{"id":2517,"date":"2023-07-21T22:38:17","date_gmt":"2023-07-21T22:38:17","guid":{"rendered":"https:\/\/statorials.org\/id\/pengelompokan-data-dengan-python\/"},"modified":"2023-07-21T22:38:17","modified_gmt":"2023-07-21T22:38:17","slug":"pengelompokan-data-dengan-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/pengelompokan-data-dengan-python\/","title":{"rendered":"Cara melakukan pengelompokan data dengan python: dengan contoh"},"content":{"rendered":"

<\/p>\n

\n

Anda dapat menggunakan sintaks dasar berikut untuk melakukan pengelompokan data pada pandas DataFrame:<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#perform binning with 3 bins<\/span>\ndf[' new_bin<\/span> '] = pd. qcut<\/span> (df[' variable_name<\/span> '], q= 3<\/span> )\n<\/strong><\/pre>\n
 Contoh berikut menunjukkan cara menggunakan sintaksis ini dalam praktiknya dengan pandas DataFrame berikut:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' points<\/span> ': [4, 4, 7, 8, 12, 13, 15, 18, 22, 23, 23, 25],\n                   ' assists<\/span> ': [2, 5, 4, 7, 7, 8, 5, 4, 5, 11, 13, 8],\n                   ' rebounds<\/span> ': [7, 7, 4, 6, 3, 8, 9, 9, 12, 11, 8, 9]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n    points assists rebounds\n0 4 2 7\n1 4 5 7\n2 7 4 4\n3 8 7 6\n4 12 7 3\n5 13 8 8\n6 15 5 9\n7 18 4 9\n8 22 5 12\n9 23 11 11\n10 23 13 8\n11 25 8 9\n<\/span><\/span><\/strong><\/pre>\n
 Contoh 1: Lakukan pengelompokan data master<\/strong><\/span><\/h3>\n
 Kode berikut menunjukkan cara melakukan pengelompokan data pada variabel poin<\/strong> menggunakan fungsi qcut()<\/a> dengan tanda putus tertentu:<\/span><\/p>\n
 #perform data binning on variable points<\/em>\n<\/span>df[' points_bin<\/span> '] = pd. qcut<\/span> (df[' points<\/span> '], q= 3<\/span> )\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n    points assists rebounds points_bin\n0 4 2 7 (3,999, 10,667]\n1 4 5 7 (3,999, 10,667]\n2 7 4 4 (3,999, 10,667]\n3 8 7 6 (3,999, 10,667]\n4 12 7 3 (10,667, 19,333]\n5 13 8 8 (10,667, 19,333]\n6 15 5 9 (10,667, 19,333]\n7 18 4 9 (10,667, 19,333]\n8 22 5 12 (19.333, 25.0]\n9 23 11 11 (19.333, 25.0]\n10 23 13 8 (19.333, 25.0]\n11 25 8 9 (19.333, 25.0]\n<\/span><\/span><\/strong><\/pre>\n
 Perhatikan bahwa setiap baris dalam bingkai data telah ditempatkan ke dalam salah satu dari tiga kelompok berdasarkan nilai kolom titik.<\/span><\/p>\n
 Kita dapat menggunakan fungsi value_counts()<\/strong> untuk mengetahui berapa banyak baris yang ditempatkan di setiap nampan:<\/span><\/p>\n
 #count frequency of each bin\n<\/span>df[' points_bin<\/span> ']. value_counts<\/span> ()\n\n(3,999, 10,667] 4\n(10.667, 19.333] 4\n(19.333, 25.0] 4\nName: points_bin, dtype: int64\n<\/span><\/span><\/strong><\/pre>\n
 Kita dapat melihat bahwa setiap bin berisi 4 observasi.<\/span><\/p>\n
 Contoh 2: Lakukan pengelompokan data dengan kuantil tertentu<\/strong><\/span><\/h3>\n
 Kita juga dapat melakukan pengelompokan data menggunakan kuantil tertentu:<\/span><\/p>\n
 #perform data binning on variable points<\/em> with specific quantiles\n<\/span>df[' points_bin<\/span> '] = pd. qcut<\/span> (df[' points<\/span> '], q=[0, .2, .4, .6, .8, 1])\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n    points assists rebounds points_bin\n0 4 2 7 (3.999, 7.2]\n1 4 5 7 (3.999, 7.2]\n2 7 4 4 (3.999, 7.2]\n3 8 7 6 (7.2, 12.4]\n4 12 7 3 (7.2, 12.4]\n5 13 8 8 (12.4, 16.8]\n6 15 5 9 (12.4, 16.8]\n7 18 4 9 (16.8, 22.8]\n8 22 5 12 (16.8, 22.8]\n9 23 11 11 (22.8, 25.0]\n10 23 13 8 (22.8, 25.0]\n11 25 8 9 (22.8, 25.0]\n<\/span><\/span><\/strong><\/pre>\n
 Contoh 3:<\/strong><\/span> Lakukan pengelompokan data dengan label<\/strong><\/span><\/h3>\n
 Kami juga dapat melakukan pengelompokan data menggunakan kuantil dan label tertentu:<\/span><\/p>\n
 #perform data binning on points<\/em> variable with specific quantiles and labels\n<\/span>df[' points_bin<\/span> '] = pd. qcut<\/span> (df[' points<\/span> '],\n                           q=[0, .2, .4, .6, .8, 1],\n                           labels=[' A<\/span> ',' B<\/span> ',' C<\/span> ',' D<\/span> ',' E<\/span> '])\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n    points assists rebounds points_bin\n0 4 2 7 A\n1 4 5 7 A\n2 7 4 4 A\n3 8 7 6 B\n4 12 7 3 B\n5 13 8 8 C\n6 15 5 9 C\n7 18 4 9 D\n8 22 5 12 D\n9 23 11 11 E\n10 23 13 8 E\n11 25 8 9 E\n<\/span><\/span><\/strong><\/pre>\n
 Perhatikan bahwa setiap baris telah diberi nampan berdasarkan nilai kolom titik<\/strong> dan nampan telah diberi label menggunakan huruf.<\/span><\/p>\n
 Sumber daya tambahan<\/strong><\/span><\/h3>\n
 Tutorial berikut menjelaskan cara melakukan tugas umum lainnya di panda:<\/span><\/p>\n
 Pandas: cara menggunakan fungsi value_counts()<\/a>
 Pandas: Cara membuat tabel pivot dengan jumlah nilai<\/a>
 Pandas: cara menghitung kemunculan nilai tertentu dalam sebuah kolom<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Anda dapat menggunakan sintaks dasar berikut untuk melakukan pengelompokan data pada pandas DataFrame: import pandas as pd #perform binning with 3 bins df[‘ new_bin ‘] = pd. qcut (df[‘ variable_name ‘], q= 3 ) Contoh berikut menunjukkan cara menggunakan sintaksis ini dalam praktiknya dengan pandas DataFrame berikut: import pandas as pd #createDataFrame df = pd. […]<\/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 Melakukan Clustering Data dengan Python (dengan Contoh) - Statologi<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara melakukan pengelompokan data dengan Python, 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\/pengelompokan-data-dengan-python\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara Melakukan Clustering Data dengan Python (dengan Contoh) - Statologi\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara melakukan pengelompokan data dengan Python, dengan beberapa contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/pengelompokan-data-dengan-python\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-21T22:38:17+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\/pengelompokan-data-dengan-python\/\",\"url\":\"https:\/\/statorials.org\/id\/pengelompokan-data-dengan-python\/\",\"name\":\"Cara Melakukan Clustering Data dengan Python (dengan Contoh) - Statologi\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-21T22:38:17+00:00\",\"dateModified\":\"2023-07-21T22:38:17+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara melakukan pengelompokan data dengan Python, dengan beberapa contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/pengelompokan-data-dengan-python\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/pengelompokan-data-dengan-python\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/pengelompokan-data-dengan-python\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara melakukan pengelompokan data dengan python: dengan contoh\"}]},{\"@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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