{"id":1287,"date":"2023-07-27T00:21:15","date_gmt":"2023-07-27T00:21:15","guid":{"rendered":"https:\/\/statorials.org\/pt\/cramers-v-em-python\/"},"modified":"2023-07-27T00:21:15","modified_gmt":"2023-07-27T00:21:15","slug":"cramers-v-em-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/pt\/cramers-v-em-python\/","title":{"rendered":"Como calcular o v de cramer em python"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>O V de Cramer<\/strong> \u00e9 uma medida da for\u00e7a da associa\u00e7\u00e3o entre duas vari\u00e1veis nominais.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Vai de 0 a 1 onde:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>0<\/strong> indica nenhuma associa\u00e7\u00e3o entre as duas vari\u00e1veis.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>1<\/strong> indica forte associa\u00e7\u00e3o entre as duas vari\u00e1veis.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u00c9 calculado da seguinte forma:<\/span><\/p>\n<p> <strong><span style=\"color: #000000;\">V de Cramer = \u221a <span style=\"border-top: 1px solid black;\">(X <sup>2<\/sup> \/n) \/ min(c-1, r-1)<\/span><\/span><\/strong><\/p>\n<p> <span style=\"color: #000000;\">Ouro:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>X <sup>2<\/sup> :<\/strong> A estat\u00edstica do qui-quadrado<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>n:<\/strong> tamanho total da amostra<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>r:<\/strong> N\u00famero de linhas<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>c:<\/strong> N\u00famero de colunas<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Este tutorial fornece alguns exemplos de c\u00e1lculo do V de Cramer para uma tabela de conting\u00eancia em Python.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Exemplo 1: V de Cramer para uma mesa 2\u00d72<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">O c\u00f3digo a seguir mostra como calcular o V de Cramer para uma tabela 2&#215;2:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load necessary packages and functions\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> scipy. <span style=\"color: #3366ff;\">stats<\/span> <span style=\"color: #008000;\">as<\/span> stats<\/span>\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np<\/span>\n\n#create 2x2 table\n<\/span>data = np. <span style=\"color: #3366ff;\">array<\/span> ([[7,12], [9,8]])\n\n<span style=\"color: #008080;\">#Chi-squared test statistic, sample size, and minimum of rows and columns\n<\/span>X2 = stats. <span style=\"color: #3366ff;\">chi2_contingency<\/span> (data, correction= <span style=\"color: #008000;\">False<\/span> )[0]\nn = np. <span style=\"color: #3366ff;\">sum<\/span> (data)\nminDim = min( <span style=\"color: #3366ff;\">data.shape<\/span> )-1\n\n<span style=\"color: #008080;\">#calculate Cramer's V<\/span>\nV = np. <span style=\"color: #3366ff;\">sqrt<\/span> ((X2\/n) \/ minDim)\n\n<span style=\"color: #008080;\">#display Cramer's V\n<\/span>print(V)\n\n0.1617<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">O V de Cramer \u00e9 <strong>0,1617<\/strong> , o que indica uma associa\u00e7\u00e3o bastante fraca entre as duas vari\u00e1veis na tabela.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Exemplo 2: V de Cramer para tabelas maiores<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Observe que podemos usar a fun\u00e7\u00e3o <strong>CramerV<\/strong> para calcular o V de Cramer para uma matriz de qualquer tamanho.<\/span><\/p>\n<p> <span style=\"color: #000000;\">O c\u00f3digo a seguir mostra como calcular o V de Cramer para uma tabela com 2 linhas e 3 colunas:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load necessary packages and functions\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> scipy. <span style=\"color: #3366ff;\">stats<\/span> <span style=\"color: #008000;\">as<\/span> stats<\/span>\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np<\/span>\n\n#create 2x2 table\n<\/span>data = np. <span style=\"color: #3366ff;\">array<\/span> ([[6,9], [8, 5], [12, 9]])\n\n<span style=\"color: #008080;\">#Chi-squared test statistic, sample size, and minimum of rows and columns\n<\/span>X2 = stats. <span style=\"color: #3366ff;\">chi2_contingency<\/span> (data, correction= <span style=\"color: #008000;\">False<\/span> )[0]\nn = np. <span style=\"color: #3366ff;\">sum<\/span> (data)\nminDim = min( <span style=\"color: #3366ff;\">data.shape<\/span> )-1\n\n<span style=\"color: #008080;\">#calculate Cramer's V<\/span>\nV = np. <span style=\"color: #3366ff;\">sqrt<\/span> ((X2\/n) \/ minDim)\n\n<span style=\"color: #008080;\">#display Cramer's V\n<\/span>print(V)\n\n0.1775<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">O V de Cramer \u00e9 <strong>0,1775<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Observe que este exemplo usou uma tabela com 2 linhas e 3 colunas, mas exatamente o mesmo c\u00f3digo funciona para uma tabela de qualquer dimens\u00e3o.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Recursos adicionais<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/pt\/teste-de-independencia-do-qui-quadrado-python\/\" target=\"_blank\" rel=\"noopener\">Teste de independ\u00eancia do qui quadrado em Python<\/a><br \/> <a href=\"https:\/\/statorials.org\/pt\/qui-quadrado-bondade-do-teste-de-ajuste-python\/\" target=\"_blank\" rel=\"noopener\">Teste de ajuste qui-quadrado em Python<\/a><br \/> <a href=\"https:\/\/statorials.org\/pt\/teste-exato-de-python-dos-pescadores\/\" target=\"_blank\" rel=\"noopener\">Teste exato de Fisher em Python<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>O V de Cramer \u00e9 uma medida da for\u00e7a da associa\u00e7\u00e3o entre duas vari\u00e1veis nominais. Vai de 0 a 1 onde: 0 indica nenhuma associa\u00e7\u00e3o entre as duas vari\u00e1veis. 1 indica forte associa\u00e7\u00e3o entre as duas vari\u00e1veis. \u00c9 calculado da seguinte forma: V de Cramer = \u221a (X 2 \/n) \/ min(c-1, r-1) Ouro: X [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-1287","post","type-post","status-publish","format-standard","hentry","category-guia"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Como calcular o V de Cramer em Python - Estatologia<\/title>\n<meta name=\"description\" content=\"Este tutorial explica como calcular o V de Cramer em Python, com um exemplo.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/pt\/cramers-v-em-python\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Como calcular o V de Cramer em Python - Estatologia\" \/>\n<meta property=\"og:description\" content=\"Este tutorial explica como calcular o V de Cramer em Python, com um exemplo.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pt\/cramers-v-em-python\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-27T00:21:15+00:00\" \/>\n<meta name=\"author\" content=\"Dr. benjamim anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"Dr. benjamim anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tempo estimado de leitura\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/pt\/cramers-v-em-python\/\",\"url\":\"https:\/\/statorials.org\/pt\/cramers-v-em-python\/\",\"name\":\"Como calcular o V de Cramer em Python - Estatologia\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pt\/#website\"},\"datePublished\":\"2023-07-27T00:21:15+00:00\",\"dateModified\":\"2023-07-27T00:21:15+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pt\/#\/schema\/person\/e08f98e8db95e0aa9c310e1b27c9c666\"},\"description\":\"Este tutorial explica como calcular o V de Cramer em Python, com um exemplo.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pt\/cramers-v-em-python\/#breadcrumb\"},\"inLanguage\":\"pt-PT\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pt\/cramers-v-em-python\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pt\/cramers-v-em-python\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Lar\",\"item\":\"https:\/\/statorials.org\/pt\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Como calcular o v de cramer em python\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/pt\/#website\",\"url\":\"https:\/\/statorials.org\/pt\/\",\"name\":\"Statorials\",\"description\":\"O seu guia para a literacia estat\u00edstica!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/pt\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"pt-PT\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/pt\/#\/schema\/person\/e08f98e8db95e0aa9c310e1b27c9c666\",\"name\":\"Dr. benjamim anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-PT\",\"@id\":\"https:\/\/statorials.org\/pt\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/pt\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/pt\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Dr. benjamim anderson\"},\"description\":\"Ol\u00e1, sou Benjamin, um professor aposentado de estat\u00edstica que se tornou professor dedicado na Statorials. 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