{"id":4070,"date":"2023-07-13T19:29:39","date_gmt":"2023-07-13T19:29:39","guid":{"rendered":"https:\/\/statorials.org\/id\/sebaran-petak-laut\/"},"modified":"2023-07-13T19:29:39","modified_gmt":"2023-07-13T19:29:39","slug":"sebaran-petak-laut","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/sebaran-petak-laut\/","title":{"rendered":"Cara merencanakan distribusi di seaborn: dengan contoh"},"content":{"rendered":"

<\/p>\n

\n

Anda dapat menggunakan metode berikut untuk memplot distribusi nilai dengan Python menggunakan pustaka visualisasi data seaborn<\/a> :<\/span><\/p>\n

Metode 1: Plot distribusi menggunakan histogram<\/strong><\/span><\/p>\n

 sns. displot<\/span> (data)\n<\/strong><\/pre>\n
 Metode 2: Plot distribusi menggunakan kurva kepadatan<\/strong><\/span><\/p>\n
 sns. displot<\/span> (data, kind=' kde<\/span> ')<\/strong><\/pre>\n
 Metode 3: Plot distribusi menggunakan histogram dan kurva kepadatan<\/strong><\/span><\/p>\n
 sns. displot<\/span> (data, kde= True<\/span> )<\/strong><\/pre>\n
 Contoh berikut menunjukkan cara menggunakan masing-masing metode dalam praktik.<\/span><\/p>\n
 Contoh 1: Merencanakan Distribusi Menggunakan Histogram<\/strong><\/span><\/h2>\n
 Kode berikut menunjukkan cara memplot distribusi nilai dalam array NumPy menggunakan fungsi displot()<\/strong> di seaborn:<\/span> <\/p>\n
 import<\/span> seaborn as<\/span> sns\nimport<\/span> numpy as<\/span> np\n\n#make this example reproducible\n<\/span>n.p. random<\/span> . seed<\/span> ( 1<\/span> )\n\n#create array of 1000 values that follows a normal distribution with mean of 10\n<\/span>data = np. random<\/span> . normal<\/span> (size= 1000<\/span> , loc= 10<\/span> )\n\n#create histogram to visualize distribution of values\n<\/span>sns. displot<\/span> (data)\n<\/strong><\/span><\/pre>\n
\"\"<\/p>\n
 Sumbu X menampilkan nilai distribusi dan sumbu Y menampilkan jumlah setiap nilai.<\/span><\/p>\n
 Untuk mengubah jumlah bin yang digunakan dalam histogram, Anda dapat menentukan nomor menggunakan argumen bins<\/strong> :<\/span> <\/p>\n
 import<\/span> seaborn as<\/span> sns\nimport<\/span> numpy as<\/span> np\n\n#make this example reproducible\n<\/span>n.p. random<\/span> . seed<\/span> ( 1<\/span> )\n\n#create array of 1000 values that follows a normal distribution with mean of 10\n<\/span>data = np. random<\/span> . normal<\/span> (size= 1000<\/span> , loc= 10<\/span> )\n\n#create histogram using 10 bins\n<\/span>sns. displot<\/span> (data, bins= 10<\/span> )<\/strong><\/span> <\/pre>\n
\"\"<\/p>\n
 Contoh 2: Merencanakan Distribusi Menggunakan Kurva Massa Jenis<\/strong><\/span><\/h2>\n
 Kode berikut menunjukkan cara memplot distribusi nilai dalam array NumPy menggunakan kurva kepadatan:<\/span> <\/p>\n
 import<\/span> seaborn as<\/span> sns\nimport<\/span> numpy as<\/span> np\n\n#make this example reproducible\n<\/span>n.p. random<\/span> . seed<\/span> ( 1<\/span> )\n\n#create array of 1000 values that follows a normal distribution with mean of 10\n<\/span>data = np. random<\/span> . normal<\/span> (size= 1000<\/span> , loc= 10<\/span> )\n\n#create density curve to visualize distribution of values\n<\/span>sns. displot<\/span> (data, kind=' kde<\/span> ')\n<\/strong><\/span><\/pre>\n
\"\"<\/p>\n
 Sumbu x menampilkan nilai distribusi dan sumbu y menampilkan frekuensi relatif setiap nilai.<\/span><\/p>\n
 Perhatikan bahwa kind=’kde’<\/strong> memberitahu seaborn untuk menggunakan estimasi kepadatan kernel<\/strong> , yang menghasilkan kurva halus yang merangkum distribusi nilai suatu variabel.<\/span><\/p>\n
 Contoh 3: Merencanakan Distribusi Menggunakan Histogram dan Kurva Kepadatan<\/strong><\/span><\/h2>\n
 Kode berikut menunjukkan cara memplot distribusi nilai dalam array NumPy menggunakan histogram dengan kurva kepadatan yang ditumpangkan:<\/span> <\/p>\n
 import<\/span> seaborn as<\/span> sns\nimport<\/span> numpy as<\/span> np\n\n#make this example reproducible\n<\/span>n.p. random<\/span> . seed<\/span> ( 1<\/span> )\n\n#create array of 1000 values that follows a normal distribution with mean of 10\n<\/span>data = np. random<\/span> . normal<\/span> (size= 1000<\/span> , loc= 10<\/span> )\n\n#create histogram with density curve overlaid to visualize distribution of values\n<\/span>sns. displot<\/span> (data, kde= True<\/span> )\n<\/strong><\/span><\/pre>\n
\"\"<\/p>\n
 Hasilnya adalah histogram dengan kurva kepadatan yang ditumpangkan.<\/span><\/p>\n
 Catatan<\/strong> : Anda dapat menemukan dokumentasi lengkap untuk fungsi seaborn displot()<\/strong> di sini<\/a> .<\/span><\/p>\n
 Sumber daya tambahan<\/strong><\/span><\/h2>\n
 Tutorial berikut menjelaskan cara melakukan tugas umum lainnya menggunakan seaborn:<\/span><\/p>\n
 Cara Menambahkan Judul ke Plot Seaborn<\/a>
 Cara mengubah ukuran font di plot Seaborn<\/a>
 Cara menyesuaikan jumlah kutu di plot Seaborn<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Anda dapat menggunakan metode berikut untuk memplot distribusi nilai dengan Python menggunakan pustaka visualisasi data seaborn : Metode 1: Plot distribusi menggunakan histogram sns. displot (data) Metode 2: Plot distribusi menggunakan kurva kepadatan sns. displot (data, kind=’ kde ‘) Metode 3: Plot distribusi menggunakan histogram dan kurva kepadatan sns. displot (data, kde= True ) Contoh […]<\/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 Merencanakan Distribusi di Seaborn (dengan Contoh) - Statologi<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara memplot distribusi di Seaborn, 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\/sebaran-petak-laut\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara Merencanakan Distribusi di Seaborn (dengan Contoh) - Statologi\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara memplot distribusi di Seaborn, dengan beberapa contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/sebaran-petak-laut\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-13T19:29:39+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/deploiement1.png\" \/>\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\/sebaran-petak-laut\/\",\"url\":\"https:\/\/statorials.org\/id\/sebaran-petak-laut\/\",\"name\":\"Cara Merencanakan Distribusi di Seaborn (dengan Contoh) - Statologi\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-13T19:29:39+00:00\",\"dateModified\":\"2023-07-13T19:29:39+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara memplot distribusi di Seaborn, dengan beberapa contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/sebaran-petak-laut\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/sebaran-petak-laut\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/sebaran-petak-laut\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara merencanakan distribusi di seaborn: 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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