{"id":2385,"date":"2023-07-22T12:19:06","date_gmt":"2023-07-22T12:19:06","guid":{"rendered":"https:\/\/statorials.org\/id\/dplyr-hapus-na\/"},"modified":"2023-07-22T12:19:06","modified_gmt":"2023-07-22T12:19:06","slug":"dplyr-hapus-na","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/dplyr-hapus-na\/","title":{"rendered":"Cara menghapus baris dengan nilai na menggunakan dplyr"},"content":{"rendered":"

<\/p>\n

\n

Anda dapat menggunakan metode berikut dari paket dplyr<\/a> untuk menghapus baris dengan nilai NA:<\/span><\/p>\n

Metode 1: Hapus baris dengan nilai NA di kolom mana pun<\/span><\/strong><\/p>\n

 library<\/span> (dplyr)\n\n#remove rows with NA value in any column<\/span>\ndf %>%\n  n \/ A. omit<\/span> ()\n<\/strong><\/pre>\n
 Metode 2: Hapus baris dengan nilai NA di kolom tertentu<\/span><\/strong><\/p>\n
 library<\/span> (dplyr)\n\n#remove rows with NA value in 'col1' or 'col2'<\/span>\ndf %>%\n  filter_at(vars(col1, col2), all_vars( !<\/span> is. na<\/span> (.)))\n<\/strong><\/pre>\n
 Metode 3: Hapus baris dengan nilai NA di kolom tertentu<\/span><\/strong><\/p>\n
 library<\/span> (dplyr)\n\n#remove rows with NA value in 'col1'<\/span>\ndf %>%\n  filter( !<\/span> is. na<\/span> (col1))<\/strong><\/pre>\n
 Contoh berikut menunjukkan cara menggunakan metode ini dalam praktik dengan kerangka data berikut:<\/span><\/p>\n
 #create data frame with some missing values\ndf <- data. frame<\/span> (team=c('A', 'A', 'B', 'B', 'C'),\n                 points=c(99, 90, 86, 88, NA),\n                 assists=c(33, NA, 31, 39, 34),\n                 rebounds=c(NA, 28, 24, 24, 28))\n\n#view data frame\n<\/span>df\n\n  team points assists rebounds\n1 A 99 33 NA\n2 A 90 NA 28\n3 B 86 31 24\n4 B 88 39 24\n5 C NA 34 28<\/span><\/span><\/strong><\/pre>\n
 Metode 1: Hapus baris dengan nilai NA di kolom mana pun<\/span><\/strong><\/h3>\n
 Kode berikut menunjukkan cara menghapus baris dengan nilai NA di kolom mana pun pada bingkai data:<\/span><\/p>\n
 library<\/span> (dplyr)\n\n#remove rows with NA value in any column<\/span>\ndf %>%\n  n \/ A. omit<\/span> ()\n\n  team points assists rebounds\n3 B 86 31 24\n4 B 88 39 24\n<\/strong><\/pre>\n
 Dua baris yang tersisa hanyalah baris yang tidak memiliki nilai NA di kolom mana pun.<\/span><\/p>\n
 Metode 2: Hapus baris dengan nilai NA di kolom tertentu<\/span><\/strong><\/h3>\n
 Kode berikut menunjukkan cara menghapus baris dengan nilai NA di kolom mana pun pada bingkai data:<\/span><\/p>\n
 library<\/span> (dplyr)\n\n#remove rows with NA value in 'points' or 'assists' columns<\/span>\ndf %>%\n  filter_at(vars(points, assists), all_vars( !<\/span> is. na<\/span> (.)))\n\n  team points assists rebounds\n1 A 99 33 NA\n2 B 86 31 24\n3 B 88 39 24\n<\/strong><\/pre>\n
 Satu-satunya baris yang tersisa adalah baris tanpa nilai NA di kolom \u201cpoin\u201d atau \u201cbantuan\u201d.<\/span><\/p>\n
 Metode 3: Hapus baris dengan nilai NA di kolom tertentu<\/span><\/strong><\/h3>\n
 Kode berikut menunjukkan cara menghapus baris dengan nilai NA di kolom tertentu pada bingkai data:<\/span><\/p>\n
 library<\/span> (dplyr)\n\n#remove rows with NA value in 'points' column<\/span>\ndf %>%\n  filter( !<\/span> is. na<\/span> (dots))\n\n  team points assists rebounds\n1 A 99 33 NA\n2 A 90 NA 28\n3 B 86 31 24\n4 B 88 39 24\n<\/strong><\/pre>\n
 Satu-satunya baris yang tersisa adalah baris tanpa nilai NA di kolom \u201cpoin\u201d.<\/span><\/p>\n
 Sumber daya tambahan<\/strong><\/span><\/h3>\n
 Tutorial berikut menjelaskan cara melakukan operasi umum lainnya menggunakan dplyr:<\/span><\/p>\n
 dplyr: Cara memfilter baris yang berisi string tertentu<\/a>
 dplyr: Cara mengganti nilai NA dengan nol<\/a>
 dplyr: Cara menggunakan filter \u201ctidak termasuk\u201d.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Anda dapat menggunakan metode berikut dari paket dplyr untuk menghapus baris dengan nilai NA: Metode 1: Hapus baris dengan nilai NA di kolom mana pun library (dplyr) #remove rows with NA value in any column df %>% n \/ A. omit () Metode 2: Hapus baris dengan nilai NA di kolom tertentu library (dplyr) #remove […]<\/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":[],"yoast_head":"\nCara menghapus baris dengan nilai NA menggunakan dplyr - Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara menghapus baris dengan nilai NA menggunakan paket dplyr di R, dengan beberapa contoh.\" \/>\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\/id\/dplyr-hapus-na\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara menghapus baris dengan nilai NA menggunakan dplyr - Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara menghapus baris dengan nilai NA menggunakan paket dplyr di R, dengan beberapa contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/dplyr-hapus-na\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-22T12:19:06+00:00\" \/>\n<meta name=\"author\" content=\"Benjamin anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Ditulis oleh\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimasi waktu membaca\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/dplyr-hapus-na\/\",\"url\":\"https:\/\/statorials.org\/id\/dplyr-hapus-na\/\",\"name\":\"Cara menghapus baris dengan nilai NA menggunakan dplyr - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-22T12:19:06+00:00\",\"dateModified\":\"2023-07-22T12:19:06+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara menghapus baris dengan nilai NA menggunakan paket dplyr di R, dengan beberapa contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/dplyr-hapus-na\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/dplyr-hapus-na\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/dplyr-hapus-na\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menghapus baris dengan nilai na menggunakan dplyr\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/id\/#website\",\"url\":\"https:\/\/statorials.org\/id\/\",\"name\":\"Statorials\",\"description\":\"Panduan anda untuk kompetensi statistik!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/id\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"id\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\",\"name\":\"Benjamin anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"id\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/image\/\",\"url\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Benjamin anderson\"},\"description\":\"Halo, saya Benjamin, pensiunan profesor statistika yang menjadi guru Statorial yang berdedikasi. 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