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8304325c6c80c4a3e512ad9acf6efc06
mooc-rr
Commits
f46f18ff
Commit
f46f18ff
authored
May 08, 2025
by
8304325c6c80c4a3e512ad9acf6efc06
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f46f18ff
---
title: "Analyse de l'incidence de la Covid-19 en France"
author: "Nadine Njeim"
output:
pdf_document:
toc: true
html_document:
toc: true
theme: journal
documentclass: article
classoption: a4paper
header-includes:
- \usepackage[french]{babel}
- \usepackage[upright]{fourier}
- \hypersetup{colorlinks=true,pagebackref=true}
---
knitr::opts_chunk$set(echo = TRUE)
data_url = "https://www.data.gouv.fr/fr/datasets/r/0e4d6fcf-25a6-4b77-a1a1-6dc43e9778b3"
data_file = "covid19_fr.csv"
if (!file.exists(data_file)) {
download.file(data_url, data_file)
}
data = read.csv(data_file, sep = ";")
head(data)
data_url = "https://www.data.gouv.fr/fr/datasets/r/0e4d6fcf-25a6-4b77-a1a1-6dc43e9778b3"
data_file = "covid19_fr.csv"
if (!file.exists(data_file)) {
download.file(data_url, data_file)
}
data = read.csv(data_file, sep = ";")
head(data)
---
title: "Analyse de l'évolution du chômage en France"
author: "Nadine Njeim"
output:
pdf_document:
toc: true
html_document:
toc: true
theme: journal
documentclass: article
classoption: a4paper
header-includes:
- \usepackage[french]{babel}
- \usepackage[upright]{fourier}
- \hypersetup{colorlinks=true,pagebackref=true}
---
library(readr)
data_url = "https://www.insee.fr/fr/statistiques/fichier/series_longues/sl_trchom.csv"
data_file = "chomage.csv"
if (!file.exists(data_file)) {
download.file(data_url, data_file)
}
data = read_csv2(data_file, skip = 5)
head(data)
---
title: "Évolution des températures mensuelles à Paris"
author: "Nadine Njeim"
output:
pdf_document:
toc: true
html_document:
toc: true
theme: journal
documentclass: article
classoption: a4paper
header-includes:
- \usepackage[french]{babel}
- \usepackage[upright]{fourier}
- \hypersetup{colorlinks=true,pagebackref=true}
---
library(lubridate)
library(ggplot2)
data_url = "https://data.meteofrance.com/donnees-libres/BulletinsMensuels/Paris.csv"
data_file = "paris_temp.csv"
if (!file.exists(data_file)) {
download.file(data_url, data_file)
}
data = read.csv(data_file)
data$Date = as.Date(paste0(data$Annee, "-", data$Mois, "-01"))
ggplot(data, aes(x = Date, y = TemperatureMoyenne)) +
geom_line() + labs(title = "Température moyenne mensuelle à Paris")
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