{"id":867,"date":"2023-07-28T12:05:41","date_gmt":"2023-07-28T12:05:41","guid":{"rendered":"https:\/\/statorials.org\/id\/plot-interval-kepercayaan-python\/"},"modified":"2023-07-28T12:05:41","modified_gmt":"2023-07-28T12:05:41","slug":"plot-interval-kepercayaan-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/plot-interval-kepercayaan-python\/","title":{"rendered":"Cara memplot interval kepercayaan dengan python"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>Interval kepercayaan<\/strong> adalah rentang nilai yang kemungkinan memuat parameter populasi dengan tingkat kepercayaan tertentu.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Tutorial ini menjelaskan cara memplot interval kepercayaan untuk kumpulan data dengan Python menggunakan <a href=\"https:\/\/seaborn.pydata.org\/index.html\" target=\"_blank\" rel=\"noopener\">perpustakaan visualisasi Seaborn<\/a> .<\/span><\/p>\n<h3> <strong><span style=\"color: #000000;\">Merencanakan interval kepercayaan menggunakan lineplot()<\/span><\/strong><\/h3>\n<p> <span style=\"color: #000000;\">Cara pertama untuk memplot interval kepercayaan adalah dengan menggunakan<a href=\"https:\/\/seaborn.pydata.org\/generated\/seaborn.lineplot.html\" target=\"_blank\" rel=\"noopener\">fungsi lineplot()<\/a> , yang menghubungkan semua titik data dalam kumpulan data dengan sebuah garis dan menampilkan pita kepercayaan di sekitar setiap titik:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #107d3f;\">import<\/span> seaborn <span style=\"color: #107d3f;\">as<\/span> sns\n<span style=\"color: #107d3f;\">import<\/span> matplotlib.pyplot <span style=\"color: #107d3f;\">as<\/span> plt\n<span style=\"color: #008080;\">\n#create some random data<\/span>\nnp.random.seed(0)\nx = np.random.randint(1, 10, 30)\ny = x+np.random.normal(0, 1, 30)\n\n<span style=\"color: #008080;\">#create lineplot<\/span>\nax = sns.lineplot(x, y)\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9400 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/plotcipython1.png\" alt=\"Bagan Interval Keyakinan dengan Python\" width=\"401\" height=\"279\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Secara default, fungsi lineplot() menggunakan interval kepercayaan 95% namun dapat menentukan tingkat kepercayaan untuk digunakan dengan perintah <strong>ci<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Semakin kecil tingkat kepercayaannya, semakin sempit interval kepercayaan di sekitar garis tersebut. Misalnya, seperti inilah interval kepercayaan 80% untuk kumpulan data yang sama persis:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create lineplot\n<\/span>ax = sns.lineplot(x, y, ci= <span style=\"color: #008000;\">80<\/span> )\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-9401 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/plotcipython2.png\" alt=\"Interval kepercayaan dengan Python menggunakan Seaborn\" width=\"401\" height=\"269\" srcset=\"\" sizes=\"\"><\/p>\n<h3> <strong><span style=\"color: #000000;\">Merencanakan interval kepercayaan menggunakan regplot()<\/span><\/strong><\/h3>\n<p> <span style=\"color: #000000;\">Anda juga dapat memplot interval keyakinan menggunakan <a href=\"https:\/\/seaborn.pydata.org\/generated\/seaborn.regplot.html\" target=\"_blank\" rel=\"noopener\">fungsi regplot()<\/a> , yang menampilkan plot sebar kumpulan data dengan pita keyakinan di sekitar perkiraan garis regresi:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #107d3f;\">import<\/span> seaborn <span style=\"color: #107d3f;\">as<\/span> sns\n<span style=\"color: #107d3f;\">import<\/span> matplotlib.pyplot <span style=\"color: #107d3f;\">as<\/span> plt\n<span style=\"color: #008080;\">\n#create some random data<\/span>\nnp.random.seed(0)\nx = np.random.randint(1, 10, 30)\ny = x+np.random.normal(0, 1, 30)\n\n<span style=\"color: #008080;\">#create regplot<\/span>\nax = sns.regplot(x, y)<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9402 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/plotcipython3.png\" alt=\"Sebarkan plot dengan interval kepercayaan dengan Python\" width=\"399\" height=\"268\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Mirip dengan lineplot(), fungsi regplot() secara default memiliki interval kepercayaan 95% tetapi dapat menentukan tingkat kepercayaan yang akan digunakan dengan perintah <strong>ci<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Sekali lagi, semakin kecil tingkat kepercayaannya, semakin sempit interval kepercayaan di sekitar garis regresi. Misalnya, seperti inilah interval kepercayaan 80% untuk kumpulan data yang sama persis:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create regplot<\/span>\nax = sns.regplot(x, y, ci= <span style=\"color: #008000;\">80<\/span> )\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9403 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/plotcipython4.png\" alt=\"Merencanakan Interval Keyakinan dengan Python\" width=\"399\" height=\"264\" srcset=\"\" sizes=\"\"><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Sumber daya tambahan<\/strong><\/span><\/h3>\n<p> Apa yang dimaksud dengan interval kepercayaan?<br \/> <a href=\"https:\/\/statorials.org\/id\/interval-kepercayaan-python\/\">Cara menghitung interval kepercayaan dengan Python<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Interval kepercayaan adalah rentang nilai yang kemungkinan memuat parameter populasi dengan tingkat kepercayaan tertentu. Tutorial ini menjelaskan cara memplot interval kepercayaan untuk kumpulan data dengan Python menggunakan perpustakaan visualisasi Seaborn . Merencanakan interval kepercayaan menggunakan lineplot() Cara pertama untuk memplot interval kepercayaan adalah dengan menggunakanfungsi lineplot() , yang menghubungkan semua titik data dalam kumpulan data [&hellip;]<\/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":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Cara Merencanakan Interval Keyakinan dengan Python - Statologi<\/title>\n<meta name=\"description\" content=\"Penjelasan sederhana tentang cara memplot interval kepercayaan dengan Python.\" \/>\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\/plot-interval-kepercayaan-python\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara Merencanakan Interval Keyakinan dengan Python - Statologi\" \/>\n<meta property=\"og:description\" content=\"Penjelasan sederhana tentang cara memplot interval kepercayaan dengan Python.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/plot-interval-kepercayaan-python\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T12:05:41+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/plotcipython1.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=\"1 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/plot-interval-kepercayaan-python\/\",\"url\":\"https:\/\/statorials.org\/id\/plot-interval-kepercayaan-python\/\",\"name\":\"Cara Merencanakan Interval Keyakinan dengan Python - Statologi\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-28T12:05:41+00:00\",\"dateModified\":\"2023-07-28T12:05:41+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Penjelasan sederhana tentang cara memplot interval kepercayaan dengan Python.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/plot-interval-kepercayaan-python\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/plot-interval-kepercayaan-python\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/plot-interval-kepercayaan-python\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara memplot interval kepercayaan dengan python\"}]},{\"@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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