{"id":3285,"date":"2023-07-18T07:13:50","date_gmt":"2023-07-18T07:13:50","guid":{"rendered":"https:\/\/statorials.org\/id\/dplyr-meringkas-beberapa-kolom\/"},"modified":"2023-07-18T07:13:50","modified_gmt":"2023-07-18T07:13:50","slug":"dplyr-meringkas-beberapa-kolom","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/dplyr-meringkas-beberapa-kolom\/","title":{"rendered":"Cara meringkas beberapa kolom menggunakan dplyr"},"content":{"rendered":"

<\/p>\n

\n

Anda dapat menggunakan metode berikut untuk meringkas beberapa kolom dalam bingkai data menggunakan dplyr:<\/span><\/p>\n

Metode 1: Ringkas semua kolom<\/strong><\/span><\/p>\n

 #summarize mean of all columns<\/span>\ndf %>%\n  group_by(group_var) %>%\n  summarise(across(everything(), mean, na. rm<\/span> = TRUE<\/span> ))\n<\/strong><\/pre>\n
 Metode 2: Ringkas Kolom Tertentu<\/strong><\/span><\/p>\n
 #summarize mean of col1 and col2 only<\/span>\ndf %>%\n  group_by(group_var) %>%\n  summarise(across(c(col1, col2), mean, na. rm<\/span> = TRUE<\/span> ))\n<\/strong><\/pre>\n
 Metode 3: Ringkas Semua Kolom Numerik<\/strong><\/span><\/p>\n
 #summarize mean and standard deviation of all numeric columns\n<\/span>df %>%\n  group_by(group_var) %>%\n  summarise(across(where(is. numeric<\/span> ), list(mean=mean, sd=sd), na. rm<\/span> = TRUE<\/span> ))\n<\/strong><\/pre>\n
 Contoh berikut menunjukkan cara menggunakan setiap metode dengan kerangka data berikut:<\/span><\/p>\n
 #create data frame\n<\/span>df <- data. frame<\/span> (team=c('A', 'A', 'A', 'B', 'B', 'B'),\n                 points=c(99, 90, 86, 88, 95, 90),\n                 assists=c(33, 28, 31, 39, 34, 25),\n                 rebounds=c(NA, 28, 24, 24, 28, 19))\n\n#view data frame\n<\/span>df\n\n  team points assists rebounds\n1 A 99 33 NA\n2 A 90 28 28\n3 A 86 31 24\n4 B 88 39 24\n5 B 95 34 28\n6 B 90 25 19\n<\/strong><\/pre>\n
 Contoh 1: Ringkas semua kolom<\/strong><\/span><\/h2>\n
 Kode berikut menunjukkan cara merangkum rata-rata semua kolom:<\/span><\/p>\n
 library<\/span> (dplyr)<\/span>\n\n#summarize mean of all columns, grouped by team<\/span>\ndf %>%\n  group_by(team) %>%\n  summarise(across(everything(), mean, na. rm<\/span> = TRUE<\/span> ))\n\n# A tibble: 2 x 4\n  team points assists rebounds\n           \n1 A 91.7 30.7 26  \n2 B 91 32.7 23.7\n<\/strong><\/pre>\n
 Contoh 2: Ringkas kolom tertentu<\/strong><\/span><\/h2>\n
 Kode berikut menunjukkan cara merangkum rata-rata kolom poin<\/strong> dan rebound<\/strong> saja:<\/span><\/p>\n
 library<\/span> (dplyr)<\/span>\n\n#summarize mean of points and rebounds, grouped by team<\/span>\ndf %>%\n  group_by(team) %>%\n  summarise(across(c(points, rebounds), mean, na. rm<\/span> = TRUE<\/span> ))\n\n# A tibble: 2 x 3\n  team points rebounds\n        \n1 A 91.7 26  \n2 B 91 23.7<\/strong><\/pre>\n
 Contoh 3: Ringkaslah semua kolom numerik<\/strong><\/span><\/h2>\n
 Kode berikut menunjukkan cara merangkum mean dan deviasi standar semua kolom numerik dalam bingkai data:<\/span><\/p>\n
 library<\/span> (dplyr)<\/span>\n\n#summarize mean and standard deviation of all numeric columns<\/span>\ndf %>%\n  group_by(team) %>%\n  summarise(across(where(is. numeric<\/span> ), list(mean=mean, sd=sd), na. rm<\/span> = TRUE<\/span> ))\n\n# A tibble: 2 x 7\n  team points_mean points_sd assists_mean assists_sd rebounds_mean rebounds_sd\n                                            \n1 A 91.7 6.66 30.7 2.52 26 2.83\n2 B 91 3.61 32.7 7.09 23.7 4.51<\/strong><\/pre>\n
 Outputnya menampilkan mean dan deviasi standar semua variabel numerik dalam bingkai data.<\/span><\/p>\n
 Perhatikan bahwa dalam contoh ini kami menggunakan fungsi list()<\/strong> untuk mencantumkan beberapa ringkasan statistik yang ingin kami hitung.<\/span><\/p>\n
 Catatan<\/strong> : Dalam setiap contoh, kami menggunakan fungsi dplyrcross()<\/strong> . Anda dapat menemukan dokumentasi lengkap untuk fungsi ini di sini<\/a> .<\/span><\/p>\n
 Sumber daya tambahan<\/strong><\/span><\/h2>\n
 Tutorial berikut menjelaskan cara melakukan fungsi umum lainnya menggunakan dplyr:<\/span><\/p>\n
 Cara menghapus baris menggunakan dplyr<\/a>
 Cara menyusun baris menggunakan dplyr<\/a>
 Cara memfilter berdasarkan beberapa kondisi menggunakan dplyr<\/p>\n","protected":false},"excerpt":{"rendered":"
Anda dapat menggunakan metode berikut untuk meringkas beberapa kolom dalam bingkai data menggunakan dplyr: Metode 1: Ringkas semua kolom #summarize mean of all columns df %>% group_by(group_var) %>% summarise(across(everything(), mean, na. rm = TRUE )) Metode 2: Ringkas Kolom Tertentu #summarize mean of col1 and col2 only df %>% group_by(group_var) %>% summarise(across(c(col1, col2), mean, na. […]<\/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 meringkas beberapa kolom menggunakan dplyr - Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara meringkas beberapa kolom dalam bingkai data 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\/dplyr-meringkas-beberapa-kolom\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara meringkas beberapa kolom menggunakan dplyr - Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara meringkas beberapa kolom dalam bingkai data menggunakan dplyr, dengan beberapa contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/dplyr-meringkas-beberapa-kolom\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-18T07:13:50+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-meringkas-beberapa-kolom\/\",\"url\":\"https:\/\/statorials.org\/id\/dplyr-meringkas-beberapa-kolom\/\",\"name\":\"Cara meringkas beberapa kolom menggunakan dplyr - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-18T07:13:50+00:00\",\"dateModified\":\"2023-07-18T07:13:50+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara meringkas beberapa kolom dalam bingkai data menggunakan dplyr, dengan beberapa contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/dplyr-meringkas-beberapa-kolom\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/dplyr-meringkas-beberapa-kolom\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/dplyr-meringkas-beberapa-kolom\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara meringkas beberapa kolom 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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