{"id":10615,"date":"2019-11-19T23:10:46","date_gmt":"2019-11-19T21:10:46","guid":{"rendered":"https:\/\/www.datanovia.com\/en\/?p=10615"},"modified":"2019-11-19T23:10:46","modified_gmt":"2019-11-19T21:10:46","slug":"ggplot-limites-et-echelles-des-axes","status":"publish","type":"post","link":"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/","title":{"rendered":"GGPLOT Limites et Echelles des Axes"},"content":{"rendered":"<div id=\"rdoc\">\n<p>Cet article d\u00e9crit les fonctions R permettant de modifier les <strong>limites des axes<\/strong> (ou <strong>\u00e9chelles<\/strong>). Nous allons d\u00e9crire comment sp\u00e9cifier les valeurs minimales et maximales des axes.<\/p>\n<p>Parmi les diff\u00e9rentes fonctions disponibles dans ggplot2 pour d\u00e9finir la limite d\u2019axes, la fonction <code>coord_cartesian()<\/code> est la plus pr\u00e9f\u00e9r\u00e9e, car elle permet de zoomer le graphique sans couper les donn\u00e9es.<\/p>\n<p>Dans ce tutoriel graphique R, vous apprendrez \u00e0:<\/p>\n<ul>\n<li><strong>Modifier les limites des axes<\/strong> en utilisant <code>coord_cartesian()<\/code>, <code>xlim()<\/code>, <code>ylim()<\/code> et plus encore.<\/li>\n<li><strong>Mettre l\u2019interception des axes x et y<\/strong> \u00e0 z\u00e9ro (0,0).<\/li>\n<li><strong>Expansion des limites des graphiques<\/strong> pour s\u2019assurer que les limites incluent une valeur unique pour tous les graphiques ou panneaux.<\/li>\n<\/ul>\n<p>Sommaire:<\/p>\n<div id=\"TOC\">\n<ul>\n<li><a href=\"#fonctions-cles-de-ggplot2\">Fonctions cl\u00e9s de ggplot2<\/a><\/li>\n<li><a href=\"#modifier-les-limites-des-axes\">Modifier les limites des axes<\/a>\n<ul>\n<li><a href=\"#utiliser-coord_cartesian\">Utiliser coord_cartesian<\/a><\/li>\n<li><a href=\"#utiliser-xlim-et-ylim\">Utiliser xlim et ylim<\/a><\/li>\n<li><a href=\"#utiliser-scale_x_continuous-et-scale_y_continuous\">Utiliser scale_x_continuous et scale_y_continuous<\/a><\/li>\n<\/ul>\n<\/li>\n<li><a href=\"#agrandir-les-limites-du-graphique\">Agrandir les limites du graphique<\/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-cles-de-ggplot2\" class=\"section level2\">\n<h2>Fonctions cl\u00e9s de ggplot2<\/h2>\n<p>Commencez par cr\u00e9er un nuage de points \u00e0 l\u2019aide du jeu de donn\u00e9es <code>cars<\/code>:<\/p>\n<pre class=\"r\"><code>library(ggplot2)\r\np &lt;- ggplot(cars, aes(x = speed, y = dist)) + \r\n  geom_point()<\/code><\/pre>\n<p><strong>3 fonctions cl\u00e9s sont disponibles pour r\u00e9gler les limites et les \u00e9chelles des axes<\/strong>:<\/p>\n<ol style=\"list-style-type: decimal;\">\n<li>Sans couper (de pr\u00e9f\u00e9rence). coordonn\u00e9es cart\u00e9siennes. Le syst\u00e8me de coordonn\u00e9es cart\u00e9siennes est le type de syst\u00e8me de coordonn\u00e9es le plus courant. Il zoomera le graphique, sans couper les donn\u00e9es.<\/li>\n<\/ol>\n<pre class=\"r\"><code>p + coord_cartesian(xlim = c(5, 20), ylim = c(0, 50))<\/code><\/pre>\n<ol style=\"list-style-type: decimal;\" start=\"2\">\n<li>Avec le rognage des donn\u00e9es (supprime les points de donn\u00e9es invisibles). Les observations qui ne se situent pas dans cette plage seront compl\u00e8tement abandonn\u00e9es et ne seront pas transmises \u00e0 d\u2019autres couches.<\/li>\n<\/ol>\n<pre class=\"r\"><code># Utilisez ceci\r\np + scale_x_continuous(limits = c(5, 20)) + \r\n  scale_y_continuous(limits = c(0, 50))\r\n\r\n# Ou cette fonction\r\np + xlim(5, 20) + ylim(0, 50)<\/code><\/pre>\n<div class=\"warning\">\n<p>Notez que, <code>scale_x_continuous()<\/code> et <code>scale_y_continuous()<\/code> suppriment tous les points de donn\u00e9es en dehors de la limite donn\u00e9e et, la fonction <code>coord_cartesian()<\/code> ajuste seulement la zone visible.<\/p>\n<p>Dans la plupart des cas, vous ne verrez pas la diff\u00e9rence, mais si vous ajustez quoi que ce soit aux donn\u00e9es, les fonctions <code>scale_x_continuous() \/ scale_y_continuous()<\/code> changeront probablement les valeurs ajust\u00e9es.<\/p>\n<\/div>\n<ol style=\"list-style-type: decimal;\" start=\"3\">\n<li>Etendre les limites des graphiques pour s\u2019assurer qu\u2019une valeur donn\u00e9e est incluse dans tous les panneaux ou dans tous les graphiques.<\/li>\n<\/ol>\n<pre class=\"r\"><code># fixer l'interception des axes x et y \u00e0 (0,0)\r\np + expand_limits(x = 0, y = 0)\r\n\r\n# Agrandir les limites du graphique\r\np + expand_limits(x = c(5, 50), y = c(0, 150))<\/code><\/pre>\n<\/div>\n<div id=\"modifier-les-limites-des-axes\" class=\"section level2\">\n<h2>Modifier les limites des axes<\/h2>\n<div id=\"utiliser-coord_cartesian\" class=\"section level3\">\n<h3>Utiliser coord_cartesian<\/h3>\n<p>Syst\u00e8me de coordonn\u00e9es le plus courant (de pr\u00e9f\u00e9rence). Zoomer le graphique.<\/p>\n<pre class=\"r\"><code># Graphique par d\u00e9faut\r\nprint(p)\r\n\r\n# Modifier les limites des axes \u00e0 l'aide de coord_cartesian()\r\np + coord_cartesian(xlim =c(5, 20), ylim = c(0, 50))<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/022-ggplot-axis-limits-and-scales-coord_cartesian-1.png\" width=\"288\" \/><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/022-ggplot-axis-limits-and-scales-coord_cartesian-2.png\" width=\"288\" \/><\/p>\n<\/div>\n<div id=\"utiliser-xlim-et-ylim\" class=\"section level3\">\n<h3>Utiliser xlim et ylim<\/h3>\n<ul>\n<li>p + xlim(min, max) : modifier les limites de l\u2019axe x<\/li>\n<li>p + ylim(min, max) : modifier les limites de l\u2019axe y<\/li>\n<\/ul>\n<p>Toute valeur en dehors des limites sera remplac\u00e9e par NA et supprim\u00e9e.<\/p>\n<pre class=\"r\"><code>p + xlim(5, 20) + ylim(0, 50)<\/code><\/pre>\n<\/div>\n<div id=\"utiliser-scale_x_continuous-et-scale_y_continuous\" class=\"section level3\">\n<h3>Utiliser scale_x_continuous et scale_y_continuous<\/h3>\n<p>Permet de modifier en m\u00eame temps les \u00e9chelles des axes et les \u00e9tiquettes, respectivement:<\/p>\n<pre class=\"r\"><code>p + scale_x_continuous(name = \"Speed of cars\", limits = c(0, 30)) +\r\n  scale_y_continuous(name = \"Stopping distance\", limits = c(0, 150))<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/022-ggplot-axis-limits-and-scales-scale-continuous-1.png\" width=\"240\" \/><\/p>\n<\/div>\n<\/div>\n<div id=\"agrandir-les-limites-du-graphique\" class=\"section level2\">\n<h2>Agrandir les limites du graphique<\/h2>\n<p>Fonction cl\u00e9 <code>expand_limits()<\/code>. Peut \u00eatre utilis\u00e9 pour :<\/p>\n<ul>\n<li>met rapidement l\u2019interception des axes x et y \u00e0 (0,0)<\/li>\n<li>\u00e9tendre les limites des axes x et y<\/li>\n<\/ul>\n<pre class=\"r\"><code># mettre l'interception des axes x et y sur (0,0)\r\np + expand_limits(x = 0, y = 0)\r\n\r\n# modifier les limites des axes\r\np + expand_limits(x=c(0,30), y=c(0, 150))<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/022-ggplot-axis-limits-and-scales-expand-limits-1.png\" width=\"288\" \/><img decoding=\"async\" src=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/dn-tutorials\/ggplot2\/figures\/022-ggplot-axis-limits-and-scales-expand-limits-2.png\" width=\"288\" \/><\/p>\n<\/div>\n<div id=\"conclusion\" class=\"section level2\">\n<h2>Conclusion<\/h2>\n<ul>\n<li>Cr\u00e9er un exemple de ggplot:<\/li>\n<\/ul>\n<pre class=\"r\"><code>library(ggplot2)\r\np &lt;- ggplot(cars, aes(x = speed, y = dist)) + \r\n  geom_point()<\/code><\/pre>\n<ul>\n<li>D\u00e9finir les limites des axes ggplot:<\/li>\n<\/ul>\n<pre class=\"r\"><code>p + coord_cartesian(xlim = c(5, 20), ylim = (0, 50))<\/code><\/pre>\n<ul>\n<li>D\u00e9finir l\u2019interception des axes x et y \u00e0 z\u00e9ro (0, 0):<\/li>\n<\/ul>\n<pre class=\"r\"><code>p + expand_limits(x = 0, y = 0)<\/code><\/pre>\n<\/div>\n<\/div>\n<p><!--end rdoc--><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Cet article d\u00e9crit les fonctions R permettant de modifier les limites des axes (ou \u00e9chelles). Nous allons d\u00e9crire comment sp\u00e9cifier les valeurs minimales et maximales des axes. Parmi les diff\u00e9rentes [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":10616,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"rating_form_position":"","rating_results_position":"","mr_structured_data_type":"","footnotes":""},"categories":[279],"tags":[316],"class_list":["post-10615","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ggplot2-fr","tag-parametres-graphiques-ggplot2"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>GGPLOT Limites et Echelles des Axes: Am\u00e9liorez en 2 Mins - Datanovia<\/title>\n<meta name=\"description\" content=\"Vous apprendrez la meilleure strat\u00e9gie pour sp\u00e9cifier les valeurs minimales et maximales des axes. Nous montrerons aussi comment mettre l&#039;interception des axes des x et y \u00e0 z\u00e9ro.\" \/>\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\/blog\/ggplot-limites-et-echelles-des-axes\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"GGPLOT Limites et Echelles des Axes: Am\u00e9liorez en 2 Mins - Datanovia\" \/>\n<meta property=\"og:description\" content=\"Vous apprendrez la meilleure strat\u00e9gie pour sp\u00e9cifier les valeurs minimales et maximales des axes. Nous montrerons aussi comment mettre l&#039;interception des axes des x et y \u00e0 z\u00e9ro.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/\" \/>\n<meta property=\"og:site_name\" content=\"Datanovia\" \/>\n<meta property=\"article:published_time\" content=\"2019-11-19T21:10:46+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/2018\/10\/IMG_0495.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=\"author\" content=\"Alboukadel\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"Alboukadel\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/\"},\"author\":{\"name\":\"Alboukadel\",\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/#\/schema\/person\/7767cf2bd5c91a1610c6eb53a0ff069e\"},\"headline\":\"GGPLOT Limites et Echelles des Axes\",\"datePublished\":\"2019-11-19T21:10:46+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/\"},\"wordCount\":532,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/2018\/10\/IMG_0495.jpg\",\"keywords\":[\"Param\u00e8tres Graphiques GGPLOT2\"],\"articleSection\":[\"ggplot2\"],\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/\",\"url\":\"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/\",\"name\":\"GGPLOT Limites et Echelles des Axes: Am\u00e9liorez en 2 Mins - Datanovia\",\"isPartOf\":{\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/2018\/10\/IMG_0495.jpg\",\"datePublished\":\"2019-11-19T21:10:46+00:00\",\"description\":\"Vous apprendrez la meilleure strat\u00e9gie pour sp\u00e9cifier les valeurs minimales et maximales des axes. Nous montrerons aussi comment mettre l'interception des axes des x et y \u00e0 z\u00e9ro.\",\"breadcrumb\":{\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/#breadcrumb\"},\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/#primaryimage\",\"url\":\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/2018\/10\/IMG_0495.jpg\",\"contentUrl\":\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/2018\/10\/IMG_0495.jpg\",\"width\":1024,\"height\":512},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.datanovia.com\/en\/fr\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"GGPLOT Limites et Echelles des Axes\"}]},{\"@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\/\"}},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/#\/schema\/person\/7767cf2bd5c91a1610c6eb53a0ff069e\",\"name\":\"Alboukadel\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/ed3108646c5c7c3d188324ab972f96ad7d9975b41b94014d7f68257791be395a?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/ed3108646c5c7c3d188324ab972f96ad7d9975b41b94014d7f68257791be395a?s=96&d=mm&r=g\",\"caption\":\"Alboukadel\"},\"url\":\"https:\/\/www.datanovia.com\/en\/fr\/blog\/author\/kassambara\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"GGPLOT Limites et Echelles des Axes: Am\u00e9liorez en 2 Mins - Datanovia","description":"Vous apprendrez la meilleure strat\u00e9gie pour sp\u00e9cifier les valeurs minimales et maximales des axes. Nous montrerons aussi comment mettre l'interception des axes des x et y \u00e0 z\u00e9ro.","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\/blog\/ggplot-limites-et-echelles-des-axes\/","og_locale":"fr_FR","og_type":"article","og_title":"GGPLOT Limites et Echelles des Axes: Am\u00e9liorez en 2 Mins - Datanovia","og_description":"Vous apprendrez la meilleure strat\u00e9gie pour sp\u00e9cifier les valeurs minimales et maximales des axes. Nous montrerons aussi comment mettre l'interception des axes des x et y \u00e0 z\u00e9ro.","og_url":"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/","og_site_name":"Datanovia","article_published_time":"2019-11-19T21:10:46+00:00","og_image":[{"width":1024,"height":512,"url":"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/2018\/10\/IMG_0495.jpg","type":"image\/jpeg"}],"author":"Alboukadel","twitter_card":"summary_large_image","twitter_misc":{"\u00c9crit par":"Alboukadel","Dur\u00e9e de lecture estim\u00e9e":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/#article","isPartOf":{"@id":"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/"},"author":{"name":"Alboukadel","@id":"https:\/\/www.datanovia.com\/en\/fr\/#\/schema\/person\/7767cf2bd5c91a1610c6eb53a0ff069e"},"headline":"GGPLOT Limites et Echelles des Axes","datePublished":"2019-11-19T21:10:46+00:00","mainEntityOfPage":{"@id":"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/"},"wordCount":532,"commentCount":0,"publisher":{"@id":"https:\/\/www.datanovia.com\/en\/fr\/#organization"},"image":{"@id":"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/#primaryimage"},"thumbnailUrl":"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/2018\/10\/IMG_0495.jpg","keywords":["Param\u00e8tres Graphiques GGPLOT2"],"articleSection":["ggplot2"],"inLanguage":"fr-FR","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/","url":"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/","name":"GGPLOT Limites et Echelles des Axes: Am\u00e9liorez en 2 Mins - Datanovia","isPartOf":{"@id":"https:\/\/www.datanovia.com\/en\/fr\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/#primaryimage"},"image":{"@id":"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/#primaryimage"},"thumbnailUrl":"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/2018\/10\/IMG_0495.jpg","datePublished":"2019-11-19T21:10:46+00:00","description":"Vous apprendrez la meilleure strat\u00e9gie pour sp\u00e9cifier les valeurs minimales et maximales des axes. Nous montrerons aussi comment mettre l'interception des axes des x et y \u00e0 z\u00e9ro.","breadcrumb":{"@id":"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/#breadcrumb"},"inLanguage":"fr-FR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/"]}]},{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/#primaryimage","url":"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/2018\/10\/IMG_0495.jpg","contentUrl":"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/2018\/10\/IMG_0495.jpg","width":1024,"height":512},{"@type":"BreadcrumbList","@id":"https:\/\/www.datanovia.com\/en\/fr\/blog\/ggplot-limites-et-echelles-des-axes\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.datanovia.com\/en\/fr\/"},{"@type":"ListItem","position":2,"name":"GGPLOT Limites et Echelles des Axes"}]},{"@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\/"}},{"@type":"Person","@id":"https:\/\/www.datanovia.com\/en\/fr\/#\/schema\/person\/7767cf2bd5c91a1610c6eb53a0ff069e","name":"Alboukadel","image":{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/www.datanovia.com\/en\/fr\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/ed3108646c5c7c3d188324ab972f96ad7d9975b41b94014d7f68257791be395a?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/ed3108646c5c7c3d188324ab972f96ad7d9975b41b94014d7f68257791be395a?s=96&d=mm&r=g","caption":"Alboukadel"},"url":"https:\/\/www.datanovia.com\/en\/fr\/blog\/author\/kassambara\/"}]}},"multi-rating":{"mr_rating_results":[]},"_links":{"self":[{"href":"https:\/\/www.datanovia.com\/en\/fr\/wp-json\/wp\/v2\/posts\/10615","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.datanovia.com\/en\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.datanovia.com\/en\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.datanovia.com\/en\/fr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.datanovia.com\/en\/fr\/wp-json\/wp\/v2\/comments?post=10615"}],"version-history":[{"count":1,"href":"https:\/\/www.datanovia.com\/en\/fr\/wp-json\/wp\/v2\/posts\/10615\/revisions"}],"predecessor-version":[{"id":10617,"href":"https:\/\/www.datanovia.com\/en\/fr\/wp-json\/wp\/v2\/posts\/10615\/revisions\/10617"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.datanovia.com\/en\/fr\/wp-json\/wp\/v2\/media\/10616"}],"wp:attachment":[{"href":"https:\/\/www.datanovia.com\/en\/fr\/wp-json\/wp\/v2\/media?parent=10615"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.datanovia.com\/en\/fr\/wp-json\/wp\/v2\/categories?post=10615"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.datanovia.com\/en\/fr\/wp-json\/wp\/v2\/tags?post=10615"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}