{"id":10474,"date":"2019-11-17T23:19:33","date_gmt":"2019-11-17T21:19:33","guid":{"rendered":"https:\/\/www.datanovia.com\/en\/?post_type=dt_lessons&#038;p=10474"},"modified":"2019-11-17T23:20:13","modified_gmt":"2019-11-17T21:20:13","slug":"ggplot-line-plot","status":"publish","type":"dt_lessons","link":"https:\/\/www.datanovia.com\/en\/fr\/lessons\/ggplot-line-plot\/","title":{"rendered":"GGPLOT Line Plot"},"content":{"rendered":"<div id=\"rdoc\">\n<p>Dans un <strong>graphique en ligne<\/strong> (ou line plot), les observations sont ordonn\u00e9es par la valeur sur x et reli\u00e9es par une ligne.<\/p>\n<p>La valuer x (pour l\u2019axe des x) peut \u00eatre :<\/p>\n<ul>\n<li>date : pour une s\u00e9rie chronologique de donn\u00e9es<\/li>\n<li>textes<\/li>\n<li>valeurs num\u00e9riques discr\u00e8tes<\/li>\n<li>valeurs num\u00e9riques continues<\/li>\n<\/ul>\n<p>Cet article d\u00e9crit comment cr\u00e9er un line plot \u00e0 l\u2019aide du package ggplot2 dans R<\/p>\n<p>Vous apprendrez \u00e0:<\/p>\n<ul>\n<li>Cr\u00e9ez des line plots de base et group\u00e9s<\/li>\n<li>Ajouter des points \u00e0 un line plot<\/li>\n<li>Modifier les types de lignes et les couleurs par groupe<\/li>\n<\/ul>\n<p>Sommaire:<\/p>\n<div id=\"TOC\">\n<ul>\n<li><a href=\"#fonctions-r-cles\">Fonctions R cl\u00e9s<\/a><\/li>\n<li><a href=\"#preparation-des-donnees\">Pr\u00e9paration des donn\u00e9es<\/a><\/li>\n<li><a href=\"#chargement-des-packages-r-requis\">Chargement des packages R requis<\/a><\/li>\n<li><a href=\"#line-plots-basiques\">Line plots basiques<\/a><\/li>\n<li><a href=\"#line-plot-avec-plusieurs-groupes\">Line plot avec plusieurs groupes<\/a><\/li>\n<li><a href=\"#line-plot-avec-un-axe-x-numerique\">Line plot avec un axe x num\u00e9rique<\/a><\/li>\n<li><a href=\"#line-plots-avec-les-dates-sur-laxe-des-abscisses-series-chronologiques\">Line plots avec les dates sur l\u2019axe des abscisses : S\u00e9ries chronologiques<\/a><\/li>\n<li><a href=\"#conclusion\">Conclusion<\/a><\/li>\n<\/ul>\n<\/div>\n<div class='dt-sc-hr-invisible-medium  '><\/div>\n<div class='dt-sc-ico-content type1'><div class='custom-icon' ><a href='https:\/\/www.datanovia.com\/en\/fr\/produit\/ggplot2-lessentiel-pour-une-visualisation-magnifique-des-donnees-dans-r\/' target='_blank'><span class='fa fa-book'><\/span><\/a><\/div><h4><a href='https:\/\/www.datanovia.com\/en\/fr\/produit\/ggplot2-lessentiel-pour-une-visualisation-magnifique-des-donnees-dans-r\/' target='_blank'> Livre Apparent\u00e9 <\/a><\/h4>GGPLOT2 - L\u2019Essentiel pour une Visualisation Magnifique des Donn\u00e9es dans R<\/div>\n<div class='dt-sc-hr-invisible-medium  '><\/div>\n<div id=\"fonctions-r-cles\" class=\"section level2\">\n<h2>Fonctions R cl\u00e9s<\/h2>\n<ul>\n<li>Fonctions cl\u00e9s:\n<ul>\n<li><code>geom_path()<\/code> relie les observations dans l\u2019ordre dans lequel elles apparaissent dans les donn\u00e9es.<\/li>\n<li><code>geom_line()<\/code> les relie dans l\u2019ordre de la variable sur l\u2019axe des x.<\/li>\n<li><code>geom_step()<\/code> cr\u00e9e un graphe en escalier, mettant en \u00e9vidence exactement quand les changements se produisent.<\/li>\n<\/ul>\n<\/li>\n<li>Principaux arguments pour personnaliser le graphique : alpha, color, linetype and size<\/li>\n<\/ul>\n<\/div>\n<div id=\"preparation-des-donnees\" class=\"section level2\">\n<h2>Pr\u00e9paration des donn\u00e9es<\/h2>\n<p>Nous allons cr\u00e9er deux data frames d\u00e9riv\u00e9es du jeu de donn\u00e9es <code>ToothGrowth<\/code>.<\/p>\n<pre class=\"r\"><code>df &lt;- data.frame(dose=c(\"D0.5\", \"D1\", \"D2\"),\r\n                len=c(4.2, 10, 29.5))\r\n\r\nhead(df, 4)<\/code><\/pre>\n<pre><code>##   dose  len\r\n## 1 D0.5  4.2\r\n## 2   D1 10.0\r\n## 3   D2 29.5<\/code><\/pre>\n<pre class=\"r\"><code>df2 &lt;- data.frame(supp=rep(c(\"VC\", \"OJ\"), each=3),\r\n                dose=rep(c(\"D0.5\", \"D1\", \"D2\"),2),\r\n                len=c(6.8, 15, 33, 4.2, 10, 29.5))\r\n\r\nhead(df2, 4)<\/code><\/pre>\n<pre><code>##   supp dose  len\r\n## 1   VC D0.5  6.8\r\n## 2   VC   D1 15.0\r\n## 3   VC   D2 33.0\r\n## 4   OJ D0.5  4.2<\/code><\/pre>\n<ul>\n<li><code>len<\/code>: Longueur des dents<\/li>\n<li><code>dose<\/code>: Dose en milligrammes (0,5, 1, 2)<\/li>\n<li><code>supp<\/code>: Type de suppl\u00e9ment (VC ou OJ)<\/li>\n<\/ul>\n<\/div>\n<div id=\"chargement-des-packages-r-requis\" class=\"section level2\">\n<h2>Chargement des packages R requis<\/h2>\n<p>Chargez le package ggplot2 et mettez le th\u00e8me par d\u00e9faut \u00e0 <code>theme_classic()<\/code> avec la l\u00e9gende en haut du graphique:<\/p>\n<pre class=\"r\"><code>library(ggplot2)\r\ntheme_set(\r\n  theme_classic() +\r\n    theme(legend.position = \"top\")\r\n  )<\/code><\/pre>\n<\/div>\n<div id=\"line-plots-basiques\" class=\"section level2\">\n<h2>Line plots basiques<\/h2>\n<pre class=\"r\"><code>p &lt;- ggplot(data = df, aes(x = dose, y = len, group = 1)) \r\n# Line plot basique avec des points\r\n p + geom_line() + geom_point()\r\n\r\n# Modifier le type et la couleur des lignes\r\np + geom_line(linetype = \"dashed\", color = \"steelblue\")+\r\n  geom_point(color = \"steelblue\")\r\n\r\n# Utiliser geom_step()\r\np + geom_step() + geom_point()<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/009-ggplot-line-plot-line-plot-basic-data-visualization-1.png\" width=\"192\" \/><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/009-ggplot-line-plot-line-plot-basic-data-visualization-2.png\" width=\"192\" \/><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/009-ggplot-line-plot-line-plot-basic-data-visualization-3.png\" width=\"192\" \/><\/p>\n<p>Notez que l\u2019option <code>group<\/code> d\u00e9termine les cas qui sont reli\u00e9s entre eux.<\/p>\n<\/div>\n<div id=\"line-plot-avec-plusieurs-groupes\" class=\"section level2\">\n<h2>Line plot avec plusieurs groupes<\/h2>\n<p>Dans les graphiques ci-dessous, les types de lignes et les formes de points sont contr\u00f4l\u00e9s automatiquement par les niveaux de la variable <code>supp<\/code>:<\/p>\n<pre class=\"r\"><code>p &lt;- ggplot(df2, aes(x = dose, y = len, group = supp))\r\n# Modifier les types de lignes et les formes de points par groupes\r\np + geom_line(aes(linetype = supp)) +\r\n    geom_point(aes(shape = supp))\r\n\r\n# Modifier les types de lignes, les formes de points et les couleurs\r\n# Changer de couleur manuellement : couleur personnalis\u00e9e\r\np + geom_line(aes(linetype = supp, color = supp))+\r\n    geom_point(aes(shape = supp, color = supp)) +\r\n    scale_color_manual(values=c(\"#999999\", \"#E69F00\"))<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/009-ggplot-line-plot-multiple-groups-change-line-type-data-visualization-1.png\" width=\"307.2\" \/><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/009-ggplot-line-plot-multiple-groups-change-line-type-data-visualization-2.png\" width=\"307.2\" \/><\/p>\n<\/div>\n<div id=\"line-plot-avec-un-axe-x-numerique\" class=\"section level2\">\n<h2>Line plot avec un axe x num\u00e9rique<\/h2>\n<p>Si la variable sur l\u2019axe des abscisses est num\u00e9rique, il peut \u00eatre utile de la traiter comme une variable continue ou un facteur, selon ce que vous voulez faire:<\/p>\n<pre class=\"r\"><code># Cr\u00e9er des donn\u00e9es\r\ndf3 &lt;- data.frame(supp=rep(c(\"VC\", \"OJ\"), each=3),\r\n                dose=rep(c(\"0.5\", \"1\", \"2\"),2),\r\n                len=c(6.8, 15, 33, 4.2, 10, 29.5))\r\nhead(df3)<\/code><\/pre>\n<pre><code>##   supp dose  len\r\n## 1   VC  0.5  6.8\r\n## 2   VC    1 15.0\r\n## 3   VC    2 33.0\r\n## 4   OJ  0.5  4.2\r\n## 5   OJ    1 10.0\r\n## 6   OJ    2 29.5<\/code><\/pre>\n<pre class=\"r\"><code># Axe x trait\u00e9 comme variable continue\r\ndf3$dose &lt;- as.numeric(as.vector(df3$dose))\r\nggplot(data = df3, aes(x = dose, y = len, group = supp, color = supp)) +\r\n  geom_line() + geom_point()\r\n\r\n# Axe trait\u00e9 comme variable discr\u00e8te\r\ndf3$dose&lt;-as.factor(df3$dose)\r\nggplot(data=df3, aes(x = dose, y = len, group = supp, color = supp)) +\r\n  geom_line() + geom_point()<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/009-ggplot-line-plot-line-plot-numeric-x-axis-data-visualization-1.png\" width=\"307.2\" \/><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/009-ggplot-line-plot-line-plot-numeric-x-axis-data-visualization-2.png\" width=\"307.2\" \/><\/p>\n<\/div>\n<div id=\"line-plots-avec-les-dates-sur-laxe-des-abscisses-series-chronologiques\" class=\"section level2\">\n<h2>Line plots avec les dates sur l\u2019axe des abscisses : S\u00e9ries chronologiques<\/h2>\n<p>On utilise le jeu de donn\u00e9es <code>economics<\/code> :<\/p>\n<pre class=\"r\"><code>head(economics)<\/code><\/pre>\n<pre><code>## # A tibble: 6 x 6\r\n##   date         pce    pop psavert uempmed unemploy\r\n##   &lt;date&gt;     &lt;dbl&gt;  &lt;dbl&gt;   &lt;dbl&gt;   &lt;dbl&gt;    &lt;dbl&gt;\r\n## 1 1967-07-01  507. 198712    12.6     4.5     2944\r\n## 2 1967-08-01  510. 198911    12.6     4.7     2945\r\n## 3 1967-09-01  516. 199113    11.9     4.6     2958\r\n## 4 1967-10-01  512. 199311    12.9     4.9     3143\r\n## 5 1967-11-01  517. 199498    12.8     4.7     3066\r\n## 6 1967-12-01  525. 199657    11.8     4.8     3018<\/code><\/pre>\n<p>Graphiques :<\/p>\n<pre class=\"r\"><code># Line plot basique\r\nggplot(data=economics, aes(x = date, y = pop))+\r\n  geom_line()\r\n\r\n# Tracer un sous-ensemble des donn\u00e9es\r\nss &lt;- subset(economics, date &gt; as.Date(\"2006-1-1\"))\r\nggplot(data = ss, aes(x = date, y = pop)) + geom_line()<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/009-ggplot-line-plot-line-plot-time-serie-data-data-visualization-1.png\" width=\"307.2\" \/><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/009-ggplot-line-plot-line-plot-time-serie-data-data-visualization-2.png\" width=\"307.2\" \/><\/p>\n<p>Modifier la taille de la ligne :<\/p>\n<pre class=\"r\"><code>ggplot(data = economics, aes(x = date, y = pop)) +\r\n  geom_line(aes(size = unemploy\/pop))<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/009-ggplot-line-plot-line-plot-time-serie-data-line-size-data-visualization-1.png\" width=\"480\" \/><\/p>\n<p>Tracez plusieurs s\u00e9ries chronologiques de donn\u00e9es:<\/p>\n<pre class=\"r\"><code>ggplot(economics, aes(x=date)) + \r\n  geom_line(aes(y = psavert), color = \"darkred\") + \r\n  geom_line(aes(y = uempmed), color=\"steelblue\", linetype=\"twodash\") <\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/009-ggplot-line-plot-multiple-time-series-1.png\" width=\"576\" \/><\/p>\n<pre class=\"r\"><code># Area plot\r\nggplot(economics, aes(x=date)) + \r\n  geom_area(aes(y = psavert), fill = \"#999999\", \r\n            color = \"#99999999\", alpha=0.5) + \r\n  geom_area(aes(y = uempmed), fill = \"#E69F00\",\r\n            color = \"#E69F00\", alpha=0.5) <\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/009-ggplot-line-plot-multiple-time-series-2.png\" width=\"576\" \/><\/p>\n<\/div>\n<div id=\"conclusion\" class=\"section level2\">\n<h2>Conclusion<\/h2>\n<p>Cet article montre comment cr\u00e9er des line plots \u00e0 l\u2019aide du package ggplot2.<\/p>\n<\/div>\n<\/div>\n<p><!--end rdoc--><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Dans un line plot, les observations sont ordonn\u00e9es par la valeur x et reli\u00e9es par une ligne. Cet article d\u00e9crit comment cr\u00e9er un line plot \u00e0 l&rsquo;aide du package R ggplot2. Vous apprendrez comment : 1) Cr\u00e9er des line plots de base et group\u00e9s ; 2) Ajouter des points \u00e0 un line plot ; 3) Modifier les types de lignes et les couleurs par groupe.<\/p>\n","protected":false},"author":1,"featured_media":10475,"parent":0,"menu_order":12,"comment_status":"open","ping_status":"closed","template":"","class_list":["post-10474","dt_lessons","type-dt_lessons","status-publish","has-post-thumbnail","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>GGPLOT Line Plot: Meilleure R\u00e9f\u00e9rence - Datanovia<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.datanovia.com\/en\/fr\/lessons\/ggplot-line-plot\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"GGPLOT Line Plot: Meilleure R\u00e9f\u00e9rence - Datanovia\" \/>\n<meta property=\"og:description\" content=\"Dans un line plot, les observations sont ordonn\u00e9es par la valeur x et reli\u00e9es par une ligne. Cet article d\u00e9crit comment cr\u00e9er un line plot \u00e0 l&#039;aide du package R ggplot2. Vous apprendrez comment : 1) Cr\u00e9er des line plots de base et group\u00e9s ; 2) Ajouter des points \u00e0 un line plot ; 3) Modifier les types de lignes et les couleurs par groupe.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.datanovia.com\/en\/fr\/lessons\/ggplot-line-plot\/\" \/>\n<meta property=\"og:site_name\" content=\"Datanovia\" \/>\n<meta property=\"article:modified_time\" content=\"2019-11-17T21:20:13+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/2018\/10\/Sur_le_sentier_montant_au_Pic_de_Greze.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"512\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data1\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/lessons\/ggplot-line-plot\/\",\"url\":\"https:\/\/www.datanovia.com\/en\/fr\/lessons\/ggplot-line-plot\/\",\"name\":\"GGPLOT Line Plot: Meilleure R\u00e9f\u00e9rence - Datanovia\",\"isPartOf\":{\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/lessons\/ggplot-line-plot\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/lessons\/ggplot-line-plot\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/2018\/10\/Sur_le_sentier_montant_au_Pic_de_Greze.jpg\",\"datePublished\":\"2019-11-17T21:19:33+00:00\",\"dateModified\":\"2019-11-17T21:20:13+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/lessons\/ggplot-line-plot\/#breadcrumb\"},\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.datanovia.com\/en\/fr\/lessons\/ggplot-line-plot\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/lessons\/ggplot-line-plot\/#primaryimage\",\"url\":\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/2018\/10\/Sur_le_sentier_montant_au_Pic_de_Greze.jpg\",\"contentUrl\":\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/2018\/10\/Sur_le_sentier_montant_au_Pic_de_Greze.jpg\",\"width\":1024,\"height\":512},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/lessons\/ggplot-line-plot\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.datanovia.com\/en\/fr\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Le\u00e7ons\",\"item\":\"https:\/\/www.datanovia.com\/en\/fr\/lessons\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"GGPLOT Line Plot\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/#website\",\"url\":\"https:\/\/www.datanovia.com\/en\/fr\/\",\"name\":\"Datanovia\",\"description\":\"Exploration de Donn\u00e9es et Statistiques pour l'Aide \u00e0 la D\u00e9cision\",\"publisher\":{\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.datanovia.com\/en\/fr\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"fr-FR\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/#organization\",\"name\":\"Datanovia\",\"url\":\"https:\/\/www.datanovia.com\/en\/fr\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/2018\/09\/datanovia-logo.png\",\"contentUrl\":\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/2018\/09\/datanovia-logo.png\",\"width\":98,\"height\":99,\"caption\":\"Datanovia\"},\"image\":{\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/#\/schema\/logo\/image\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"GGPLOT Line Plot: Meilleure R\u00e9f\u00e9rence - Datanovia","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.datanovia.com\/en\/fr\/lessons\/ggplot-line-plot\/","og_locale":"fr_FR","og_type":"article","og_title":"GGPLOT Line Plot: Meilleure R\u00e9f\u00e9rence - Datanovia","og_description":"Dans un line plot, les observations sont ordonn\u00e9es par la valeur x et reli\u00e9es par une ligne. 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