/MOOC%20recherche%20reproductible/Module%202-La%20vitrine%20et%20l'envers%20du%20décor,%20le%20document%20computationnel/exercice2_3_fig2.png)

# graphique 1

```{r cars}
library(pastecs)
id <- c(1:100)
value <- c(14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0)
df <- data.frame(id,value)

ggplot(data = df, aes(x = id, y = value)) +
geom_line(color = "blue")+
labs(x = NULL, y = NULL) +
scale_x_continuous(limits = c(0, 100), breaks = c(0,20,40,60,80,100), expand=c(0,0)) +
scale_y_continuous(limits = c(0, 25), breaks = c(0,5,10,15,20,25), expand=c(0,0)) +
theme(panel.background = element_rect(fill = "white",
                                      colour = "black",
                                      size = 0.5, linetype = "solid"),
      panel.grid.major = element_line(size = 0.5, linetype = 'dashed',
                                      colour = "black"), 
      panel.grid.minor = element_line(size = 0.25, linetype = 'solid',
                                      colour = "white"))
```

# graphique 2

```{r cars}
ggplot(data = df, aes(x = value)) +
geom_histogram(color = "black", fill = "blue",
               breaks = seq(min(df$value), max(df$value), length.out = 11)) +
labs(x = NULL, y = NULL) +
scale_x_continuous(limits = c(0, 25), breaks = c(0,5,10,15,20,25), expand=c(0,0)) +
scale_y_continuous(limits = c(0, 25), breaks = c(0,5,10,15,20,25), expand=c(0,0)) +
theme(panel.background = element_rect(fill = "white",
                                      colour = "black",
                                      size = 0.5, linetype = "solid"),
      panel.grid.major = element_line(size = 0.5, linetype = 'dashed',
                                      colour = "black"), 
      panel.grid.minor = element_line(size = 0.25, linetype = 'solid',
                                      colour = "white"))
```