<\/p>\n
NA’lar\u0131 R’deki bir veri \u00e7er\u00e7evesinin s\u00fctunundaki belirli dizelerle de\u011fi\u015ftirmek i\u00e7in Tidyr<\/strong> paketindeki replacement_na()<\/strong> i\u015flevini kullanabilirsiniz:<\/span><\/p>\n Bu i\u015flevi, NA’lar\u0131 bir veri \u00e7er\u00e7evesinin birden \u00e7ok s\u00fctunundaki belirli dizelerle de\u011fi\u015ftirmek i\u00e7in de kullanabilirsiniz:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler bu fonksiyonun pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, NA’lar\u0131n bir veri \u00e7er\u00e7evesi s\u00fctununda belirli bir dizeyle nas\u0131l de\u011fi\u015ftirilece\u011fini g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, bir veri \u00e7er\u00e7evesinin birden \u00e7ok s\u00fctununda NA’lar\u0131n belirli bir dizeyle nas\u0131l de\u011fi\u015ftirilece\u011fini g\u00f6sterir:<\/span><\/p>\n R’deki NA’lar\u0131n bir k\u0131sm\u0131n\u0131 veya tamam\u0131n\u0131 i\u00e7eren sat\u0131rlar nas\u0131l silinir?<\/a> NA’lar\u0131 R’deki bir veri \u00e7er\u00e7evesinin s\u00fctunundaki belirli dizelerle de\u011fi\u015ftirmek i\u00e7in Tidyr paketindeki replacement_na() i\u015flevini kullanabilirsiniz: #replace NA values in column x with “missing” df$x %>% replace_na (‘ none ‘) Bu i\u015flevi, NA’lar\u0131 bir veri \u00e7er\u00e7evesinin birden \u00e7ok s\u00fctunundaki belirli dizelerle de\u011fi\u015ftirmek i\u00e7in de kullanabilirsiniz: #replace NA values in column x with “missing” and NA values […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-1789","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n #replace NA values in column x with \"missing\"\ndf$x %>% replace_na<\/span> (' none<\/span> ')<\/span><\/span>\n<\/strong><\/pre>\n #replace NA values in column x with \"missing\" and NA values in column y with \"none\"<\/span>\ndf %>% replace_na<\/span> (list(x = ' missing<\/span> ', y = ' none<\/span> '))<\/strong><\/pre>\n \u00d6rnek 1: NA’lar\u0131 bir s\u00fctundaki dizelerle de\u011fi\u015ftirin<\/strong><\/span><\/h3>\n
library<\/span> (tidyr)\n\ndf <- data. frame<\/span> (status=c('single', 'married', 'married', NA),\n education=c('Assoc', 'Bach', NA, 'Master'),\n income=c(34, 88, 92, 90))\n\n#view data frame\n<\/span>df\n\n status education income\n1 single Assoc 34\n2 married Bach 88\n3 married <NA> 92\n4 <NA> Master 90\n\n#replace missing values with 'single' in status column\n<\/span>df$status <- df$status %>% replace_na<\/span> (' single<\/span> ')\n\n#view updated data frame\n<\/span>df \n\n status education income\n1 single Assoc 34\n2 married Bach 88\n3 married <NA> 92\n4 single Master 90\n<\/strong><\/span><\/pre>\n \u00d6rnek 2: NA’lar\u0131 birden \u00e7ok s\u00fctundaki dizelerle de\u011fi\u015ftirin<\/strong><\/span><\/h3>\n
library<\/span> (tidyr)\n\ndf <- data. frame<\/span> (status=c('single', 'married', 'married', NA),\n education=c('Assoc', 'Bach', NA, 'Master'),\n income=c(34, 88, 92, 90))\n\n#view data frame\n<\/span>df\n\n status education income\n1 single Assoc 34\n2 married Bach 88\n3 married <NA> 92\n4 <NA> Master 90\n\n#replace missing values with 'single' in status column\n<\/span>df <- df %>% replace_na<\/span> (list(status = ' single<\/span> ', education = ' none<\/span> '))\n\n#view updated data frame\n<\/span>df \n\n status education income\n1 single Assoc 34\n2 married Bach 88\n3 married none 92\n4 single Master 90<\/strong><\/span><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Dplyr’de NA’y\u0131 S\u0131f\u0131r ile nas\u0131l de\u011fi\u015ftirebilirim?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"