{"id":4176,"date":"2023-07-13T02:10:38","date_gmt":"2023-07-13T02:10:38","guid":{"rendered":"https:\/\/statorials.org\/id\/kumpulan-data-boston-r\/"},"modified":"2023-07-13T02:10:38","modified_gmt":"2023-07-13T02:10:38","slug":"kumpulan-data-boston-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/kumpulan-data-boston-r\/","title":{"rendered":"Panduan lengkap untuk kumpulan data boston di r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Kumpulan data <b>Boston<\/b> dari paket <strong>MASS<\/strong> di R berisi informasi tentang berbagai atribut pinggiran kota Boston, Massachusetts.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Tutorial ini menjelaskan cara menjelajahi, meringkas, dan memvisualisasikan kumpulan data <b>Boston<\/b> di R.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Muat kumpulan data Boston<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Sebelum kita dapat melihat dataset <strong>Boston<\/strong> , kita harus memuat paket <strong>MASS<\/strong> terlebih dahulu:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">library<\/span> (MASS)<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">Kita kemudian dapat menggunakan fungsi <strong>head()<\/strong> untuk menampilkan enam baris pertama kumpulan data:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#view first six rows of Boston dataset<\/span>\nhead(Boston)\n\n     crim zn indus chas nox rm age dis rad tax ptratio black lstat\n1 0.00632 18 2.31 0 0.538 6.575 65.2 4.0900 1 296 15.3 396.90 4.98\n2 0.02731 0 7.07 0 0.469 6.421 78.9 4.9671 2 242 17.8 396.90 9.14\n3 0.02729 0 7.07 0 0.469 7.185 61.1 4.9671 2 242 17.8 392.83 4.03\n4 0.03237 0 2.18 0 0.458 6.998 45.8 6.0622 3 222 18.7 394.63 2.94\n5 0.06905 0 2.18 0 0.458 7.147 54.2 6.0622 3 222 18.7 396.90 5.33\n6 0.02985 0 2.18 0 0.458 6.430 58.7 6.0622 3 222 18.7 394.12 5.21\n  medv\n1 24.0\n2 21.6\n3 34.7\n4 33.4\n5 36.2\n6 28.7\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">Untuk menampilkan deskripsi setiap variabel dalam dataset, kita dapat memasukkan yang berikut ini:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#view description of each variable in dataset<\/span>\n?Boston\n\n     This data frame contains the following columns:\n\n     'crime' per capita crime rate by town.\n\n     'zn' proportion of residential land zoned for lots over 25,000\n          sq.ft.\n\n     'industrial' proportion of non-retail business acres per town.\n\n     'chas' Charles River dummy variable (= 1 if tract bounds river; 0\n          otherwise).\n\n     'nox' nitrogen oxides concentration (parts per 10 million).\n\n     'rm' average number of rooms per dwelling.\n\n     'age' proportion of owner-occupied units built prior to 1940.\n\n     'dis' weighted mean of distances to five Boston employment\n          centers.\n\n     'rad' index of accessibility to radial highways.\n\n     'tax' full-value property-tax rate per $10,000.\n\n     'ptratio' pupil-teacher ratio by town.\n\n     'black' 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by\n          town.\n\n     'lstat' lower status of the population (percent).\n\n     'medv' median value of owner-occupied homes in $1000s.\n<\/strong><\/span><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>Ringkas kumpulan data Boston<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Kita dapat menggunakan fungsi <strong>ringkasan()<\/strong> untuk meringkas setiap variabel dalam kumpulan data dengan cepat:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#summarize Boston dataset<\/span>\nsummary(Boston)\n\n      crim zn indus chas        \n Min. : 0.00632 Min. : 0.00 Min. : 0.46 Min. :0.00000  \n 1st Q: 0.08205 1st Q: 0.00 1st Q: 5.19 1st Q: 0.00000  \n Median: 0.25651 Median: 0.00 Median: 9.69 Median: 0.00000  \n Mean: 3.61352 Mean: 11.36 Mean: 11.14 Mean: 0.06917  \n 3rd Qu.: 3.67708 3rd Qu.: 12.50 3rd Qu.: 18.10 3rd Qu.: 0.00000  \n Max. :88.97620 Max. :100.00 Max. :27.74 Max. :1.00000  \n      nox rm age dis        \n Min. :0.3850 Min. :3.561 Min. : 2.90 Min. : 1,130  \n 1st Qu.: 0.4490 1st Qu.: 5.886 1st Qu.: 45.02 1st Qu.: 2.100  \n Median: 0.5380 Median: 6.208 Median: 77.50 Median: 3.207  \n Mean: 0.5547 Mean: 6.285 Mean: 68.57 Mean: 3.795  \n 3rd Qu.: 0.6240 3rd Qu.: 6.623 3rd Qu.: 94.08 3rd Qu.: 5.188  \n Max. :0.8710 Max. :8,780 Max. :100.00 Max. :12,127  \n      rad tax ptratio black       \n Min. : 1,000 Min. :187.0 Min. :12.60 Min. : 0.32  \n 1st Qu.: 4,000 1st Qu.:279.0 1st Qu.:17.40 1st Qu.:375.38  \n Median: 5,000 Median: 330.0 Median: 19.05 Median: 391.44  \n Mean: 9.549 Mean: 408.2 Mean: 18.46 Mean: 356.67  \n 3rd Qu.:24,000 3rd Qu.:666.0 3rd Qu.:20.20 3rd Qu.:396.23  \n Max. :24,000 Max. :711.0 Max. :22.00 Max. :396.90  \n     lstat medv      \n Min. : 1.73 Min. : 5.00  \n 1st Q: 6.95 1st Q: 17.02  \n Median: 11.36 Median: 21.20  \n Mean:12.65 Mean:22.53  \n 3rd Qu.:16.95 3rd Qu.:25.00  \n Max. :37.97 Max. :50.00<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">Untuk masing-masing variabel numerik kita dapat melihat informasi berikut:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>Min<\/strong> : Nilai minimum.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Qu ke-1<\/strong> : Nilai kuartil pertama (persentil ke-25).<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Median<\/strong> : Nilai median.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Rata-rata<\/strong> : Nilai rata-rata.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Qu ke-3<\/strong> : Nilai kuartil ketiga (persentil ke-75).<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Maks<\/strong> : Nilai maksimum.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Kita dapat menggunakan fungsi <strong>dim()<\/strong> untuk mendapatkan dimensi kumpulan data dalam hal jumlah baris dan kolom:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#display rows and columns<\/span>\nsun(Boston)\n\n[1] 506 14\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">Kita dapat melihat bahwa dataset tersebut memiliki <b>506<\/b> baris dan <strong>14<\/strong> kolom.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Visualisasikan kumpulan data Boston<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Kita juga dapat membuat plot untuk memvisualisasikan nilai dari dataset.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Misalnya, kita dapat menggunakan fungsi <strong>hist()<\/strong> untuk membuat histogram dari nilai variabel tertentu:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#create histogram of values for 'rm' column<\/span>\nhist(Boston$rm,\n     col=' <span style=\"color: #ff0000;\">steelblue<\/span> ',\n     main=' <span style=\"color: #ff0000;\">Histogram of Rooms per Dwelling<\/span> ',\n     xlab=' <span style=\"color: #ff0000;\">Rooms<\/span> ',\n     ylab=' <span style=\"color: #ff0000;\">Frequency<\/span> ')\n<\/strong><\/span><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-33091 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/boston1.png\" alt=\"\" width=\"492\" height=\"486\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Kita juga dapat menggunakan fungsi <strong>plot()<\/strong> untuk membuat plot sebar dari kombinasi variabel apa pun yang berpasangan:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#create scatterplot of median home value vs crime rate\n<\/span><span style=\"color: #000000;\">plot(Boston$medv, Boston$crime,<\/span>\n     col=' <span style=\"color: #ff0000;\">steelblue<\/span> ',\n     main=' <span style=\"color: #ff0000;\">Median Home Value vs. Crime Rate<\/span> ',\n     xlab=' <span style=\"color: #ff0000;\">Median Home Value<\/span> ',\n     ylab=' <span style=\"color: #ff0000;\">Crime Rate<\/span> ',\n     pch= <span style=\"color: #008000;\">19<\/span> )<\/strong><\/span> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-33092 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/boston2.png\" alt=\"\" width=\"500\" height=\"474\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Kita dapat membuat diagram sebar serupa untuk memvisualisasikan hubungan antara dua variabel dalam kumpulan data.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Sumber daya tambahan<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Tutorial berikut memberikan panduan komprehensif untuk kumpulan data populer lainnya di R:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/id\/kumpulan-data-iris-r\/\" target=\"_blank\" rel=\"noopener\">Panduan Lengkap untuk Dataset Iris di R<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/kumpulan-data-mtcars-r\/\" target=\"_blank\" rel=\"noopener\">Panduan lengkap untuk dataset mtcars di R<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/r-kumpulan-data-berlian\/\" target=\"_blank\" rel=\"noopener\">Panduan Lengkap untuk Kumpulan Data Berlian di R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Kumpulan data Boston dari paket MASS di R berisi informasi tentang berbagai atribut pinggiran kota Boston, Massachusetts. Tutorial ini menjelaskan cara menjelajahi, meringkas, dan memvisualisasikan kumpulan data Boston di R. Muat kumpulan data Boston Sebelum kita dapat melihat dataset Boston , kita harus memuat paket MASS terlebih dahulu: library (MASS) Kita kemudian dapat menggunakan fungsi [&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>Panduan Lengkap untuk Kumpulan Data Boston di R - Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini memberikan panduan lengkap tentang dataset Boston di R, termasuk contoh cara menganalisis dataset.\" \/>\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\/kumpulan-data-boston-r\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Panduan Lengkap untuk Kumpulan Data Boston di R - Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini memberikan panduan lengkap tentang dataset Boston di R, termasuk contoh cara menganalisis dataset.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/kumpulan-data-boston-r\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-13T02:10:38+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/boston1.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=\"3 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/kumpulan-data-boston-r\/\",\"url\":\"https:\/\/statorials.org\/id\/kumpulan-data-boston-r\/\",\"name\":\"Panduan Lengkap untuk Kumpulan Data Boston di R - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-13T02:10:38+00:00\",\"dateModified\":\"2023-07-13T02:10:38+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini memberikan panduan lengkap tentang dataset Boston di R, termasuk contoh cara menganalisis dataset.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/kumpulan-data-boston-r\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/kumpulan-data-boston-r\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/kumpulan-data-boston-r\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Panduan lengkap untuk kumpulan data boston di r\"}]},{\"@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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