---
title: "Savoir faire un calcul simple soi-même"
author: "Amélie Noël"
date: "12/05/2020"
output: html_document
---

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

## Représentation graphique
La suite de l'exercice est de représenter graphiquement les données.
```{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
```

### Transformation des données
```{r}
Table=data.frame(c(1:100),c(Data))
names(Table)=c("Ordre","Data")
Table

```


### Séquence plot
```{r}
library(ggplot2)

plot <- qplot(Ordre, Data, data = Table,geom="line")
plot + xlab("") + ylab("")+geom_line(colour="blue")+theme_bw()+theme(panel.grid.major = element_line(linetype="dotted"),panel.grid.minor=element_line(linetype="dotted"))+ expand_limits(x=0, y=0)+scale_x_continuous(breaks=seq(0, 100, by = 20))+scale_y_continuous(breaks=seq(0, 25, by = 5))

```



### Histogramme

```{r}
hist(Data,col="blue",main="",
     xlab="",ylab="",
     las=1,xlim=c(0,25),ylim=c(0,25))



```