{"id":10351,"date":"2019-11-10T11:33:58","date_gmt":"2019-11-10T09:33:58","guid":{"rendered":"https:\/\/www.datanovia.com\/en\/?post_type=dt_lessons&#038;p=10351"},"modified":"2019-11-12T02:57:03","modified_gmt":"2019-11-12T00:57:03","slug":"analyse-de-concordance-inter-juges-codes-r-rapide","status":"publish","type":"dt_lessons","link":"https:\/\/www.datanovia.com\/en\/fr\/lessons\/analyse-de-concordance-inter-juges-codes-r-rapide\/","title":{"rendered":"Analyse de Concordance Inter-Juges: Codes R Rapide"},"content":{"rendered":"<div id=\"rdoc\">\n<p>Ce chapitre fournit du code R pour demarrer rapidement le calcul des diff\u00e9rentes mesures statistiques permettant d\u2019analyser la concordance entre \u00e9valuateurs. Il s\u2019agit notamment:<\/p>\n<ul>\n<li><em>Kappa de Cohen<\/em> : Il peut \u00eatre utilis\u00e9 pour deux variables nominales ou deux variables ordinales. Il tient compte des accords stricts entre les observateurs. Il est le plus appropri\u00e9 pour deux variables nominales.<\/li>\n<li><em>Weighted Kappa<\/em> : Il ne doit \u00eatre pris en compte que pour deux variables ordinales. Il permet un accord partiel.<\/li>\n<li><em>Kappa de Light<\/em>, qui est la moyenne du Kappa de Cohen si on utilise plus de deux variables cat\u00e9gorielles.<\/li>\n<li><em>Kappa de Fleiss<\/em> : pour deux ou plusieurs variables cat\u00e9gorielles (nominales ou ordinales)<\/li>\n<li><em>Coefficient de corr\u00e9lation intra-classe<\/em> (ICC) pour les donn\u00e9es continues ou ordinales<\/li>\n<\/ul>\n<p>Contents:<\/p>\n<div id=\"TOC\">\n<ul>\n<li><a href=\"#package-r\">Package R<\/a><\/li>\n<li><a href=\"#prerequis\">Pr\u00e9requis<\/a><\/li>\n<li><a href=\"#exemples-de-donnees\">Exemples de donn\u00e9es<\/a><\/li>\n<li><a href=\"#kappa-de-cohen-deux-evaluateurs\">Kappa de Cohen : deux \u00e9valuateurs<\/a><\/li>\n<li><a href=\"#kappa-pondere-echelles-ordinales\">Kappa pond\u00e9r\u00e9 : \u00e9chelles ordinales<\/a><\/li>\n<li><a href=\"#kappa-de-lights-evaluateurs-multiples\">Kappa de Light\u2019s : \u00e9valuateurs multiples<\/a><\/li>\n<li><a href=\"#kappa-de-fleiss-evaluateurs-multiples\">Kappa de Fleiss\u2019 : \u00e9valuateurs multiples<\/a><\/li>\n<li><a href=\"#coefficients-de-correlation-intraclasse-echelles-continues\">Coefficients de corr\u00e9lation intraclasse : \u00e9chelles continues<\/a><\/li>\n<li><a href=\"#resume\">R\u00e9sum\u00e9<\/a><\/li>\n<li><a href=\"#references\">References<\/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\/concordance-inter-juges-lessentiel-guide-pratique-dans-r\/' target='_blank'><span class='fa fa-book'><\/span><\/a><\/div><h4><a href='https:\/\/www.datanovia.com\/en\/fr\/produit\/concordance-inter-juges-lessentiel-guide-pratique-dans-r\/' target='_blank'> Livre associ\u00e9 <\/a><\/h4>Concordance Inter-Juges: L'Essentiel - Guide Pratique dans R<\/div>\n<div class='dt-sc-hr-invisible-medium  '><\/div>\n<div id=\"package-r\" class=\"section level2\">\n<h2>Package R<\/h2>\n<p>Il existe de nombreux packages et fonctions R pour l\u2019analyse des accords inter-\u00e9valuateurs, notamment:<\/p>\n<table>\n<thead>\n<tr class=\"header\">\n<th>Mesures<\/th>\n<th>Fonction R [package]<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr class=\"odd\">\n<td>kappa de Cohen<\/td>\n<td>Kappa()[vcd], kappa2()[irr]<\/td>\n<\/tr>\n<tr class=\"even\">\n<td>kappa pond\u00e9r\u00e9<\/td>\n<td>Kappa()[vcd], kappa2()[irr], kappa2()<\/td>\n<\/tr>\n<tr class=\"odd\">\n<td>Kappa de Light<\/td>\n<td>kappam.light()[irr]<\/td>\n<\/tr>\n<tr class=\"even\">\n<td>Kappa de Fleiss<\/td>\n<td>kappam.fleiss()[irr]<\/td>\n<\/tr>\n<tr class=\"odd\">\n<td>ICC<\/td>\n<td>icc()[irr], ICC()[psych], ICC()[psych]<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div id=\"prerequis\" class=\"section level2\">\n<h2>Pr\u00e9requis<\/h2>\n<p>Dans les sections suivantes, nous n\u2019utiliserons que les fonctions du package <code>irr<\/code>. Assurez-vous de l\u2019avoir install\u00e9.<\/p>\n<p>Charger le package:<\/p>\n<pre class=\"r\"><code># install.packages(\"irr\")\r\nlibrary(irr)<\/code><\/pre>\n<\/div>\n<div id=\"exemples-de-donnees\" class=\"section level2\">\n<h2>Exemples de donn\u00e9es<\/h2>\n<ul>\n<li>donn\u00e9es psychiatriques <strong>diagnoses<\/strong> fournies par 6 \u00e9valuateurs [irr package]. Au total, 30 patients ont \u00e9t\u00e9 recrut\u00e9s et class\u00e9s par chacun des \u00e9valuateurs dans 5 cat\u00e9gories nominales <span class=\"citation\">(Fleiss and others 1971)<\/span> : 1. D\u00e9pression, 2. Trouble de la personnalit\u00e9, 3. Schizophr\u00e9nie, 4. N\u00e9vrose, 5. Autre.<\/li>\n<li><strong>donn\u00e9es sur l\u2019anxi\u00e9t\u00e9<\/strong> [package irr], contenant le diagnostic de l\u2019anxi\u00e9t\u00e9 chez 20 individus, evalu\u00e9 par 3 \u00e9valuateurs sur une \u00e9chelle ordinale. Les valeurs vont de 1 (pas du tout anxieux) \u00e0 6 (extr\u00eamement anxieux).<\/li>\n<\/ul>\n<p>Inspecter les donn\u00e9es:<\/p>\n<pre class=\"r\"><code># Donn\u00e9es de diagnostic\r\ndata(\"diagnoses\", package = \"irr\")\r\nhead(diagnoses[, 1:3])<\/code><\/pre>\n<pre><code>##                    rater1                  rater2                  rater3\r\n## 1             4. Neurosis             4. Neurosis             4. Neurosis\r\n## 2 2. Personality Disorder 2. Personality Disorder 2. Personality Disorder\r\n## 3 2. Personality Disorder        3. Schizophrenia        3. Schizophrenia\r\n## 4                5. Other                5. Other                5. Other\r\n## 5 2. Personality Disorder 2. Personality Disorder 2. Personality Disorder\r\n## 6           1. Depression           1. Depression        3. Schizophrenia<\/code><\/pre>\n<pre class=\"r\"><code># Donn\u00e9es sur l'anxi\u00e9t\u00e9\r\ndata(\"anxiety\", package = \"irr\")\r\nhead(anxiety, 4)<\/code><\/pre>\n<pre><code>##   rater1 rater2 rater3\r\n## 1      3      3      2\r\n## 2      3      6      1\r\n## 3      3      4      4\r\n## 4      4      6      4<\/code><\/pre>\n<\/div>\n<div id=\"kappa-de-cohen-deux-evaluateurs\" class=\"section level2\">\n<h2>Kappa de Cohen : deux \u00e9valuateurs<\/h2>\n<p>La kappa de Cohen correspond au kappa non pond\u00e9r\u00e9e. Il peut \u00eatre utilis\u00e9 pour deux variables nominales ou deux variables cat\u00e9gorielles ordinales<\/p>\n<pre class=\"r\"><code>kappa2(diagnoses[, c(\"rater1\", \"rater2\")], weight = \"unweighted\")<\/code><\/pre>\n<pre><code>##  Cohen's Kappa for 2 Raters (Weights: unweighted)\r\n## \r\n##  Subjects = 30 \r\n##    Raters = 2 \r\n##     Kappa = 0.651 \r\n## \r\n##         z = 7 \r\n##   p-value = 2.63e-12<\/code><\/pre>\n<\/div>\n<div id=\"kappa-pondere-echelles-ordinales\" class=\"section level2\">\n<h2>Kappa pond\u00e9r\u00e9 : \u00e9chelles ordinales<\/h2>\n<p>La kappa pond\u00e9r\u00e9e ne devrait \u00eatre prise en compte que lorsque les \u00e9valuations sont calcul\u00e9es selon une \u00e9chelle ordinale, comme dans l\u2019exemple suivant.<\/p>\n<pre class=\"r\"><code>kappa2(anxiety[, c(\"rater1\", \"rater2\")], weight = \"equal\")<\/code><\/pre>\n<\/div>\n<div id=\"kappa-de-lights-evaluateurs-multiples\" class=\"section level2\">\n<h2>Kappa de Light\u2019s : \u00e9valuateurs multiples<\/h2>\n<p>Il retourne le kappa moyen de Cohen lorsque vous avez plusieurs \u00e9valuateurs<\/p>\n<pre class=\"r\"><code>kappam.light(diagnoses[, 1:3])<\/code><\/pre>\n<pre><code>##  Light's Kappa for m Raters\r\n## \r\n##  Subjects = 30 \r\n##    Raters = 3 \r\n##     Kappa = 0.555 \r\n## \r\n##         z = NaN \r\n##   p-value = NaN<\/code><\/pre>\n<\/div>\n<div id=\"kappa-de-fleiss-evaluateurs-multiples\" class=\"section level2\">\n<h2>Kappa de Fleiss\u2019 : \u00e9valuateurs multiples<\/h2>\n<p>Les \u00e9valuateurs ne sont pas suppos\u00e9s \u00eatre les m\u00eames pour tous les sujets.<\/p>\n<pre class=\"r\"><code>kappam.fleiss(diagnoses[, 1:3])<\/code><\/pre>\n<pre><code>##  Fleiss' Kappa for m Raters\r\n## \r\n##  Subjects = 30 \r\n##    Raters = 3 \r\n##     Kappa = 0.534 \r\n## \r\n##         z = 9.89 \r\n##   p-value = 0<\/code><\/pre>\n<\/div>\n<div id=\"coefficients-de-correlation-intraclasse-echelles-continues\" class=\"section level2\">\n<h2>Coefficients de corr\u00e9lation intraclasse : \u00e9chelles continues<\/h2>\n<p>Pour en savoir plus, lisez le chapitre @ref(coefficient de corr\u00e9lation intra-classe):<\/p>\n<pre class=\"r\"><code>icc(\r\n  anxiety, model = \"twoway\", \r\n  type = \"agreement\", unit = \"single\"\r\n  )<\/code><\/pre>\n<pre><code>##  Single Score Intraclass Correlation\r\n## \r\n##    Model: twoway \r\n##    Type : agreement \r\n## \r\n##    Subjects = 20 \r\n##      Raters = 3 \r\n##    ICC(A,1) = 0.198\r\n## \r\n##  F-Test, H0: r0 = 0 ; H1: r0 &gt; 0 \r\n##  F(19,39.7) = 1.83 , p = 0.0543 \r\n## \r\n##  95%-Confidence Interval for ICC Population Values:\r\n##   -0.039 &lt; ICC &lt; 0.494<\/code><\/pre>\n<\/div>\n<div id=\"resume\" class=\"section level2\">\n<h2>R\u00e9sum\u00e9<\/h2>\n<p>Cet article d\u00e9crit comment calculer les diff\u00e9rentes mesures de l\u2019accord inter-\u00e9valuateurs \u00e0 l\u2019aide des packages \u201cirr\u201d.<\/p>\n<\/div>\n<div id=\"references\" class=\"section level2 unnumbered\">\n<h2>References<\/h2>\n<div id=\"refs\" class=\"references\">\n<div id=\"ref-Fleiss1971\">\n<p>Fleiss, J.L., and others. 1971. \u201cMeasuring Nominal Scale Agreement Among Many Raters.\u201d <em>Psychological Bulletin<\/em> 76 (5): 378\u201382.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p><!--end rdoc--><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Cet article d\u00e9crit comment calculer les diff\u00e9rentes mesures de concordance inter-juges \u00e0 l&rsquo;aide du packages irr.<\/p>\n","protected":false},"author":1,"featured_media":10352,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","class_list":["post-10351","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>Analyse de Concordance Inter-Juges: Codes R Rapide - 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\/analyse-de-concordance-inter-juges-codes-r-rapide\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Analyse de Concordance Inter-Juges: Codes R Rapide - Datanovia\" \/>\n<meta property=\"og:description\" content=\"Cet article d\u00e9crit comment calculer les diff\u00e9rentes mesures de concordance inter-juges \u00e0 l&#039;aide du packages irr.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.datanovia.com\/en\/fr\/lessons\/analyse-de-concordance-inter-juges-codes-r-rapide\/\" \/>\n<meta property=\"og:site_name\" content=\"Datanovia\" \/>\n<meta property=\"article:modified_time\" content=\"2019-11-12T00:57:03+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/2019\/05\/P1040336.JPG.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=\"3 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\/analyse-de-concordance-inter-juges-codes-r-rapide\/\",\"url\":\"https:\/\/www.datanovia.com\/en\/fr\/lessons\/analyse-de-concordance-inter-juges-codes-r-rapide\/\",\"name\":\"Analyse de Concordance Inter-Juges: Codes R Rapide - Datanovia\",\"isPartOf\":{\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/lessons\/analyse-de-concordance-inter-juges-codes-r-rapide\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/lessons\/analyse-de-concordance-inter-juges-codes-r-rapide\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/2019\/05\/P1040336.JPG.jpg\",\"datePublished\":\"2019-11-10T09:33:58+00:00\",\"dateModified\":\"2019-11-12T00:57:03+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/lessons\/analyse-de-concordance-inter-juges-codes-r-rapide\/#breadcrumb\"},\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.datanovia.com\/en\/fr\/lessons\/analyse-de-concordance-inter-juges-codes-r-rapide\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/lessons\/analyse-de-concordance-inter-juges-codes-r-rapide\/#primaryimage\",\"url\":\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/2019\/05\/P1040336.JPG.jpg\",\"contentUrl\":\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/2019\/05\/P1040336.JPG.jpg\",\"width\":1024,\"height\":512},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.datanovia.com\/en\/fr\/lessons\/analyse-de-concordance-inter-juges-codes-r-rapide\/#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\":\"Analyse de Concordance Inter-Juges: Codes R Rapide\"}]},{\"@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":"Analyse de Concordance Inter-Juges: Codes R Rapide - 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\/analyse-de-concordance-inter-juges-codes-r-rapide\/","og_locale":"fr_FR","og_type":"article","og_title":"Analyse de Concordance Inter-Juges: Codes R Rapide - Datanovia","og_description":"Cet article d\u00e9crit comment calculer les diff\u00e9rentes mesures de concordance inter-juges \u00e0 l'aide du packages irr.","og_url":"https:\/\/www.datanovia.com\/en\/fr\/lessons\/analyse-de-concordance-inter-juges-codes-r-rapide\/","og_site_name":"Datanovia","article_modified_time":"2019-11-12T00:57:03+00:00","og_image":[{"width":1024,"height":512,"url":"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/2019\/05\/P1040336.JPG.jpg","type":"image\/jpeg"}],"twitter_card":"summary_large_image","twitter_misc":{"Dur\u00e9e de lecture estim\u00e9e":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.datanovia.com\/en\/fr\/lessons\/analyse-de-concordance-inter-juges-codes-r-rapide\/","url":"https:\/\/www.datanovia.com\/en\/fr\/lessons\/analyse-de-concordance-inter-juges-codes-r-rapide\/","name":"Analyse de Concordance Inter-Juges: Codes R Rapide - Datanovia","isPartOf":{"@id":"https:\/\/www.datanovia.com\/en\/fr\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.datanovia.com\/en\/fr\/lessons\/analyse-de-concordance-inter-juges-codes-r-rapide\/#primaryimage"},"image":{"@id":"https:\/\/www.datanovia.com\/en\/fr\/lessons\/analyse-de-concordance-inter-juges-codes-r-rapide\/#primaryimage"},"thumbnailUrl":"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/2019\/05\/P1040336.JPG.jpg","datePublished":"2019-11-10T09:33:58+00:00","dateModified":"2019-11-12T00:57:03+00:00","breadcrumb":{"@id":"https:\/\/www.datanovia.com\/en\/fr\/lessons\/analyse-de-concordance-inter-juges-codes-r-rapide\/#breadcrumb"},"inLanguage":"fr-FR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.datanovia.com\/en\/fr\/lessons\/analyse-de-concordance-inter-juges-codes-r-rapide\/"]}]},{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/www.datanovia.com\/en\/fr\/lessons\/analyse-de-concordance-inter-juges-codes-r-rapide\/#primaryimage","url":"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/2019\/05\/P1040336.JPG.jpg","contentUrl":"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/2019\/05\/P1040336.JPG.jpg","width":1024,"height":512},{"@type":"BreadcrumbList","@id":"https:\/\/www.datanovia.com\/en\/fr\/lessons\/analyse-de-concordance-inter-juges-codes-r-rapide\/#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":"Analyse de Concordance Inter-Juges: Codes R Rapide"}]},{"@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\/"}}]}},"multi-rating":{"mr_rating_results":[]},"_links":{"self":[{"href":"https:\/\/www.datanovia.com\/en\/fr\/wp-json\/wp\/v2\/dt_lessons\/10351","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.datanovia.com\/en\/fr\/wp-json\/wp\/v2\/dt_lessons"}],"about":[{"href":"https:\/\/www.datanovia.com\/en\/fr\/wp-json\/wp\/v2\/types\/dt_lessons"}],"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=10351"}],"version-history":[{"count":0,"href":"https:\/\/www.datanovia.com\/en\/fr\/wp-json\/wp\/v2\/dt_lessons\/10351\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.datanovia.com\/en\/fr\/wp-json\/wp\/v2\/media\/10352"}],"wp:attachment":[{"href":"https:\/\/www.datanovia.com\/en\/fr\/wp-json\/wp\/v2\/media?parent=10351"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}