{"id":829,"date":"2023-07-28T15:10:19","date_gmt":"2023-07-28T15:10:19","guid":{"rendered":"https:\/\/statorials.org\/id\/matriks-korelasi-python\/"},"modified":"2023-07-28T15:10:19","modified_gmt":"2023-07-28T15:10:19","slug":"matriks-korelasi-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/matriks-korelasi-python\/","title":{"rendered":"Cara membuat matriks korelasi dengan python"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Salah satu cara untuk mengukur hubungan antara dua variabel adalah dengan menggunakan <a href=\"https:\/\/statorials.org\/id\/koefisien-korelasi-pearson-1\/\" target=\"_blank\" rel=\"noopener\">koefisien korelasi Pearson<\/a> , yang merupakan ukuran hubungan linier antara dua variabel <em>.<\/em><\/span><\/p>\n<p> <span style=\"color: #000000;\">Dibutuhkan nilai antara -1 dan 1 di mana:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">-1 menunjukkan korelasi linier negatif sempurna.<\/span><\/li>\n<li> <span style=\"color: #000000;\">0 menunjukkan tidak ada korelasi linier.<\/span><\/li>\n<li> <span style=\"color: #000000;\">1 menunjukkan korelasi linier positif sempurna.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Semakin jauh koefisien korelasi dari nol maka semakin kuat hubungan kedua variabel tersebut.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Namun dalam beberapa kasus, kami ingin memahami korelasi antara beberapa pasangan variabel. Dalam kasus ini, kita dapat membuat <a href=\"https:\/\/statorials.org\/id\/cara-membaca-matriks-korelasi\/\" target=\"_blank\" rel=\"noopener\">matriks korelasi<\/a> , yaitu tabel persegi yang menunjukkan koefisien korelasi antara beberapa kombinasi variabel berpasangan.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Tutorial ini menjelaskan cara membuat dan menafsirkan matriks korelasi dengan Python.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Cara Membuat Matriks Korelasi dengan Python<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Gunakan langkah-langkah berikut untuk membuat matriks korelasi dengan Python.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Langkah 1: Buat kumpulan data.<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n\ndata = {'assists': [4, 5, 5, 6, 7, 8, 8, 10],\n        'rebounds': [12, 14, 13, 7, 8, 8, 9, 13],\n        'points': [22, 24, 26, 26, 29, 32, 20, 14]\n        }\n\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> (data, columns=['assists','rebounds','points'])\ndf\n\n   assist rebound points\n0 4 12 22\n1 5 14 24\n2 5 13 26\n3 6 7 26\n4 7 8 29\n5 8 8 32\n6 8 9 20\n7 10 13 14\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Langkah 2: Buat matriks korelasi.<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create correlation matrix<\/span>\ndf. <span style=\"color: #3366ff;\">corr<\/span> ()\n\n                assists rebound points\nassists 1.000000 -0.244861 -0.329573\nrebounds -0.244861 1.000000 -0.522092\npoints -0.329573 -0.522092 1.000000\n\n<span style=\"color: #008080;\">#create same correlation matrix with coefficients rounded to 3 decimals<\/span> \ndf. <span style=\"color: #3366ff;\">corr<\/span> (). <span style=\"color: #3366ff;\">round<\/span> (3)\n\t       assists rebound points\nassists 1.000 -0.245 -0.330\nrebounds -0.245 1.000 -0.522\npoints -0.330 -0.522 1.000\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Langkah 3: Interpretasikan matriks korelasi.<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Koefisien korelasi sepanjang diagonal tabel semuanya sama dengan 1 karena setiap variabel berkorelasi sempurna dengan variabelnya sendiri.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Semua koefisien korelasi lainnya menunjukkan korelasi antara kombinasi variabel berpasangan yang berbeda. Misalnya:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Koefisien korelasi antara assist dan rebound adalah <strong>-0,245<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">Koefisien korelasi antara assist dan poin adalah <strong>-0,330<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">Koefisien korelasi antara rebound dan poin adalah <strong>-0,522<\/strong> .<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><strong>Langkah 4: Visualisasikan matriks korelasi (opsional).<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Anda dapat memvisualisasikan matriks korelasi menggunakan <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/user_guide\/style.html\" target=\"_blank\" rel=\"noopener\">opsi gaya<\/a> yang tersedia di pandas:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>corr = df. <span style=\"color: #3366ff;\">corr<\/span> ()\ncorr. <span style=\"color: #3366ff;\">style<\/span> . <span style=\"color: #3366ff;\">background_gradient<\/span> (cmap='coolwarm')\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9176 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/correlationmatrixpython1.png\" alt=\"Matriks Korelasi dengan Python\" width=\"309\" height=\"135\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Anda juga dapat memodifikasi argumen <strong>cmap<\/strong> untuk menghasilkan matriks korelasi dengan warna berbeda.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>corr = df. <span style=\"color: #3366ff;\">corr<\/span> ()\ncorr. <span style=\"color: #3366ff;\">style<\/span> . <span style=\"color: #3366ff;\">background_gradient<\/span> (cmap=' <span style=\"color: #800080;\">RdYlGn<\/span> ')<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9177 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/correlationmatrixpython2.png\" alt=\"Matriks korelasi dengan matplotlib dengan Python\" width=\"297\" height=\"125\" srcset=\"\" sizes=\"\"><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>corr = df. <span style=\"color: #3366ff;\">corr<\/span> ()\ncorr. <span style=\"color: #3366ff;\">style<\/span> . <span style=\"color: #3366ff;\">background_gradient<\/span> (cmap=' <span style=\"color: #800080;\">bwr<\/span> ')<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9179 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/correlationmatrixpython3.png\" alt=\"Matriks korelasi menggunakan Pandas\" width=\"309\" height=\"125\" srcset=\"\" sizes=\"\"><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>corr = df. <span style=\"color: #3366ff;\">corr<\/span> ()\ncorr. <span style=\"color: #3366ff;\">style<\/span> . <span style=\"color: #3366ff;\">background_gradient<\/span> (cmap=' <span style=\"color: #800080;\">PuOr<\/span> ')<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9180 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/correlationmatrixpython4.png\" alt=\"Contoh Matriks Korelasi dengan Python\" width=\"306\" height=\"125\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\"><strong>Catatan<\/strong> : Untuk daftar lengkap argumen <strong>cmap<\/strong> , lihat <a href=\"https:\/\/matplotlib.org\/stable\/tutorials\/colors\/colormaps.html\" target=\"_blank\" rel=\"noopener\">dokumentasi matplotlib<\/a> .<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Salah satu cara untuk mengukur hubungan antara dua variabel adalah dengan menggunakan koefisien korelasi Pearson , yang merupakan ukuran hubungan linier antara dua variabel . Dibutuhkan nilai antara -1 dan 1 di mana: -1 menunjukkan korelasi linier negatif sempurna. 0 menunjukkan tidak ada korelasi linier. 1 menunjukkan korelasi linier positif sempurna. Semakin jauh koefisien korelasi [&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 Membuat Matriks Korelasi dengan Python - Statologi<\/title>\n<meta name=\"description\" content=\"Penjelasan sederhana cara membuat matriks korelasi dengan Python, disertai 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\/matriks-korelasi-python\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara Membuat Matriks Korelasi dengan Python - Statologi\" \/>\n<meta property=\"og:description\" content=\"Penjelasan sederhana cara membuat matriks korelasi dengan Python, disertai beberapa contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/matriks-korelasi-python\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T15:10:19+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/correlationmatrixpython1.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\/matriks-korelasi-python\/\",\"url\":\"https:\/\/statorials.org\/id\/matriks-korelasi-python\/\",\"name\":\"Cara Membuat Matriks Korelasi dengan Python - Statologi\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-28T15:10:19+00:00\",\"dateModified\":\"2023-07-28T15:10:19+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Penjelasan sederhana cara membuat matriks korelasi dengan Python, disertai beberapa contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/matriks-korelasi-python\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/matriks-korelasi-python\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/matriks-korelasi-python\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara membuat matriks korelasi 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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