{"id":15780,"date":"2022-04-23T19:21:18","date_gmt":"2022-04-23T18:21:18","guid":{"rendered":"https:\/\/complex-systems-ai.com\/?page_id=15780"},"modified":"2022-04-23T20:20:01","modified_gmt":"2022-04-23T19:20:01","slug":"analyse-semi-automatique-des-donnees","status":"publish","type":"page","link":"https:\/\/complex-systems-ai.com\/es\/analisis-descriptivo\/analisis-semiautomatico-de-datos\/","title":{"rendered":"An\u00e1lisis de datos semiautom\u00e1tico"},"content":{"rendered":"<div data-elementor-type=\"wp-page\" data-elementor-id=\"15780\" class=\"elementor elementor-15780\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-c4e1240 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c4e1240\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-7a7a636\" data-id=\"7a7a636\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-084af97 elementor-align-justify elementor-widget elementor-widget-button\" data-id=\"084af97\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/complex-systems-ai.com\/es\/analisis-descriptivo\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">An\u00e1lisis descriptivo<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-0841556\" data-id=\"0841556\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ff76242 elementor-align-justify elementor-widget elementor-widget-button\" data-id=\"ff76242\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/complex-systems-ai.com\/es\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Pagina de inicio<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-65db182\" data-id=\"65db182\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1e8a0ad elementor-align-justify elementor-widget elementor-widget-button\" data-id=\"1e8a0ad\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/en.wikipedia.org\/wiki\/Descriptive_statistics\" target=\"_blank\" rel=\"noopener\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Wiki<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4db8991 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4db8991\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-9e32d71\" data-id=\"9e32d71\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6a548b7 elementor-widget elementor-widget-text-editor\" data-id=\"6a548b7\" data-element_type=\"widget\" data-e-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\t\t<p>El an\u00e1lisis exploratorio de datos, tambi\u00e9n conocido como EDA, se ha convertido en un tema cada vez m\u00e1s candente en la ciencia de datos. Como su nombre indica, es un proceso de prueba y error en un espacio incierto, con el objetivo de encontrar informaci\u00f3n. Esto suele ocurrir al principio del ciclo de vida de la ciencia de datos. En esta p\u00e1gina, presento un proceso EDA (an\u00e1lisis de datos semiautom\u00e1tico) semiautom\u00e1tico.<\/p><p><img decoding=\"async\" class=\"aligncenter wp-image-11096 size-full\" src=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2020\/09\/cropped-Capture.png\" alt=\"an\u00e1lisis de datos semiautom\u00e1tico\" width=\"97\" height=\"97\" title=\"\"><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6c0bbf9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6c0bbf9\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-79728b1\" data-id=\"79728b1\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-da18ab9 elementor-widget elementor-widget-heading\" data-id=\"da18ab9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Contenido<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Tabla de contenido alternativo\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Palanca<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/complex-systems-ai.com\/es\/analisis-descriptivo\/analisis-semiautomatico-de-datos\/#Lanalyse-semi-automatique-des-donnees-connaitre-ses-donnees\" >An\u00e1lisis semiautom\u00e1tico de datos: conociendo sus datos<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/complex-systems-ai.com\/es\/analisis-descriptivo\/analisis-semiautomatico-de-datos\/#Valeur-manquante-et-preprocessing\" >Valor faltante y preprocesamiento<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/complex-systems-ai.com\/es\/analisis-descriptivo\/analisis-semiautomatico-de-datos\/#Analyse-univariee\" >An\u00e1lisis univariado<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/complex-systems-ai.com\/es\/analisis-descriptivo\/analisis-semiautomatico-de-datos\/#Analyse-multivariee-quantitative-vs-quantitative\" >An\u00e1lisis multivariado: cuantitativo vs. cuantitativo<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/complex-systems-ai.com\/es\/analisis-descriptivo\/analisis-semiautomatico-de-datos\/#Categorie-vs-Categorie\" >Categor\u00eda vs Categor\u00eda<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/complex-systems-ai.com\/es\/analisis-descriptivo\/analisis-semiautomatico-de-datos\/#Categorie-vs-Quantitatif\" >Categor\u00eda vs Cuantitativo<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"elementor-heading-title elementor-size-default\"><span class=\"ez-toc-section\" id=\"Lanalyse-semi-automatique-des-donnees-connaitre-ses-donnees\"><\/span>An\u00e1lisis semiautom\u00e1tico de datos: conociendo sus datos<span class=\"ez-toc-section-end\"><\/span><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-56b9451 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"56b9451\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-87c6c3a\" data-id=\"87c6c3a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7538514 elementor-widget elementor-widget-text-editor\" data-id=\"7538514\" data-element_type=\"widget\" data-e-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\t\t<p id=\"8b0c\" class=\"pw-post-body-paragraph li lj jd lk b ll wm ke ln lo wn kh lq lr wo lt lu lv wp lx ly lz wq mb mc md iw gc\" data-selectable-paragraph=\"\">Usar\u00e9 cuatro bibliotecas principales: Numpy, para trabajar con arreglos; Pandas: para manipular datos en un formato de hoja de c\u00e1lculo que conocemos; Seaborn y matplotlib: para crear una visualizaci\u00f3n de datos.<\/p><pre class=\"kt ku kv kw gz wy bt wz\"><span id=\"2842\" class=\"gc wr wa jd xa b do xb xc l xd\" data-selectable-paragraph=\"\"><mark class=\"xe xf ms\">importar pandas como pd <br \/>importar seaborn como sns <br \/>importar matplotlib.pyplot como plt <br \/>importar numpy como np desde pandas.api.types <br \/>importar is_string_dtype, is_numeric_dtype<\/mark><\/span><\/pre><p id=\"6591\" class=\"pw-post-body-paragraph li lj jd lk b ll wm ke ln lo wn kh lq lr wo lt lu lv wp lx ly lz wq mb mc md iw gc\" data-selectable-paragraph=\"\">Cree un marco de datos a partir del conjunto de datos importado copiando la ruta del conjunto de datos y use df.head(5) para ver las primeras 5 filas de datos.<\/p><p data-selectable-paragraph=\"\"><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter wp-image-15786 size-full\" src=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_0ISNSmP6HX-Yqi-yTB0SeQ.png\" alt=\"\" width=\"700\" height=\"303\" title=\"\" srcset=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_0ISNSmP6HX-Yqi-yTB0SeQ.png 700w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_0ISNSmP6HX-Yqi-yTB0SeQ-300x130.png 300w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_0ISNSmP6HX-Yqi-yTB0SeQ-18x8.png 18w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_0ISNSmP6HX-Yqi-yTB0SeQ-600x260.png 600w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><\/p><p data-selectable-paragraph=\"\">Antes de acercarnos a cada campo, veamos primero las caracter\u00edsticas generales del conjunto de datos. info() da la cantidad de valores no nulos para cada columna y su tipo de datos.<\/p><p data-selectable-paragraph=\"\"><img decoding=\"async\" class=\"aligncenter wp-image-15787 size-full\" src=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_YArwzEh-AzuSE5nvt4641A.png\" alt=\"\" width=\"700\" height=\"252\" title=\"\" srcset=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_YArwzEh-AzuSE5nvt4641A.png 700w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_YArwzEh-AzuSE5nvt4641A-300x108.png 300w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_YArwzEh-AzuSE5nvt4641A-18x6.png 18w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_YArwzEh-AzuSE5nvt4641A-600x216.png 600w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><\/p><p data-selectable-paragraph=\"\">describe() proporciona estad\u00edsticas b\u00e1sicas sobre cada columna. Al pasar el par\u00e1metro &#039;include=&#039;all&#039;, genera el recuento de valores, el recuento \u00fanico, el valor de frecuencia superior de las variables categ\u00f3ricas y el recuento, la media, la desviaci\u00f3n est\u00e1ndar, el m\u00ednimo, el m\u00e1ximo y el percentil de las variables num\u00e9ricas.<\/p><p data-selectable-paragraph=\"\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-15788 size-full\" src=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_9d94tfqa73cce4zxdZq1tQ.png\" alt=\"\" width=\"700\" height=\"240\" title=\"\" srcset=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_9d94tfqa73cce4zxdZq1tQ.png 700w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_9d94tfqa73cce4zxdZq1tQ-300x103.png 300w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_9d94tfqa73cce4zxdZq1tQ-18x6.png 18w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_9d94tfqa73cce4zxdZq1tQ-600x206.png 600w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-9411ca7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9411ca7\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-49657b9\" data-id=\"49657b9\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c892282 elementor-widget elementor-widget-heading\" data-id=\"c892282\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><span class=\"ez-toc-section\" id=\"Valeur-manquante-et-preprocessing\"><\/span>Valor faltante y preprocesamiento<span class=\"ez-toc-section-end\"><\/span><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-026eb84 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"026eb84\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-22758b9\" data-id=\"22758b9\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-11e5606 elementor-widget elementor-widget-text-editor\" data-id=\"11e5606\" data-element_type=\"widget\" data-e-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\t\t<p>Con respecto al tema de los valores faltantes, los invito a elegir la pesta\u00f1a <a href=\"https:\/\/complex-systems-ai.com\/es\/correlacion-y-regresiones\/\">Correlaci\u00f3n<\/a> y regresiones en la r\u00fabrica <a href=\"https:\/\/complex-systems-ai.com\/es\/analisis-de-datos\/\">An\u00e1lisis de los datos<\/a>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-ff6c31f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ff6c31f\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-119a31f\" data-id=\"119a31f\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c848084 elementor-widget elementor-widget-heading\" data-id=\"c848084\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><span class=\"ez-toc-section\" id=\"Analyse-univariee\"><\/span>An\u00e1lisis univariado<span class=\"ez-toc-section-end\"><\/span><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-98c4e36 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"98c4e36\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8332ddf\" data-id=\"8332ddf\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-34dc865 elementor-widget elementor-widget-text-editor\" data-id=\"34dc865\" data-element_type=\"widget\" data-e-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\t\t<p>La funci\u00f3n describe() mencionada en la primera secci\u00f3n ya ha proporcionado un an\u00e1lisis univariado de forma no gr\u00e1fica. En esta secci\u00f3n, generaremos m\u00e1s informaci\u00f3n al visualizar los datos y detectar patrones ocultos a trav\u00e9s del an\u00e1lisis gr\u00e1fico.<\/p><p id=\"9cf4\" class=\"pw-post-body-paragraph li lj jd lk b ll lm ke ln lo lp kh lq lr ls lt lu lv lw lx ly lz ma mb mc md iw gc\" data-selectable-paragraph=\"\"><strong class=\"lk je\">Variables categ\u00f3ricas \u2192 Histogramas<\/strong><\/p><p id=\"77a3\" class=\"pw-post-body-paragraph li lj jd lk b ll lm ke ln lo lp kh lq lr ls lt lu lv lw lx ly lz ma mb mc md iw gc\" data-selectable-paragraph=\"\">La forma m\u00e1s sencilla e intuitiva de visualizar la propiedad de una variable categ\u00f3rica es utilizar un gr\u00e1fico de barras para trazar la frecuencia de cada valor categ\u00f3rico.<\/p><p id=\"8178\" class=\"pw-post-body-paragraph li lj jd lk b ll lm ke ln lo lp kh lq lr ls lt lu lv lw lx ly lz ma mb mc md iw gc\" data-selectable-paragraph=\"\"><strong class=\"lk je\">Variables cuantitativas \u2192 Histogramas<\/strong><\/p><p id=\"ec21\" class=\"pw-post-body-paragraph li lj jd lk b ll lm ke ln lo lp kh lq lr ls lt lu lv lw lx ly lz ma mb mc md iw gc\" data-selectable-paragraph=\"\">Para representar gr\u00e1ficamente la distribuci\u00f3n de variables num\u00e9ricas, podemos utilizar un histograma que es muy similar a un gr\u00e1fico de barras. Divide n\u00fameros continuos en grupos de igual tama\u00f1o y traza la frecuencia de registros entre el intervalo.<\/p><figure class=\"kt ku kv kw gz kx gn go paragraph-image\"><div class=\"ky kz dq la cf lb\" tabindex=\"0\" role=\"button\"><div class=\"gn go yp\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-15789 size-full\" src=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_2ankWTl6eg3-clhdYbXKuA.png\" alt=\"\" width=\"700\" height=\"154\" title=\"\" srcset=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_2ankWTl6eg3-clhdYbXKuA.png 700w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_2ankWTl6eg3-clhdYbXKuA-300x66.png 300w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_2ankWTl6eg3-clhdYbXKuA-18x4.png 18w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_2ankWTl6eg3-clhdYbXKuA-600x132.png 600w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><\/div><\/div><\/figure><p id=\"0e93\" class=\"pw-post-body-paragraph li lj jd lk b ll lm ke ln lo lp kh lq lr ls lt lu lv lw lx ly lz ma mb mc md iw gc\" data-selectable-paragraph=\"\">Uso este bucle for para recorrer las columnas del marco de datos y crear un gr\u00e1fico para cada columna. Luego use un histograma si son variables num\u00e9ricas y un gr\u00e1fico de barras si son variables categ\u00f3ricas.<\/p><p data-selectable-paragraph=\"\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-15790 size-full\" src=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_JR_gURrwF8RQ3NMR_VjSUQ.png\" alt=\"\" width=\"700\" height=\"906\" title=\"\" srcset=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_JR_gURrwF8RQ3NMR_VjSUQ.png 700w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_JR_gURrwF8RQ3NMR_VjSUQ-232x300.png 232w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_JR_gURrwF8RQ3NMR_VjSUQ-9x12.png 9w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_JR_gURrwF8RQ3NMR_VjSUQ-600x777.png 600w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5fc50ff elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5fc50ff\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0fbae32\" data-id=\"0fbae32\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a1561bd elementor-widget elementor-widget-heading\" data-id=\"a1561bd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><span class=\"ez-toc-section\" id=\"Analyse-multivariee-quantitative-vs-quantitative\"><\/span>An\u00e1lisis multivariado: cuantitativo vs. cuantitativo<span class=\"ez-toc-section-end\"><\/span><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e34817c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e34817c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-2d26d8d\" data-id=\"2d26d8d\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c3af581 elementor-widget elementor-widget-text-editor\" data-id=\"c3af581\" data-element_type=\"widget\" data-e-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\t\t<p>Una parte muy importante del an\u00e1lisis de datos semiautom\u00e1tico es el an\u00e1lisis multivariante, c\u00f3mo las columnas se influyen entre s\u00ed.<\/p><p>Primero, usemos la matriz de correlaci\u00f3n para encontrar la correlaci\u00f3n de todas las columnas de tipos de datos num\u00e9ricos. Luego use un mapa de calor para visualizar el resultado. La anotaci\u00f3n dentro de cada celda indica el coeficiente de correlaci\u00f3n de la relaci\u00f3n.<\/p><p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-15791 size-full\" src=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_fHGkXi8qgcrC5x_YulTB1g.png\" alt=\"\" width=\"700\" height=\"606\" title=\"\" srcset=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_fHGkXi8qgcrC5x_YulTB1g.png 700w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_fHGkXi8qgcrC5x_YulTB1g-300x260.png 300w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_fHGkXi8qgcrC5x_YulTB1g-14x12.png 14w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_fHGkXi8qgcrC5x_YulTB1g-600x519.png 600w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><\/p><p>En segundo lugar, dado que la matriz de correlaci\u00f3n solo indica la fuerza de la relaci\u00f3n lineal, es mejor trazar las variables num\u00e9ricas mediante la funci\u00f3n seaborn sns.pairplot(). Tenga en cuenta que las funciones sns.heatmap() y sns.pairplot() ignoran los tipos de datos no num\u00e9ricos.<\/p><p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-15792 size-full\" src=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_n7QI1ILvWVanVfcSQ7q1KA.png\" alt=\"\" width=\"700\" height=\"630\" title=\"\" srcset=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_n7QI1ILvWVanVfcSQ7q1KA.png 700w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_n7QI1ILvWVanVfcSQ7q1KA-300x270.png 300w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_n7QI1ILvWVanVfcSQ7q1KA-13x12.png 13w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_n7QI1ILvWVanVfcSQ7q1KA-600x540.png 600w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><\/p><p>Aqu\u00ed hay un ejemplo con otro conjunto de datos:<\/p><p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-15793 size-full\" src=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_cBYNRfCfFXU5McA7AfhzKg.png\" alt=\"\" width=\"700\" height=\"659\" title=\"\" srcset=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_cBYNRfCfFXU5McA7AfhzKg.png 700w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_cBYNRfCfFXU5McA7AfhzKg-300x282.png 300w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_cBYNRfCfFXU5McA7AfhzKg-13x12.png 13w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_cBYNRfCfFXU5McA7AfhzKg-600x565.png 600w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><\/p><p>El diagrama de pares o diagrama de dispersi\u00f3n es un buen complemento para la matriz de correlaci\u00f3n, especialmente donde pueden existir relaciones no lineales (por ejemplo, relaci\u00f3n exponencial, inversa). Por ejemplo, la relaci\u00f3n inversa entre &quot;Clasificaci\u00f3n&quot; y &quot;Ventas&quot; que se ve en el conjunto de datos del restaurante puede confundirse con una fuerte relaci\u00f3n lineal si solo observamos el n\u00famero &quot;-0.92&quot; en la matriz de correlaci\u00f3n.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-c29cdc5 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c29cdc5\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-072b3e1\" data-id=\"072b3e1\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3b50bbf elementor-widget elementor-widget-heading\" data-id=\"3b50bbf\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><span class=\"ez-toc-section\" id=\"Categorie-vs-Categorie\"><\/span>Categor\u00eda vs Categor\u00eda<span class=\"ez-toc-section-end\"><\/span><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-ef85b99 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ef85b99\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-cfdeee7\" data-id=\"cfdeee7\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3c0e183 elementor-widget elementor-widget-text-editor\" data-id=\"3c0e183\" data-element_type=\"widget\" data-e-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\t\t<p>La relaci\u00f3n entre dos variables categ\u00f3ricas se puede visualizar utilizando histogramas agrupados. La frecuencia de las variables categ\u00f3ricas primarias se desglosa por categor\u00eda secundaria. Esto se puede lograr usando sns.countplot().<\/p><p>Estoy usando un bucle for anidado, donde el bucle externo recorre todas las variables categ\u00f3ricas y las asigna como la categor\u00eda principal, luego el bucle interno recorre la lista nuevamente para asociar la categor\u00eda principal con otra categor\u00eda secundaria.<\/p><p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-15794 size-full\" src=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_oWPHjS6TM939gADpA6CArA.png\" alt=\"\" width=\"700\" height=\"203\" title=\"\" srcset=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_oWPHjS6TM939gADpA6CArA.png 700w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_oWPHjS6TM939gADpA6CArA-300x87.png 300w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_oWPHjS6TM939gADpA6CArA-18x5.png 18w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_oWPHjS6TM939gADpA6CArA-600x174.png 600w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><\/p><p>En un gr\u00e1fico de barras agrupadas, si la distribuci\u00f3n de frecuencia siempre sigue el mismo patr\u00f3n en diferentes agrupaciones, sugiere que no hay dependencia entre la categor\u00eda primaria y la categor\u00eda secundaria. Sin embargo, si la distribuci\u00f3n es diferente, indica que es probable que exista una dependencia entre dos variables.<\/p><p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-15795 size-full\" src=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/2022-04-23-210851.png\" alt=\"\" width=\"706\" height=\"329\" title=\"\" srcset=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/2022-04-23-210851.png 706w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/2022-04-23-210851-300x140.png 300w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/2022-04-23-210851-18x8.png 18w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/2022-04-23-210851-600x280.png 600w\" sizes=\"(max-width: 706px) 100vw, 706px\" \/><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-ba0169f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ba0169f\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-fc8313b\" data-id=\"fc8313b\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8242ff8 elementor-widget elementor-widget-heading\" data-id=\"8242ff8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><span class=\"ez-toc-section\" id=\"Categorie-vs-Quantitatif\"><\/span>Categor\u00eda vs Cuantitativo<span class=\"ez-toc-section-end\"><\/span><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0289c03 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0289c03\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3a6f8b4\" data-id=\"3a6f8b4\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f517119 elementor-widget elementor-widget-text-editor\" data-id=\"f517119\" data-element_type=\"widget\" data-e-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\t\t<p>El diagrama de caja generalmente se adopta cuando necesitamos comparar la variaci\u00f3n de datos num\u00e9ricos entre grupos. Esta es una forma intuitiva de representar gr\u00e1ficamente si la variaci\u00f3n en las caracter\u00edsticas categ\u00f3ricas contribuye a la diferencia en los valores, que se pueden cuantificar a\u00fan m\u00e1s mediante el an\u00e1lisis ANOVA.<\/p><p>En este proceso, asocio cada columna de la lista categ\u00f3rica con todas las columnas de la lista num\u00e9rica y trazo el diagrama de caja en consecuencia.<\/p><p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-15796 size-full\" src=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_3U_X2UXX0GDDCyzcqhwZzA.png\" alt=\"\" width=\"700\" height=\"120\" title=\"\" srcset=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_3U_X2UXX0GDDCyzcqhwZzA.png 700w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_3U_X2UXX0GDDCyzcqhwZzA-300x51.png 300w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_3U_X2UXX0GDDCyzcqhwZzA-18x3.png 18w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_3U_X2UXX0GDDCyzcqhwZzA-600x103.png 600w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><\/p><p>En el conjunto de datos \u201creddit_wsb\u201d no se observan diferencias significativas entre las distintas categor\u00edas.<\/p><p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-15797 size-large\" src=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/2022-04-23-211124-1024x326.png\" alt=\"\" width=\"1024\" height=\"326\" title=\"\" srcset=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/2022-04-23-211124-1024x326.png 1024w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/2022-04-23-211124-300x95.png 300w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/2022-04-23-211124-768x244.png 768w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/2022-04-23-211124-18x6.png 18w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/2022-04-23-211124-600x191.png 600w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/2022-04-23-211124.png 1063w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/p><p>Veamos las diferencias que pueden existir utilizando otro conjunto de datos.<\/p><p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-15798 size-full\" src=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/2022-04-23-211237.png\" alt=\"\" width=\"700\" height=\"670\" title=\"\" srcset=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/2022-04-23-211237.png 700w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/2022-04-23-211237-300x287.png 300w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/2022-04-23-211237-13x12.png 13w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/2022-04-23-211237-600x574.png 600w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><\/p><p>Otro enfoque se basa en el diagrama de pares que hicimos anteriormente para num\u00e9rico versus num\u00e9rico. Para introducir la variable categ\u00f3rica, podemos usar diferentes tonalidades para representar. Al igual que lo que hicimos para countplot. Para hacer esto, simplemente podemos iterar sobre la lista categ\u00f3rica y agregar cada elemento como un matiz del diagrama de pares.<\/p><p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-15799 size-full\" src=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_6S66Kyneit2k1wQ1pDWFoA.png\" alt=\"\" width=\"700\" height=\"79\" title=\"\" srcset=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_6S66Kyneit2k1wQ1pDWFoA.png 700w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_6S66Kyneit2k1wQ1pDWFoA-300x34.png 300w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_6S66Kyneit2k1wQ1pDWFoA-18x2.png 18w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_6S66Kyneit2k1wQ1pDWFoA-600x68.png 600w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><\/p><p>Aqu\u00ed est\u00e1n los resultados en el segundo conjunto de datos:<\/p><p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-15800 size-full\" src=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_kP-jKWZpg1wN6Utb80F9wg.png\" alt=\"\" width=\"700\" height=\"609\" title=\"\" srcset=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_kP-jKWZpg1wN6Utb80F9wg.png 700w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_kP-jKWZpg1wN6Utb80F9wg-300x261.png 300w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_kP-jKWZpg1wN6Utb80F9wg-14x12.png 14w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2022\/04\/1_kP-jKWZpg1wN6Utb80F9wg-600x522.png 600w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-965fe77 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"965fe77\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-16c92f9\" data-id=\"16c92f9\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c109468 elementor-widget elementor-widget-text-editor\" data-id=\"c109468\" data-element_type=\"widget\" data-e-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\t\t<p>Esto marca el final de nuestro an\u00e1lisis de datos semiautom\u00e1tico que puede usar para todos sus conjuntos de datos.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>P\u00e1gina de inicio de Wiki de an\u00e1lisis descriptivo El an\u00e1lisis exploratorio de datos, tambi\u00e9n conocido como EDA, se ha convertido en un tema cada vez m\u00e1s candente en... <\/p>","protected":false},"author":1,"featured_media":0,"parent":15506,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-15780","page","type-page","status-publish","hentry"],"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/complex-systems-ai.com\/es\/wp-json\/wp\/v2\/pages\/15780","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/complex-systems-ai.com\/es\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/complex-systems-ai.com\/es\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/complex-systems-ai.com\/es\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/complex-systems-ai.com\/es\/wp-json\/wp\/v2\/comments?post=15780"}],"version-history":[{"count":3,"href":"https:\/\/complex-systems-ai.com\/es\/wp-json\/wp\/v2\/pages\/15780\/revisions"}],"predecessor-version":[{"id":15803,"href":"https:\/\/complex-systems-ai.com\/es\/wp-json\/wp\/v2\/pages\/15780\/revisions\/15803"}],"up":[{"embeddable":true,"href":"https:\/\/complex-systems-ai.com\/es\/wp-json\/wp\/v2\/pages\/15506"}],"wp:attachment":[{"href":"https:\/\/complex-systems-ai.com\/es\/wp-json\/wp\/v2\/media?parent=15780"}],"curies":[{"name":"gracias","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}