{"id":1018,"date":"2024-01-03T02:01:02","date_gmt":"2024-01-03T02:01:02","guid":{"rendered":"https:\/\/lasstatistique.com\/?p=1018"},"modified":"2024-08-14T02:53:48","modified_gmt":"2024-08-14T02:53:48","slug":"cours-3-stata","status":"publish","type":"post","link":"https:\/\/lasstatistique.com\/?p=1018","title":{"rendered":"Cours 3 : STATA"},"content":{"rendered":"

CHAPITRE IV : ANALYSE GRAPHIQUE DES DONNEES<\/b><\/span><\/p>\n

Dans le cadre d\u2019une analyse de donn\u00e9es, les graphiques jouent un grand r\u00f4le. Depuis la version 10, Stata<\/span> propose un interface graphique permettant de r\u00e9aliser des graphiques scientifiques de bonne qualit\u00e9. Cependant, il y\u2019a de grands avantages \u00e0 se passer \u00e0 ces outils et onglets et \u00e0 utiliser les commandes. Parmi les avantages, l\u2019un des plus importants est la r\u00e9p\u00e9titive de la commande sur d\u2019autre variable et la logique du graphique.<\/p>\n

Dans ce chapitre, on apprendra \u00e0 faire des graphiques de bonne qualit\u00e9 sur Stata<\/span>.<\/p>\n

    \n
  1. La logique<\/i><\/b><\/span><\/li>\n<\/ol>\n

    Dans Stata<\/span>, il y\u2019a une logique de repr\u00e9sentation graphique. On distingue 2 classes de graphiques: Ceux qui repr\u00e9sentent une variable et commencent par \u00ab\u00a0graph\u00a0<\/span>\u00bb et ceux qui mettent en relation 2 variables ou plus et commencent par \u00ab\u00a0twoway<\/span>\u00a0\u00bb.<\/p>\n

    A la suite de ses commandes, on ajoute le types de graphique suivi des options apr\u00e8s une virgule.<\/p>\n

    Syntaxe g\u00e9n\u00e9rale de tous les graphiques :<\/p>\n

      \n
    • graph type_de_graph Y<\/span>, options : Graphe pour la variable Y<\/li>\n
    • twoway type_de_graph Y X<\/span>, options : Graphe de Y en fonction de X<\/li>\n<\/ul>\n
        \n
      • Les options permettent de d\u00e9crire l\u2019organisation du graphique. On peut utiliser ici sont : title(), ytitle(), legend()<\/span>.<\/li>\n
      • On peut \u00e9galement superposer des graphiques construits s\u00e9par\u00e9ment chacun avec ses propres options.<\/li>\n<\/ul>\n

        La syntaxe : twoway (type_graph1 Y1 X, option1) (type_graph2 Y2 X, option2), option g\u00e9n\u00e9rales<\/span><\/p>\n

        Lab\u00e9liser les axes et d\u00e9finir les \u00e9chelles<\/i><\/b><\/span><\/p>\n

        Pour modifier le nombre de marqueurs, sous marqueurs et labels, on a les options suivants :<\/p>\n

          \n
        • xlabel(), ylabel()<\/span> : Positionne un marqueur avec son label.<\/li>\n
        • xtick(), ytick()<\/span> : Positionne uniquement un marqueur<\/li>\n
        • xmlabel(), ymlabel()<\/span> : Positionne un sous marqueur avec son label<\/li>\n
        • Xmtick(), ymtick()<\/span> : Positionne uniquement un sous-marqueur.<\/li>\n<\/ul>\n

          Entre parenth\u00e8se on sp\u00e9cifie le nombre ou la position des labels et des marqueurs.<\/p>\n

          Entre parenth\u00e8se on sp\u00e9cifie le nombre ou la position des labels et des marqueurs :<\/p>\n

          (#8<\/span>) environs 8 valeurs<\/p>\n

          (##10) 10 \u2013 1 = 9<\/span> sous marqueurs entre deux marqueurs principaux<\/p>\n

          (10(2)20)<\/span> Un marqueur toutes les 2 unit\u00e9s de 10 \u00e0\u00a0 20.<\/p>\n

          (minmax)<\/span> lab\u00e9lise uniquement la valeur min et max de la s\u00e9rie.<\/p>\n

          Les options by() et over()<\/i><\/b><\/span><\/p>\n

          Les options by()<\/span> et over()<\/span> permettent de r\u00e9p\u00e9ter un graphique selon le nombre de modalit\u00e9s d\u2019une variable cat\u00e9gorielle donn\u00e9e. La diff\u00e9rence r\u00e9side dans le rendu :<\/p>\n

            \n
          • Avec by()<\/span>, les deux graphique s\u2019affiche s\u00e9par\u00e9ment avec chacun des axes alors qu\u2019avec over()<\/span> les deux repr\u00e9sentations sont sur le m\u00eame graphique. Ce qui facilite la comparaison.<\/li>\n<\/ul>\n

            \"\"<\/p>\n

            \"\"<\/p>\n

              \n
            1. Les types de graphiques<\/i><\/b><\/span><\/li>\n<\/ol>\n

              Les graphiques unidimensionnelle<\/i><\/b><\/span><\/p>\n

              Comme mentionn\u00e9 pr\u00e9c\u00e9demment, pour faire un graphique pour une variable, la syntaxe g\u00e9n\u00e9rale est : graph type_de_graph Y, options<\/span> o\u00f9 Y est la variable.<\/p>\n

              Pour une un graphique unidimensionnelle, les types de graphiques possible d\u00e9pend de la nature de la variable.<\/p>\n

              \"\"<\/p>\n

              Les graphiques bi-dimensionnels<\/i><\/b><\/span><\/p>\n

              Comme mentionn\u00e9 pr\u00e9c\u00e9demment, pour faire un graphique bi-dimensionnels c\u2019est-\u00e0-dire mettant en relation 2 variables, la syntaxe g\u00e9n\u00e9rale est :<\/p>\n

              twoway type_de_graph Y, options<\/span> o\u00f9 Y est la variable.<\/p>\n

              Pour une un graphique unidimensionnelle, les types de graphiques possible d\u00e9pend de la nature de la variable.<\/p>\n

              \"\"<\/p>\n

               <\/p>\n","protected":false},"excerpt":{"rendered":"

              CHAPITRE IV : ANALYSE GRAPHIQUE DES DONNEES Dans le cadre d\u2019une analyse de donn\u00e9es, les graphiques jouent un grand r\u00f4le.<\/p>\n","protected":false},"author":1,"featured_media":1000,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"colormag_page_container_layout":"default_layout","colormag_page_sidebar_layout":"default_layout","footnotes":""},"categories":[40,44],"tags":[],"class_list":["post-1018","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cours","category-stata"],"yoast_head":"\nCours 3 : STATA - LASStatistique<\/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:\/\/lasstatistique.com\/?p=1018\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cours 3 : STATA - 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