{"id":961,"date":"2023-07-28T04:33:25","date_gmt":"2023-07-28T04:33:25","guid":{"rendered":"https:\/\/statorials.org\/id\/rentang-interkuartil-python\/"},"modified":"2023-07-28T04:33:25","modified_gmt":"2023-07-28T04:33:25","slug":"rentang-interkuartil-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/rentang-interkuartil-python\/","title":{"rendered":"Cara menghitung rentang interkuartil dengan python"},"content":{"rendered":"

<\/p>\n

\n

Rentang<\/strong> interkuartil<\/strong> , sering disebut “IQR”, adalah cara untuk mengukur distribusi 50% tengah kumpulan data. Ini dihitung sebagai selisih antara kuartil pertama* (persentil ke-25) dan kuartil ketiga (persentil ke-75) dari kumpulan data.<\/span><\/p>\n

Untungnya, mudah untuk menghitung rentang interkuartil suatu kumpulan data dengan Python menggunakan fungsi numpy.percentile()<\/a> .<\/span><\/p>\n

Tutorial ini menunjukkan beberapa contoh penggunaan praktis fungsi ini.<\/span><\/p>\n

Contoh 1: rentang interkuartil suatu tabel<\/strong><\/span><\/h3>\n

Kode berikut menunjukkan cara menghitung rentang nilai interkuartil dalam satu tabel:<\/span><\/p>\n

 import<\/span> numpy as<\/span> np\n\n#define array of data<\/span>\ndata = np.array([14, 19, 20, 22, 24, 26, 27, 30, 30, 31, 36, 38, 44, 47])\n\n#calculate interquartile range<\/span> \nq3, q1 = np. percentile<\/span> (data, [75,25])\niqr = q3 - q1\n\n#display interquartile range<\/span> \niqr\n\n12.25<\/strong><\/pre>\n
 Rentang interkuartil kumpulan data ini ternyata adalah 12,25<\/strong> . Ini adalah sebaran 50% tengah dari nilai dalam dataset ini.<\/span><\/p>\n
 Contoh 2: Rentang Interkuartil dari Kolom Bingkai Data<\/strong><\/span><\/h3>\n
 Kode berikut menunjukkan cara menghitung rentang interkuartil untuk satu kolom dalam bingkai data:<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\nimport<\/span> pandas as<\/span> pd\n\n#create data frame<\/span>\ndf = pd.DataFrame({'rating': [90, 85, 82, 88, 94, 90, 76, 75, 87, 86],\n                   'points': [25, 20, 14, 16, 27, 20, 12, 15, 14, 19],\n                   'assists': [5, 7, 7, 8, 5, 7, 6, 9, 9, 5],\n                   'rebounds': [11, 8, 10, 6, 6, 9, 6, 10, 10, 7]})\n\n#calculate interquartile range of values in the 'points' column<\/span>\nq75, q25 = np. percentile<\/span> (df['points'], [75,25])\niqr = q75 - q25\n\n#display interquartile range<\/span> \niqr\n\n5.75<\/strong><\/pre>\n
 Rentang nilai antarkuartil pada kolom poin ternyata 5,75<\/strong> .<\/span><\/p>\n
 Contoh 3: Rentang interkuartil dari beberapa kolom bingkai data<\/strong><\/span><\/h3>\n
 Kode berikut menunjukkan cara menghitung rentang interkuartil beberapa kolom dalam bingkai data secara bersamaan:<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\nimport<\/span> pandas as<\/span> pd\n\n#create data frame<\/span>\ndf = pd.DataFrame({'rating': [90, 85, 82, 88, 94, 90, 76, 75, 87, 86],\n                   'points': [25, 20, 14, 16, 27, 20, 12, 15, 14, 19],\n                   'assists': [5, 7, 7, 8, 5, 7, 6, 9, 9, 5],\n                   'rebounds': [11, 8, 10, 6, 6, 9, 6, 10, 10, 7]})\n\n#define function to calculate interquartile range\n<\/span>def<\/span> find_iqr(x):\n  return<\/span> np. subtract<\/span> (*np. percentile<\/span> (x, [75, 25]))\n\n#calculate IQR for 'rating' and 'points' columns\n<\/span>df[[' rating<\/span> ', ' points<\/span> ']]. apply<\/span> (find_iqr)\n\nrating 6.75\npoints 5.75\ndtype:float64\n\n#calculate IQR for all columns\n<\/span>df. apply<\/span> (find_iqr)\n\nrating 6.75\npoints 5.75\nassists 2.50\nrebounds 3.75\ndtype:float64\n<\/strong><\/pre>\n
 Sumber daya tambahan<\/strong><\/span><\/h3>\n
Apakah rentang antarkuartil (IQR) dipengaruhi oleh outlier?<\/a>
 Cara Menghitung Rentang Interkuartil (IQR) di Excel<\/a>
 Kalkulator Rentang Interkuartil<\/p>\n","protected":false},"excerpt":{"rendered":"
Rentang interkuartil , sering disebut “IQR”, adalah cara untuk mengukur distribusi 50% tengah kumpulan data. Ini dihitung sebagai selisih antara kuartil pertama* (persentil ke-25) dan kuartil ketiga (persentil ke-75) dari kumpulan data. Untungnya, mudah untuk menghitung rentang interkuartil suatu kumpulan data dengan Python menggunakan fungsi numpy.percentile() . Tutorial ini menunjukkan beberapa contoh penggunaan praktis fungsi […]<\/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 menghitung rentang interkuartil dengan Python - Statorials<\/title>\n<meta name=\"description\" content=\"Penjelasan sederhana tentang cara menghitung rentang interkuartil 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\/rentang-interkuartil-python\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara menghitung rentang interkuartil dengan Python - Statorials\" \/>\n<meta property=\"og:description\" content=\"Penjelasan sederhana tentang cara menghitung rentang interkuartil dengan Python.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/rentang-interkuartil-python\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T04:33:25+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\/rentang-interkuartil-python\/\",\"url\":\"https:\/\/statorials.org\/id\/rentang-interkuartil-python\/\",\"name\":\"Cara menghitung rentang interkuartil dengan Python - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-28T04:33:25+00:00\",\"dateModified\":\"2023-07-28T04:33:25+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Penjelasan sederhana tentang cara menghitung rentang interkuartil dengan Python.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/rentang-interkuartil-python\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/rentang-interkuartil-python\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/rentang-interkuartil-python\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menghitung rentang interkuartil 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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 Catatan:<\/strong> Kami menggunakan fungsi pandas.DataFrame.apply()<\/a> untuk menghitung IQR untuk beberapa kolom dalam bingkai data di atas.<\/span><\/p>\n