{"id":2894,"date":"2023-07-20T05:20:19","date_gmt":"2023-07-20T05:20:19","guid":{"rendered":"https:\/\/statorials.org\/id\/filter-dplyr-tunggal\/"},"modified":"2023-07-20T05:20:19","modified_gmt":"2023-07-20T05:20:19","slug":"filter-dplyr-tunggal","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/filter-dplyr-tunggal\/","title":{"rendered":"Cara memfilter nilai unik menggunakan dplyr"},"content":{"rendered":"

<\/p>\n

\n

Anda dapat menggunakan metode berikut untuk memfilter nilai unik dalam bingkai data di R menggunakan paket dplyr<\/a> :<\/span><\/p>\n

Metode 1: Filter nilai unik dalam kolom<\/strong><\/span><\/p>\n

 df %>% distinct(var1)\n<\/strong><\/pre>\n
 Metode 2: Filter nilai unik di beberapa kolom<\/strong><\/span><\/p>\n
 df %>% distinct(var1, var2)\n<\/strong><\/pre>\n
 Metode 3: Filter nilai unik di semua kolom<\/strong><\/span><\/p>\n
 df %>% distinct()\n<\/strong><\/pre>\n
 Contoh berikut menunjukkan cara menggunakan setiap metode dalam praktik dengan kerangka data berikut di R:<\/span><\/p>\n
 #create data frame\ndf <- data. frame<\/span> (team=c('A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'),\n                 points=c(10, 10, 8, 6, 15, 15, 12, 12),\n<\/span>rebounds=c(8, 8, 4, 3, 10, 11, 7, 7))<\/span>\n\n#view data frame\n<\/span><\/strong>df\n\n  team points rebounds\n1 to 10 8\n2 to 10 8\n3 to 8 4\n4 to 6 3\n5 B 15 10\n6 B 15 11\n7 B 12 7\n8 B 12 7\n<\/strong><\/span><\/pre>\n
 Contoh 1: Filter nilai unik di kolom<\/strong><\/span><\/h3>\n
 Kita dapat menggunakan kode berikut untuk memfilter nilai unik hanya di kolom tim<\/strong> :<\/span><\/p>\n
 library<\/span> (dplyr)\n\n#select only unique values in team column<\/span>\ndf %>% distinct(team)\n\n  team\n1A\n2 B\n<\/strong><\/span><\/pre>\n
 Perhatikan bahwa hanya nilai unik dari kolom tim<\/strong> yang dikembalikan.<\/span><\/p>\n
 Contoh 2: Filter nilai unik di beberapa kolom<\/strong><\/span><\/h3>\n
 Kita dapat menggunakan kode berikut untuk memfilter nilai unik di kolom tim<\/strong> dan poin<\/strong> :<\/span><\/p>\n
 library<\/span> (dplyr)\n\n#select unique values in team and points columns<\/span>\ndf %>% distinct(team, points)\n\n  team points\n1 to 10\n2 to 8\n3 to 6\n4 B 15\n5 B 12\n<\/strong><\/span><\/pre>\n
 Perhatikan bahwa hanya nilai unik dari kolom tim<\/strong> dan poin<\/strong> yang dikembalikan.<\/span><\/p>\n
 Contoh 3: Filter nilai unik di semua kolom<\/strong><\/span><\/h3>\n
 Kita dapat menggunakan kode berikut untuk memfilter nilai unik di seluruh kolom dalam bingkai data:<\/span><\/p>\n
 library<\/span> (dplyr)\n\n#select unique values across all columns<\/span>\ndf %>% distinct()\n\n  team points rebounds\n1 to 10 8\n2 to 8 4\n3 to 6 3\n4 B 15 10\n5 B 15 11\n6 B 12 7\n<\/strong><\/span><\/pre>\n
 Perhatikan bahwa nilai unik dari ketiga kolom dikembalikan.<\/span><\/p>\n
 Catatan<\/strong> : Anda dapat menemukan dokumentasi lengkap fungsi terpisah<\/b> di dplyr di sini<\/a> .<\/span><\/p>\n
 Sumber daya tambahan<\/strong><\/span><\/h3>\n
 Tutorial berikut menjelaskan cara melakukan operasi umum lainnya di dplyr:<\/span><\/p>\n
 Cara memilih kolom berdasarkan indeks menggunakan dplyr<\/a>
 Cara memilih baris pertama berdasarkan grup menggunakan dplyr<\/a>
 Cara memfilter berdasarkan beberapa kondisi menggunakan dplyr
 Cara memfilter baris yang berisi string tertentu menggunakan dplyr<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Anda dapat menggunakan metode berikut untuk memfilter nilai unik dalam bingkai data di R menggunakan paket dplyr : Metode 1: Filter nilai unik dalam kolom df %>% distinct(var1) Metode 2: Filter nilai unik di beberapa kolom df %>% distinct(var1, var2) Metode 3: Filter nilai unik di semua kolom df %>% distinct() Contoh berikut menunjukkan cara […]<\/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 memfilter nilai unik menggunakan dplyr - Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara memfilter bingkai data di R untuk satu baris menggunakan dplyr, 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\/filter-dplyr-tunggal\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara memfilter nilai unik menggunakan dplyr - Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara memfilter bingkai data di R untuk satu baris menggunakan dplyr, dengan beberapa contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/filter-dplyr-tunggal\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-20T05:20:19+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\/filter-dplyr-tunggal\/\",\"url\":\"https:\/\/statorials.org\/id\/filter-dplyr-tunggal\/\",\"name\":\"Cara memfilter nilai unik menggunakan dplyr - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-20T05:20:19+00:00\",\"dateModified\":\"2023-07-20T05:20:19+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara memfilter bingkai data di R untuk satu baris menggunakan dplyr, dengan beberapa contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/filter-dplyr-tunggal\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/filter-dplyr-tunggal\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/filter-dplyr-tunggal\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara memfilter nilai unik 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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