{"id":6992,"date":"2021-12-10T08:18:48","date_gmt":"2021-12-10T08:18:48","guid":{"rendered":"https:\/\/www.fditf.com\/bi\/?p=6992"},"modified":"2023-03-27T17:34:48","modified_gmt":"2023-03-27T17:34:48","slug":"analisis-de-datos-con-pandas-profiling-en-python","status":"publish","type":"post","link":"https:\/\/www.fditf.com\/bi\/python\/analisis-de-datos-con-pandas-profiling-en-python\/","title":{"rendered":"An\u00e1lisis de datos con pandas profiling en python"},"content":{"rendered":"<h2>Pandas profiling en python<\/h2>\n<p>La librer\u00eda <a href=\"https:\/\/github.com\/pandas-profiling\/pandas-profiling\" target=\"_blank\" rel=\"noopener\">pandas profiling<\/a> en python ha estado por ah\u00ed desde <a href=\"https:\/\/github.com\/pandas-profiling\/pandas-profiling\/releases\/tag\/1.0.0a1\" target=\"_blank\" rel=\"noopener\">2016<\/a>, aunque me parece que es injustamente impopular, pues ofrece la posibilidad de obtener una vista muy r\u00e1pida y resumida de un conjunto de datos, mismo que puedes aprovechar de manera muy ventajosa cuando se trata de an\u00e1lisis de datos. Y aun con estas ventajas, su uso no es tan extensivo.<\/p>\n<h2>\u00bfQu\u00e9 tipo de resultados ofrece pandas profiling?<\/h2>\n<p>Usando este script como ejemplo:<\/p>\n<p><script src=\"https:\/\/gist.github.com\/vmburbinamx\/ae6b50e7c4af3588da6728864969224e.js\"><\/script><br \/>\nEl archivo en CSV est\u00e1 disponible en este link:<\/p>\n<p><a href=\"https:\/\/docs.google.com\/spreadsheets\/d\/1jTcWC3YdDB6ICEV0Fm8KZT4uJ72RGSYnauQ2iWTmRtA\/edit#gid=1014670818\" target=\"_blank\" rel=\"noopener\">https:\/\/docs.google.com\/spreadsheets\/d\/1jTcWC3YdDB6ICEV0Fm8KZT4uJ72RGSYnauQ2iWTmRtA\/edit#gid=1014670818<\/a><\/p>\n<p><iframe src=\"https:\/\/docs.google.com\/spreadsheets\/d\/e\/2PACX-1vTANTvyDrvtOEmBDSJ9H6PTRtqlTkwFJ1B_CZgacTuJC5R35H2FC4_WbUFAYtGjac3g6irgBS25joON\/pubhtml?gid=1014670818&amp;single=true&amp;widget=true&amp;headers=false\"><span style=\"display: inline-block; width: 0px; overflow: hidden; line-height: 0;\" data-mce-type=\"bookmark\" class=\"mce_SELRES_start\">\ufeff<\/span><\/iframe><\/p>\n<p>El perfil que se genera con esta librer\u00eda contiene 6 seccciones: overview, variables, interactions, correlations, missing values, sample. A continuaci\u00f3n puedes ver ejemplos muy cortos de cada secci\u00f3n.<\/p>\n<h3>Pandas profiling overview<\/h3>\n<p>Esta secci\u00f3n incluye detalles t\u00e9cnicos del an\u00e1lisis (reproduction):<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-6999\" src=\"https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/overview2.png\" alt=\"Pandas profiling overview (reproduction)\" width=\"632\" height=\"307\" srcset=\"https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/overview2.png 632w, https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/overview2-300x146.png 300w, https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/overview2-360x175.png 360w\" sizes=\"auto, (max-width: 632px) 100vw, 632px\" \/><\/p>\n<p>Incluye tambi\u00e9n advertencias generales acerca de los tipos de datos y highlights por cada campo:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-7000\" src=\"https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/overview1.png\" alt=\"Pandas profiling overview (warnings)\" width=\"652\" height=\"278\" srcset=\"https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/overview1.png 990w, https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/overview1-300x128.png 300w, https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/overview1-768x327.png 768w, https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/overview1-360x153.png 360w\" sizes=\"auto, (max-width: 652px) 100vw, 652px\" \/><\/p>\n<p>Y tambi\u00e9n incluye estad\u00edsticas generales del conjunto de datos:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-7001\" src=\"https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/overview.png\" alt=\"Pandas profiling overview (statistics)\" width=\"645\" height=\"283\" srcset=\"https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/overview.png 957w, https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/overview-300x132.png 300w, https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/overview-768x337.png 768w, https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/overview-360x158.png 360w\" sizes=\"auto, (max-width: 645px) 100vw, 645px\" \/><\/p>\n<h3>Pandas profiling variables<\/h3>\n<p>Notar\u00e1s que algunas variables est\u00e1n &#8220;opacas&#8221;, esto significa que no hay mayores insights para esta variable:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-7003\" src=\"https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/variables0.png\" alt=\"Pandas profiling variables\" width=\"543\" height=\"264\" srcset=\"https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/variables0.png 543w, https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/variables0-300x146.png 300w, https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/variables0-360x175.png 360w\" sizes=\"auto, (max-width: 543px) 100vw, 543px\" \/><\/p>\n<p>Y para las variables que s\u00ed haya detalles, ofrece dos vistas: i) la inicial, y la complementaria (al dar click en &#8220;toggle details&#8221;):<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-7005\" src=\"https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/variables1.png\" alt=\"Pandas profiling variables\" width=\"729\" height=\"154\" srcset=\"https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/variables1.png 952w, https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/variables1-300x63.png 300w, https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/variables1-768x162.png 768w, https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/variables1-360x76.png 360w\" sizes=\"auto, (max-width: 729px) 100vw, 729px\" \/><\/p>\n<p>En la vista complementaria puedes encontrar m\u00e1s detalles. Entre otros, una distribuci\u00f3n para cada variable:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-7006\" src=\"https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/variables2.png\" alt=\"Pandas profiling variables\" width=\"758\" height=\"427\" srcset=\"https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/variables2.png 907w, https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/variables2-300x169.png 300w, https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/variables2-768x433.png 768w, https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/variables2-360x203.png 360w\" sizes=\"auto, (max-width: 758px) 100vw, 758px\" \/><\/p>\n<h3>Pandas profiling interactions<\/h3>\n<p>Cuando los datos as\u00ed lo permiten, podr\u00e1 ver un an\u00e1lisis de las interacciones que pueden contener tus datos:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-7008\" src=\"https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/interactions.png\" alt=\"Pandas profiling interactions\" width=\"561\" height=\"316\" srcset=\"https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/interactions.png 748w, https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/interactions-300x169.png 300w, https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/interactions-360x203.png 360w\" sizes=\"auto, (max-width: 561px) 100vw, 561px\" \/><\/p>\n<h3>Pandas profiling correlations<\/h3>\n<p>En esta secci\u00f3n podr\u00e1s ver la representaci\u00f3n gr\u00e1fica de las matrices de correlaci\u00f3n m\u00e1s conocidas. Tambi\u00e9n hay una referencia para cada caso:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-7010\" src=\"https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/correlations.png\" alt=\"Pandas profiling correlations\" width=\"942\" height=\"296\" srcset=\"https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/correlations.png 942w, https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/correlations-300x94.png 300w, https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/correlations-768x241.png 768w, https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/correlations-360x113.png 360w\" sizes=\"auto, (max-width: 942px) 100vw, 942px\" \/><\/p>\n<h3>Pandas profiling missing values<\/h3>\n<p>En esta secci\u00f3n tienes al alcance una representaci\u00f3n visual de la existencia de valores nulos para cada variable.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-7012\" src=\"https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/missing_values.png\" alt=\"Pandas profiling missing values\" width=\"452\" height=\"329\" srcset=\"https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/missing_values.png 452w, https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/missing_values-300x218.png 300w, https:\/\/www.fditf.com\/bi\/wp-content\/uploads\/2021\/12\/missing_values-360x262.png 360w\" sizes=\"auto, (max-width: 452px) 100vw, 452px\" \/><\/p>\n<p>Y por \u00faltimo, en la parte final encuentras una muestra de c\u00f3mo luce la tabla. En general es muy \u00faltil para explorar conjuntos de datos, especialmente cuando te resultan completamente ajenos. Aqu\u00ed puedes descargar el ejemplo que acabo de describir (tienes que descargarlo antes de abrirlo): <a href=\"https:\/\/drive.google.com\/file\/d\/16QepslWHx8RfbPSjFDvg_wrv7jtAY8nn\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\">https:\/\/drive.google.com\/file\/d\/16QepslWHx8RfbPSjFDvg_wrv7jtAY8nn\/view?usp=sharing<\/a>.<\/p>\n<p>Suerte!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Pandas profiling en python La librer\u00eda pandas profiling en python ha estado por ah\u00ed desde 2016, aunque me parece que es injustamente impopular, pues ofrece la posibilidad de obtener una vista muy r\u00e1pida y resumida de un conjunto de datos, <a href=\"https:\/\/www.fditf.com\/bi\/python\/analisis-de-datos-con-pandas-profiling-en-python\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":6995,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[234],"tags":[255,235],"class_list":["post-6992","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","tag-pandas_profiling","tag-python"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - 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