{"id":8528,"date":"2025-05-23T23:52:00","date_gmt":"2025-05-24T04:52:00","guid":{"rendered":"https:\/\/www.icesi.edu.co\/editorial\/?p=8528"},"modified":"2025-10-23T11:31:01","modified_gmt":"2025-10-23T16:31:01","slug":"intro-analisis-canastas","status":"publish","type":"post","link":"https:\/\/www.icesi.edu.co\/editorial\/intro-analisis-canastas\/","title":{"rendered":"Introducci\u00f3n al an\u00e1lisis de canastas de compra para analytics translators y cient\u00edficos de datos (empleando R)"},"content":{"rendered":"<p><a href=\"https:\/\/repository.icesi.edu.co\/bitstreams\/884f1810-9a9c-4a14-8dac-17d83f7fa7df\/download\" target=\"_blank\" rel=\"noopener\">Download\/Descargar<\/a> | <a href=\"https:\/\/www.icesi.edu.co\/editorial\/intro-analisis-canastas-web\/\" target=\"_blank\" rel=\"noopener\">Leer en l\u00ednea<\/a><br \/>\n<strong>T\u00edtulo completo:<\/strong> Introducci\u00f3n al an\u00e1lisis de canastas de compra para <i>analytics translators<\/i> y cient\u00edficos de datos (empleando R).<br \/>\n<strong>Autores:<\/strong> Julio C\u00e9sar Alonso C. y Ana Mar\u00eda Arboleda.<br \/>\n<strong>Colecci\u00f3n:<\/strong> Herramientas del Big Data y Analytics | <strong>N\u00famero:<\/strong> 7.<br \/>\n<strong>Editorial:<\/strong> Universidad Icesi.<br \/>\n<strong>ISBN:<\/strong> 978-628-7814-07-3 (eBook).<br \/>\n<strong>A\u00f1o de edici\u00f3n:<\/strong> 2025.<br \/>\n<span id=\"post-ratings-8528\" class=\"post-ratings\" data-nonce=\"4eb44e89ed\"><img decoding=\"async\" id=\"rating_8528_1\" src=\"https:\/\/www.icesi.edu.co\/editorial\/wp-content\/plugins\/wp-postratings\/images\/stars_crystal\/rating_on.gif\" alt=\"1 estrella\" title=\"1 estrella\" onmouseover=\"current_rating(8528, 1, '1 estrella');\" onmouseout=\"ratings_off(5, 0, 0);\" onclick=\"rate_post();\" onkeypress=\"rate_post();\" style=\"cursor: pointer; border: 0px;\" \/><img decoding=\"async\" id=\"rating_8528_2\" src=\"https:\/\/www.icesi.edu.co\/editorial\/wp-content\/plugins\/wp-postratings\/images\/stars_crystal\/rating_on.gif\" alt=\"2 estrellas\" title=\"2 estrellas\" onmouseover=\"current_rating(8528, 2, '2 estrellas');\" onmouseout=\"ratings_off(5, 0, 0);\" onclick=\"rate_post();\" onkeypress=\"rate_post();\" style=\"cursor: pointer; border: 0px;\" \/><img decoding=\"async\" id=\"rating_8528_3\" src=\"https:\/\/www.icesi.edu.co\/editorial\/wp-content\/plugins\/wp-postratings\/images\/stars_crystal\/rating_on.gif\" alt=\"3 estrellas\" title=\"3 estrellas\" onmouseover=\"current_rating(8528, 3, '3 estrellas');\" onmouseout=\"ratings_off(5, 0, 0);\" onclick=\"rate_post();\" onkeypress=\"rate_post();\" style=\"cursor: pointer; border: 0px;\" \/><img decoding=\"async\" id=\"rating_8528_4\" src=\"https:\/\/www.icesi.edu.co\/editorial\/wp-content\/plugins\/wp-postratings\/images\/stars_crystal\/rating_on.gif\" alt=\"4 estrellas\" title=\"4 estrellas\" onmouseover=\"current_rating(8528, 4, '4 estrellas');\" onmouseout=\"ratings_off(5, 0, 0);\" onclick=\"rate_post();\" onkeypress=\"rate_post();\" style=\"cursor: pointer; border: 0px;\" \/><img decoding=\"async\" id=\"rating_8528_5\" src=\"https:\/\/www.icesi.edu.co\/editorial\/wp-content\/plugins\/wp-postratings\/images\/stars_crystal\/rating_on.gif\" alt=\"5 estrellas\" title=\"5 estrellas\" onmouseover=\"current_rating(8528, 5, '5 estrellas');\" onmouseout=\"ratings_off(5, 0, 0);\" onclick=\"rate_post();\" onkeypress=\"rate_post();\" style=\"cursor: pointer; border: 0px;\" \/> (<strong>13<\/strong> votos, promedio: <strong>5,00<\/strong> sobre 5)<br \/><span class=\"post-ratings-text\" id=\"ratings_8528_text\"><\/span><\/span><span id=\"post-ratings-8528-loading\" class=\"post-ratings-loading\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.icesi.edu.co\/editorial\/wp-content\/plugins\/wp-postratings\/images\/loading.gif\" width=\"16\" height=\"16\" class=\"post-ratings-image\" \/>Loading...<\/span>\n<table style=\"border: none;\">\n<tbody style=\"border: none;\">\n<tr valign=\"top\">\n<td valign=\"top\" style=\"border: none; vertical-align: top; height: 50%; width: 125px;\"><script type=\"text\/javascript\" src=\"\/\/cdn.plu.mx\/widget-popup.js\"><\/script><a href=\"https:\/\/plu.mx\/plum\/a\/?doi=10.18046\/EUI\/bda.h.7\" data-popup=\"right\" data-size=\"large\" class=\"plumx-plum-print-popup\" data-site=\"plum\" data-hide-when-empty=\"true\" data-lang=\"es\" target=\"_blank\" rel=\"noopener\">Introducci\u00f3n al an\u00e1lisis de canastas de compra para analytics translators y cient\u00edficos de datos (empleando R)<\/a>\n<\/td>\n<td style=\"border: none; vertical-align: top; height: 50%; width: 125px;\"><script type=\"text\/javascript\" src=\"https:\/\/d1bxh8uas1mnw7.cloudfront.net\/assets\/embed.js\"><\/script><\/p>\n<div class=\"altmetric-embed\" data-badge-type=\"donut\" data-altmetric-id=\"\"><\/div>\n<\/td>\n<td style=\"border: none; vertical-align: middle;\"><span class=\"__dimensions_badge_embed__\" data-doi=\"10.18046\/EUI\/bda.h.7\" data-hide-zero-citations=\"true\" data-legend=\"hover-right\" data-style=\"small_circle\"><\/span><script async=\"\" src=\"https:\/\/badge.dimensions.ai\/badge.js\" charset=\"utf-8\"><\/script><\/td>\n<\/tr>\n<\/table>\n<div class=\"osc-res-tab tabbable   osc-tabs-left\"><div style=\"clear:both;width: 100%;\"><ul class=\"nav osc-res-nav nav-pills osc-tabs-left-ul\" id=\"oscitas-restabs-1-intro-analisis-canastas-35030\"><li class=\"active\"><a href=\"#ert_pane1-0\" data-toggle=\"tab\">Descripci\u00f3n<\/a><\/li><li class=\"\"><a href=\"#ert_pane1-1\" data-toggle=\"tab\">Contenido<\/a><\/li><li class=\"\"><a href=\"#ert_pane1-2\" data-toggle=\"tab\">Autor(es)<\/a><\/li><li class=\"\"><a href=\"#ert_pane1-3\" data-toggle=\"tab\">Catalogaci\u00f3n<\/a><\/li><\/ul><\/div><div style=\"clear:both;width: 100%;\"><ul class=\"tab-content\" id=\"oscitas-restabcontent-1-intro-analisis-canastas-35030\"><li class=\"tab-pane active\" id=\"ert_pane1-0\"><p style=\"text-align: justify;\">El an\u00e1lisis de canastas o de cesta de compra (en ingl\u00e9s es conocido como <i>Market Basket Analysis<\/i> o simplemente por la sigla MBA) es una herramienta poderosa en el mercadeo. Permite entender mejor el comportamiento y los h\u00e1bitos de compra de los clientes cuando se cuenta con datos transaccionales. En especial, el MBA encuentra reglas de asociaci\u00f3n que permiten identificar qu\u00e9 productos suelen comprarse juntos. Como se discutir\u00e1 en esta obra, las reglas de asociaci\u00f3n son \u00fatiles, por ejemplo, para desarrollar estrategias de ventas cruzadas y promociones personalizadas. Este libro est\u00e1 dirigido a dos roles en el mundo del business analytics: el cient\u00edfico de datos y el <i>analytics translator<\/i>.<\/p>\n<p style=\"text-align: justify;\"><strong>C\u00f3mo citar (APA):<\/strong> Alonso, J.C.; Arboleda, A.M. (2025). <i>Introducci\u00f3n al an\u00e1lisis de canastas de compra para analytics translators y cient\u00edficos de datos (empleando R)<\/i>. Cali: Editorial Universidad Icesi. DOI: <a href=\"https:\/\/doi.org\/10.18046\/EUI\/bda.h.7\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.18046\/EUI\/bda.h.7<\/a><\/p><\/li><li class=\"tab-pane \" id=\"ert_pane1-1\"><strong>Tabla de contenido:<\/strong><\/p>\n<p>Prefacio<\/p>\n<p><strong>1 \/ Introducci\u00f3n<\/strong><\/p>\n<p><strong>2 \/ Un ejemplo sencillo<\/strong><\/p>\n<p><strong>3 \/ An\u00e1lisis de canasta en R<\/strong><\/p>\n<p><strong>4 \/ Visualizaci\u00f3n de resultados y reglas<\/strong><\/p>\n<p><strong>5 \/ Caso de estudio<\/strong><\/p>\n<p>Bibliograf\u00eda<\/p>\n<p>\u00cdndice alfab\u00e9tico<br \/><\/li><li class=\"tab-pane \" id=\"ert_pane1-2\"><ul>\n<li style=\"text-align: justify;\"><a href=\"https:\/\/orcid.org\/0000-0003-4890-7122\" target=\"_blank\" title=\"ORCID iD\" rel=\"noopener noreferrer\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1012\" src=\"http:\/\/www.icesi.edu.co\/editorial\/wp-content\/uploads\/2020\/06\/ORCIDiD_icon16x16.png\" style=\"margin-right: 6px;\" alt=\"Icono ORCID\" width=\"16\" height=\"16\"><\/a><b>Julio C\u00e9sar Alonso Cifuentes<\/b>, Universidad Icesi (Cali, Colombia)<\/li>\n<li style=\"text-align: justify;\"><a href=\"https:\/\/orcid.org\/0000-0002-8689-6041\" target=\"_blank\" title=\"ORCID iD\" rel=\"noopener noreferrer\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1012\" src=\"http:\/\/www.icesi.edu.co\/editorial\/wp-content\/uploads\/2020\/06\/ORCIDiD_icon16x16.png\" style=\"margin-right: 6px;\" alt=\"Icono ORCID\" width=\"16\" height=\"16\"><\/a><b>Ana Mar\u00eda Arboleda<\/b>, Universidad Icesi (Cali, Colombia)<\/li>\n<\/ul><\/li><li class=\"tab-pane \" id=\"ert_pane1-3\"><table>\n<tbody>\n<tr class=\"first odd\">\n<th width=\"160\">\n<p style=\"text-align: left;\">T\u00edtulo (ingl\u00e9s):<\/p>\n<\/th>\n<td class=\"data last\">Introduction to Market Basket Analysis for Analytics Translators and Data Scientists (Using R).<\/td>\n<\/tr>\n<tr class=\"even\">\n<th>\n<p style=\"text-align: left;\">DOI\/URL:<\/p>\n<\/th>\n<td class=\"data last\"><a href=\"https:\/\/doi.org\/10.18046\/EUI\/bda.h.7\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.18046\/EUI\/bda.h.7<\/a><\/td>\n<\/tr>\n<tr class=\"odd\">\n<th>\n<p style=\"text-align: left;\">Editorial(es):<\/p>\n<\/th>\n<td class=\"data last\">Universidad Icesi.<\/td>\n<\/tr>\n<tr class=\"even\">\n<th>\n<p style=\"text-align: left;\">Autores:<\/p>\n<\/th>\n<td class=\"data last\">Julio C\u00e9sar Alonso C., Ana Mar\u00eda Arboleda<\/td>\n<\/tr>\n<tr class=\"odd\">\n<th>\n<p style=\"text-align: left;\">Palabras clave:<\/p>\n<\/th>\n<td class=\"data last\">R, Canasta de compra, Lenguaje estad\u00edstico, Big Data Analytics.<\/td>\n<\/tr>\n<tr class=\"even\">\n<th>\n<p style=\"text-align: left;\">ISBN:<\/p>\n<\/th>\n<td class=\"data last\">978-628-7814-07-3 (eBook).<\/td>\n<\/tr>\n<tr class=\"odd\">\n<th>\n<p style=\"text-align: left;\">Fecha de edici\u00f3n:<\/p>\n<\/th>\n<td class=\"data last\">Mayo de 2025.<\/td>\n<\/tr>\n<tr class=\"even\">\n<th>\n<p style=\"text-align: left;\">No. de p\u00e1ginas:<\/p>\n<\/th>\n<td class=\"data last\">132.<\/td>\n<\/tr>\n<tr class=\"odd\">\n<th>\n<p style=\"text-align: left;\">Idioma(s):<\/p>\n<\/th>\n<td class=\"data last\">Espa\u00f1ol.<\/td>\n<\/tr>\n<tr class=\"even\">\n<th>\n<p style=\"text-align: left;\">Formato(s):<\/p>\n<\/th>\n<td class=\"data last\">Libro electr\u00f3nico (eBook).<\/td>\n<\/tr>\n<tr class=\"odd\">\n<th>\n<p style=\"text-align: left;\">Alto x ancho:<\/p>\n<\/th>\n<td class=\"data last\">27,9 x 21,5 cm.<\/td>\n<\/tr>\n<tr class=\"even\">\n<th>\n<p style=\"text-align: left;\">Colecci\u00f3n:<\/p>\n<\/th>\n<td class=\"data last\">Herramientas del Big Data y Analytics (7).<\/td>\n<\/tr>\n<tr class=\"odd\">\n<th>\n<p style=\"text-align: left;\">Producto:<\/p>\n<\/th>\n<td class=\"data last\">Libro de texto.<\/td>\n<\/tr>\n<tr class=\"last even\">\n<th>\n<p style=\"text-align: left;\">Observaciones:<\/p>\n<\/th>\n<td class=\"data last\">Incluye referencias bibliogr\u00e1ficas.<\/td>\n<\/tr>\n<tr class=\"last odd\">\n<th>\n<p style=\"text-align: left;\">Registro DSpace:<\/p>\n<\/th>\n<td class=\"data last\"><a href=\"https:\/\/hdl.handle.net\/10906\/130345\" target=\"_blank\" rel=\"noopener noreferrer\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1012\" src=\"http:\/\/www.icesi.edu.co\/editorial\/wp-content\/uploads\/2016\/04\/downloadIcon-e1460499009176.png\" alt=\"Icono de Repositorio - Contenido en la Nube\" width=\"25\" height=\"25\"><\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/li><\/ul><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Download\/Descargar | Leer en l\u00ednea T\u00edtulo completo: Introducci\u00f3n al an\u00e1lisis de canastas de compra para analytics translators y cient\u00edficos de datos (empleando R). Autores: Julio C\u00e9sar Alonso C. y Ana Mar\u00eda Arboleda. Colecci\u00f3n: Herramientas del Big Data y Analytics | N\u00famero: 7. Editorial: Universidad Icesi. ISBN: 978-628-7814-07-3 (eBook). A\u00f1o de edici\u00f3n: 2025. Introducci\u00f3n al an\u00e1lisis [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":8533,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[814,728],"tags":[325,442,462,465,732,736,869,929,973,974,996,997,998,999,1000],"class_list":["post-8528","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-herramientas","category-big-data","tag-libro-de-texto","tag-julio-cesar-alonso","tag-lenguaje-de-programacion","tag-descarga-gratuita","tag-analytics","tag-big-data-analytics","tag-rstudio","tag-fne","tag-973","tag-analisis-de-datos","tag-market-basket-analysis","tag-analisis-de-canasta","tag-business-analytics","tag-cientificos-de-datos","tag-analytics-translators"],"_links":{"self":[{"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/posts\/8528","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/comments?post=8528"}],"version-history":[{"count":6,"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/posts\/8528\/revisions"}],"predecessor-version":[{"id":8577,"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/posts\/8528\/revisions\/8577"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/media\/8533"}],"wp:attachment":[{"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/media?parent=8528"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/categories?post=8528"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.icesi.edu.co\/editorial\/wp-json\/wp\/v2\/tags?post=8528"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}