---
title: "Réaliser un affichage graphique"
author: "Valentin Mathieu"
date: "01 Mars 2024"
output: html_document
---


```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```

## Création d'un vecteur

Stockage des données dans un vecteur numérique appelé *data* :

```{r}
data <- 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)
data_df <- data.frame(data)
```

Création des valeurs en abscisse pour les plots

```{r}
x <- seq(0, length(data)-1)
```

## Séquence plot

```{r}
library(ggplot2)
ggplot(data = data_df, aes(x = x, y=data_df))+geom_line(color = "blue")
```

## Histogramme

```{r}
#library(ggplot2)
#ggplot(data = data_df, aes(x=data_df))+geom_histogram(color = "blue")
hist(data, breaks = 8, xlim = c(0, 25), ylim = c(0,25), col = "blue")
```