{"id":2060,"date":"2026-07-27T02:10:31","date_gmt":"2026-07-27T02:10:31","guid":{"rendered":"https:\/\/www.vpascode.com\/id\/docs\/uncategorized\/boxplot-chart-statistical-distribution-and-outlier-spotting-guide\/"},"modified":"2026-07-27T02:10:31","modified_gmt":"2026-07-27T02:10:31","slug":"boxplot-chart-statistical-distribution-and-outlier-spotting-guide","status":"publish","type":"ld_docs","link":"https:\/\/www.vpascode.com\/id\/docs\/vpascode-docs\/boxplot-chart-statistical-distribution-and-outlier-spotting-guide\/","title":{"rendered":"Grafik Boxplot: Distribusi Statistik dan Deteksi Pencilan"},"content":{"rendered":"

Ketika Anda perlu menganalisis penyebaran data dan mengidentifikasi titik data yang tidak biasa di berbagai kelompok, Grafik Boxplot<\/strong> (atau Grafik Kotak dan Sirip) adalah alat visual statistik standar. Dengan merangkum data kontinu menjadi lima angka kunci\u2014Nilai Minimum, Kuartil Pertama (Q1), Median (Q2), Kuartil Ketiga (Q3), dan Nilai Maksimum\u2014grafik boxplot mengungkapkan kecondongan, keragaman, dan pencilan ekstrem<\/em> secara langsung tanpa memenuhi layar dengan data mentah.<\/p>\n

Mekanisme Grafik Boxplot<\/h2>\n

Di Apache ECharts, kotak statistik dirender menggunakan type: 'boxplot'<\/code>. Setiap entri dataset mengharapkan array numerik 5 elemen yang diurutkan sebagai [Minimum, Q1, Median, Q3, Maksimum]<\/code>. ECharts juga menyertakan alat persiapan data bawaan untuk menghitung batas statistik ini langsung dari angka mentah.<\/p>\n

1. Pengaturan Dasar<\/h3>\n

Untuk membuat boxplot dasar, peta kategori sepanjang sumbu X dan sediakan array ringkasan 5 angka yang telah dihitung di dalam data seri Anda:<\/p>\n

\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nEdit ECharts di VPasCode<\/span>
\n<\/a>\n<\/div>\n
\n
\r\n
\r\n ECharts<\/span>\r\n \r\n <\/path><\/path><\/svg>\r\n Edit ECharts in VPasCode<\/span>\r\n <\/a>\r\n <\/div>\r\n
\r\n 
option = {\r\n    tooltip: {\r\n        trigger: 'item',\r\n        axisPointer: { type: 'shadow' }\r\n    },\r\n    xAxis: {\r\n        type: 'category',\r\n        data: ['Kategori 1', 'Kategori 2', 'Kategori 3', 'Kategori 4', 'Kategori 5']\r\n    },\r\n    yAxis: {\r\n        type: 'value',\r\n        name: 'Nilai Distribusi'\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Boxplot',\r\n            type: 'boxplot',\r\n            data: [\r\n                [655, 850, 940, 980, 1070], \/\/ [Min, Q1, Median, Q3, Maks]\r\n                [760, 800, 845, 885, 960],\r\n                [780, 840, 855, 880, 940],\r\n                [720, 767, 815, 865, 920],\r\n                [890, 920, 950, 970, 990]\r\n            ]\r\n        }\r\n    ]\r\n};<\/code><\/pre>                <\/div>\r\n                
\r\n                    \r\n                        <\/path><\/path><\/svg>\r\n                        Edit ECharts in VPasCode<\/span>\r\n                    <\/a>\r\n                <\/div>\r\n            <\/div>\r\n            \n<\/p><\/div>\n
\n
\n<\/path><\/path><\/svg>
\nEdit ECharts di VPasCode<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
Teknik Struktural Lanjutan<\/h2>\n
Anda dapat menambahkan titik-titik pencar pencilan atau membuat boxplot horizontal untuk kategori dengan nama yang panjang.<\/p>\n
1. Tata Letak Boxplot Horizontal<\/h3>\n
Atur yAxis<\/code> sebagai skala kategori dan xAxis<\/code> sebagai skala nilai numerik untuk membalik boxplot secara horizontal agar label lebih mudah dibaca:<\/p>\n
\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nEdit ECharts di VPasCode<\/span>
\n<\/a>\n<\/div>\n
\n            
\r\n                                
\r\n                    ECharts<\/span>\r\n                    \r\n                        <\/path><\/path><\/svg>\r\n                        Edit ECharts in VPasCode<\/span>\r\n                    <\/a>\r\n                <\/div>\r\n                                
\r\n                    
option = {\r\n    tooltip: {\r\n        trigger: 'item',\r\n        axisPointer: { type: 'shadow' }\r\n    },\r\n    xAxis: {\r\n        type: 'value'\r\n    },\r\n    yAxis: {\r\n        type: 'category',\r\n        data: ['Server Alpha', 'Server Beta', 'Server Gamma']\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Latensi (ms)',\r\n            type: 'boxplot',\r\n            data: [\r\n                [12, 18, 22, 28, 35],\r\n                [15, 24, 30, 38, 48],\r\n                [8, 12, 15, 20, 27]\r\n            ],\r\n            itemStyle: {\r\n                color: '#e0f2fe',\r\n                borderColor: '#0284c7',\r\n                borderWidth: 2\r\n            }\r\n        }\r\n    ]\r\n};<\/code><\/pre>                <\/div>\r\n                
\r\n                    \r\n                        <\/path><\/path><\/svg>\r\n                        Edit ECharts in VPasCode<\/span>\r\n                    <\/a>\r\n                <\/div>\r\n            <\/div>\r\n            \n<\/p><\/div>\n
\n
\n<\/path><\/path><\/svg>
\nEdit ECharts di VPasCode<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
Penyesuaian Tata Letak dan Gaya<\/h2>\n
Warna kotak khusus, lebar garis kumuh, dan format garis median meningkatkan perbedaan visual di seluruh tata letak dasbor yang kompleks.<\/p>\n
1. Isi Kotak Khusus dan Gaya Pengecualian<\/h3>\n
Gaya batas kotak, warna isi, dan sifat garis kumuh agar sesuai dengan desain antarmuka Anda:<\/p>\n
\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nEdit ECharts di VPasCode<\/span>
\n<\/a>\n<\/div>\n
\n            
\r\n                                
\r\n                    ECharts<\/span>\r\n                    \r\n                        <\/path><\/path><\/svg>\r\n                        Edit ECharts in VPasCode<\/span>\r\n                    <\/a>\r\n                <\/div>\r\n                                
\r\n                    
option = {\r\n    grid: {\r\n        left: '10%',\r\n        right: '10%',\r\n        containLabel: true\r\n    },\r\n    xAxis: {\r\n        type: 'category',\r\n        data: ['Kelompok A', 'Kelompok B', 'Kelompok C']\r\n    },\r\n    yAxis: {\r\n        type: 'value'\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Distribusi Skor',\r\n            type: 'boxplot',\r\n            boxWidth: ['20%', '50%'], \/\/ Batas lebar kotak responsif\r\n            itemStyle: {\r\n                color: '#f0fdf4',\r\n                borderColor: '#16a34a',\r\n                borderWidth: 2\r\n            },\r\n            data: [\r\n                [40, 55, 68, 82, 95],\r\n                [50, 62, 75, 88, 98],\r\n                [30, 45, 58, 70, 85]\r\n            ]\r\n        }\r\n    ]\r\n};<\/code><\/pre>                <\/div>\r\n                
\r\n                    \r\n                        <\/path><\/path><\/svg>\r\n                        Edit ECharts in VPasCode<\/span>\r\n                    <\/a>\r\n                <\/div>\r\n            <\/div>\r\n            \n<\/p><\/div>\n
\n
\n<\/path><\/path><\/svg>
\nEdit ECharts di VPasCode<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
Praktik Terbaik Strategis<\/h2>\n
    \n
  • Periksa Kembali Urutan Ringkasan:<\/strong>Verifikasi bahwa nilai array mengikuti urutan ketat:[Minimum, Q1, Median, Q3, Maksimum]<\/code>. Pengurutan yang salah akan menyebabkan gangguan tampilan.<\/li>\n
  • Tumpang tindihkan Pengecualian dengan Seri Titik Sebar:<\/strong>Gunakan seri sekundertitik sebar<\/code> seri di atas kotak plot untuk menampilkan outlier statistik ekstrem sebagai titik data individu.<\/li>\n
  • Sesuaikan Padding Grid:<\/strong>Pastikan cukupgrid.bawah<\/code> atau grid.kiri<\/code> padding agar nama kategori panjang tidak bertabrakan dengan garis kumuh.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
    Ketika Anda perlu menganalisis penyebaran data dan mengidentifikasi titik data yang tidak biasa di berbagai kelompok, Grafik Boxplot (atau Grafik Kotak dan Sirip) adalah alat visual statistik standar. Dengan merangkum data kontinu menjadi lima angka kunci\u2014Nilai Minimum, Kuartil Pertama (Q1),…<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":14,"template":"","meta":{"inline_featured_image":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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Boxplot Chart Guide | VPasCode Text to Diagram Tool<\/title>\n<meta name=\"description\" content=\"Plot statistical quartile distributions and outliers with ECharts boxplot scripts in VPasCode, a diagram-as-code tool.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.vpascode.com\/id\/docs\/vpascode-docs\/boxplot-chart-statistical-distribution-and-outlier-spotting-guide\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ECharts Boxplot Chart Guide | VPasCode Text to Diagram Tool\" \/>\n<meta property=\"og:description\" content=\"Plot statistical quartile distributions and outliers with ECharts boxplot scripts in VPasCode, a diagram-as-code tool.\" \/>\n<meta property=\"og:url\" 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