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98138ca848a2c79ac2e0c0d2a296f143
mooc-rr
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a6f950df
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a6f950df
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Jun 08, 2020
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98138ca848a2c79ac2e0c0d2a296f143
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---
title: "Exercice d'analyse de données"
author: "Nicolas Roelandt"
date: "2020-06-08"
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE, warning = FALSE)
```
```{r load-libraries, echo=FALSE}
library(tidyverse)
```
# Données et résumé
### Taille du jeu de donnée
Le jeu de donnée contient `r nrow(data)` lignes et `r ncol(data)` colonnes.
```{r load-data, echo=FALSE}
data <- read_csv(file = "data.csv")
```
## Contrôle des données
```{r data-head}
head(data)
```
```{r data-tail}
tail(data)
```
### Statistiques
Le jeu de données comprend `r nrow(data)` observations.
La moyenne des observations est de `r mean(data$valeur)`
La médiane est de `r median(data$valeur)`, les données allant de `r min(data$valeur)` à `r max(data$valeur)`.
Soit une amplitude de `r max(data$valeur) - min(data$valeur)`.
# Graphiques
### Courbes
Visualisation des données sous forme d'une courbe.
```{r}
plot(data, type = 'l', col = 'blue')
```
### Histogramme
Visualisation sous forme du nombre d'incidence des valeurs.
```{r}
hist(data$valeur, col = 'blue', main = "Répartition des observations", xlab = "Valeur", ylab = "Quantité")
```
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