{"id":184846,"date":"2022-12-19T07:32:13","date_gmt":"2022-12-19T07:32:13","guid":{"rendered":"https:\/\/datascientest.com\/?p=184846"},"modified":"2023-11-09T13:55:12","modified_gmt":"2023-11-09T13:55:12","slug":"pie-charts-tout-savoir","status":"publish","type":"post","link":"https:\/\/datascientest.com\/pie-charts-tout-savoir","title":{"rendered":"Pie Charts ou \u00ab\u00a0Camemberts\u00a0\u00bb : Comment utiliser ces diagrammes ?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"184846\" class=\"elementor elementor-184846\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8828ce1 e-flex e-con-boxed e-con\" data-id=\"8828ce1\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b6a06e0 elementor-widget elementor-widget-heading\" data-id=\"b6a06e0\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">Les diagrammes en pie chart (plus commun\u00e9ment appel\u00e9s \"camembert\" dans la langue de Moli\u00e8re) font certainement partie des types de graphiques les plus connus. Ils sont utilis\u00e9s pour repr\u00e9senter un petit nombre de variables r\u00e9parties en \u201cpart\u201d ou secteurs dont la taille est fonction de la valeur. <\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0a85b1d elementor-widget elementor-widget-text-editor\" data-id=\"0a85b1d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p>Tr\u00e8s pr\u00e9sents dans le monde du journalisme ou encore de la finance, ils sont en revanche plus rares dans la data. La raison \u00e0 cela est principalement due au fait que les <a href=\"https:\/\/datascientest.com\/data-engineer-tout-savoir\">Data Engineers<\/a> ou les <a href=\"https:\/\/datascientest.com\/metier-data-analyst\">Data Analysts<\/a> pr\u00e9f\u00e8rent des <strong>types de graphiques plus pr\u00e9cis<\/strong> pour pr\u00e9senter leurs donn\u00e9es.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8c8d08e e-flex e-con-boxed e-con\" data-id=\"8c8d08e\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2e10b03 elementor-widget elementor-widget-heading\" data-id=\"2e10b03\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Dans quels cas peut-on utiliser les pie charts ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2d5f785 elementor-widget elementor-widget-text-editor\" data-id=\"2d5f785\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul><li>Lorsque les donn\u00e9es \u00e0 repr\u00e9senter ne d\u00e9passent pas <strong>7 variables<\/strong>. En effet, au-del\u00e0 ; il devient difficile d\u2019analyser diff\u00e9rents angles et ainsi comprendre les proportions.<\/li><li>Id\u00e9alement lorsqu\u2019une cat\u00e9gorie d\u00e9passe les autres largement, le lecteur aura ainsi une<strong> vision \u00e9vidente de la part la plus repr\u00e9sent\u00e9e<\/strong><\/li><li>Pour faire comprendre rapidement et simplement de larges volumes de donn\u00e9es r\u00e9parties en seulement quelques cat\u00e9gories<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-fca933f e-flex e-con-boxed e-con\" data-id=\"fca933f\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4fe303c elementor-widget elementor-widget-heading\" data-id=\"4fe303c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Quand ne pas les utiliser ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3858f15 elementor-widget elementor-widget-text-editor\" data-id=\"3858f15\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul><li>Si les donn\u00e9es \u00e0 visualiser repr\u00e9sentent un trop grand nombre de variables<\/li><li>Lorsque les valeurs des donn\u00e9es sont \u00e9quitablement r\u00e9parties (ou \u00e0 peu pr\u00e8s)<\/li><li>Si les donn\u00e9es peuvent \u00eatre n\u00e9gatives (effectivement, il est impossible de repr\u00e9senter des valeurs n\u00e9gatives avec un pie chart), ou lorsque les pourcentages n\u2019atteignent pas les 100%<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7133ff2 e-flex e-con-boxed e-con\" data-id=\"7133ff2\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f4800d9 elementor-widget elementor-widget-heading\" data-id=\"f4800d9\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Comment utiliser les pie charts au mieux ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-81f1d94 elementor-widget elementor-widget-text-editor\" data-id=\"81f1d94\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Lorsque l\u2019on d\u00e9cide de <strong>pr\u00e9senter des informations dans un graphique en camembert<\/strong>, il faut donc garder \u00e0 l\u2019esprit les points pr\u00e9c\u00e9dents. Mais il est \u00e9galement tr\u00e8s important de suivre quelques recommandations : les diff\u00e9rentes parts doivent \u00eatre correctement labellis\u00e9es pour <strong>permettre une lecture optimale<\/strong>, et ces labels doivent \u00eatre rattach\u00e9s directement \u00e0 la part qui les concerne ; les effets visuels sont \u00e0 proscrire, car ils nuisent \u00e0 la compr\u00e9hension des graphiques (effets en 3D, explos\u00e9, etc).<\/p><p>Le tableau ci-dessous contient des exemples de choses \u00e0 faire et ne pas faire avec des diagrammes en camembert :<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5707fb7 elementor-widget elementor-widget-image\" data-id=\"5707fb7\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1184\" height=\"2560\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/12\/tableau-pie-chart-scaled.jpg\" class=\"attachment-full size-full wp-image-184852\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/12\/tableau-pie-chart-scaled.jpg 1184w, https:\/\/datascientest.com\/wp-content\/uploads\/2022\/12\/tableau-pie-chart-139x300.jpg 139w, https:\/\/datascientest.com\/wp-content\/uploads\/2022\/12\/tableau-pie-chart-474x1024.jpg 474w, https:\/\/datascientest.com\/wp-content\/uploads\/2022\/12\/tableau-pie-chart-768x1660.jpg 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2022\/12\/tableau-pie-chart-710x1536.jpg 710w, https:\/\/datascientest.com\/wp-content\/uploads\/2022\/12\/tableau-pie-chart-947x2048.jpg 947w\" sizes=\"(max-width: 1184px) 100vw, 1184px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bc69ece elementor-widget elementor-widget-text-editor\" data-id=\"bc69ece\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Lors de leurs \u00e9laborations, en r\u00e9alisant de premiers essais visuels, il peut \u00eatre pertinent de se poser les questions suivantes :<\/p><ul><li>Les parts sont-elles \u00e0 peu pr\u00e8s \u00e9gales ?<\/li><li>Ai-je plus de 7 variables \u00e0 repr\u00e9senter ?<\/li><li>Est-ce que mes donn\u00e9es sont compr\u00e9hensibles ? (se positionner \u00e0 la place d\u2019un lecteur lambda)<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3a6c378 e-flex e-con-boxed e-con\" data-id=\"3a6c378\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1e603ca elementor-widget elementor-widget-heading\" data-id=\"1e603ca\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Conclusion<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6256853 elementor-widget elementor-widget-text-editor\" data-id=\"6256853\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Vous l\u2019aurez certainement compris, <strong>les diagrammes dits \u00ab\u00a0camembert\u00a0\u00bb peuvent s\u2019av\u00e9rer utile dans certaines circonstances<\/strong>, et selon le public vis\u00e9, du moment qu\u2019ils restent simples et facilement compr\u00e9hensibles.<\/p><p>En revanche, on les proscrit dans de nombreuses applications, et essentiellement dans le domaine de la <strong>data<\/strong>, o\u00f9 la visualisation d\u2019information doit \u00eatre beaucoup plus pr\u00e9cise, et o\u00f9 d\u2019autres indicateurs procurent de meilleurs r\u00e9sultats.<\/p><p>Il est \u00e9galement tr\u00e8s facile de se laisser s\u00e9duire par l\u2019apparente facilit\u00e9 d\u2019\u00e9laboration d\u2019un tel graphique en voulant pousser la <strong>personnalisation<\/strong> et son <strong>esth\u00e9tisme<\/strong>. Cela devient contre productif, car de mani\u00e8re naturelle, l&rsquo;\u0153il humain perdrait les informations essentielles.<\/p><p>La formation en data science permet d\u2019en <strong>apprendre plus sur l\u2019importance de la dataviz<\/strong> (<a href=\"https:\/\/datascientest.com\/formation-datavisualisation\">Data Visualisation<\/a>), et ainsi de ma\u00eetriser des outils pour aller plus loin.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bd9ceaf elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"bd9ceaf\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formations-data\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">D\u00e9couvrir les parcours en Data Science<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-fbee6b3 e-flex e-con-boxed e-con\" data-id=\"fbee6b3\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c301346 elementor-widget elementor-widget-html\" data-id=\"c301346\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Comment utiliser les pie charts au mieux ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Lorsque l\u2019on d\u00e9cide de pr\u00e9senter des informations dans un graphique en camembert, il faut donc garder \u00e0 l\u2019esprit les points pr\u00e9c\u00e9dents. Mais il est \u00e9galement tr\u00e8s important de suivre quelques recommandations : les diff\u00e9rentes parts doivent \u00eatre correctement labellis\u00e9es pour permettre une lecture optimale, et ces labels doivent \u00eatre rattach\u00e9s directement \u00e0 la part qui les concerne ; les effets visuels sont \u00e0 proscrire, car ils nuisent \u00e0 la compr\u00e9hension des graphiques (effets en 3D, explos\u00e9, etc).\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Dans quels cas peut-on utiliser les pie charts ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Lorsque les donn\u00e9es \u00e0 repr\u00e9senter ne d\u00e9passent pas 7 variables. En effet, au-del\u00e0 ; il devient difficile d\u2019analyser diff\u00e9rents angles et ainsi comprendre les proportions. 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Ils sont utilis\u00e9s pour repr\u00e9senter un petit nombre de variables r\u00e9parties en \u201cpart\u201d ou secteurs dont la taille est fonction de la valeur. Tr\u00e8s pr\u00e9sents dans le monde du journalisme ou [&hellip;]<\/p>\n","protected":false},"author":77,"featured_media":184849,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2497],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Pie Charts ou &quot;Camemberts&quot; : Comment utiliser ces diagrammes ?<\/title>\n<meta name=\"description\" content=\"Les diagrammes en pie chart sont tr\u00e8s peu utilis\u00e9s dans le domaine de la data. 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