{"id":2059,"date":"2026-07-27T02:16:13","date_gmt":"2026-07-27T02:16:13","guid":{"rendered":"https:\/\/www.vpascode.com\/id\/docs\/uncategorized\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\/"},"modified":"2026-07-27T02:16:13","modified_gmt":"2026-07-27T02:16:13","slug":"heatmap-chart-grid-based-density-and-pattern-mapping-guide","status":"publish","type":"ld_docs","link":"https:\/\/www.vpascode.com\/id\/docs\/vpascode-docs\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\/","title":{"rendered":"Grafik Peta Panas: Pemetaan Kerapatan dan Pola Berbasis Grid"},"content":{"rendered":"

Ketika menganalisis kerapatan aktivitas, tren berkelanjutan, atau korelasi di antara dua dimensi diskret, maka Grafik Peta Panas<\/strong> memberikan solusi visual yang kuat. Dengan memetakan nilai data ke skala warna dinamis di seluruh grid dua dimensi, peta panas memungkinkan pengguna untuk mengidentifikasi jam-jam penggunaan puncak, hambatan musiman, atau hubungan matriks<\/em> secara instan\u2014seperti beban server per jam dan hari dalam seminggu, log aktivitas pengguna, atau matriks korelasi lintas kategori.<\/p>\n

Mekanisme Peta Panas<\/h2>\n

Dalam Apache ECharts, peta panas menggunakan type: 'heatmap'<\/code> pada grid Kartesius dua dimensi. Setiap titik data mengharapkan array berisi 3 elemen yang diformat sebagai [indeksSumbuX, indeksSumbuY, nilai]<\/code>. Komponen yang diperlukan visualMap<\/code> memetakan nilai numerik ke gradien warna yang kontinu atau sebagian.<\/p>\n

1. Pengaturan Dasar<\/h3>\n

Untuk membuat grafik peta panas dasar, deklarasikan sumbu kategorikal untuk sumbu horizontal (xAxis<\/code>) dan vertikal (yAxis<\/code>) skala, lewatkan [indeksX, indeksY, nilai]<\/code> array ke dalam data seri Anda, dan konfigurasikan komponen visualMap<\/code> komponen:<\/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 
const jam = ['12am', '2am', '4am', '6am', '8am', '10am', '12pm', '2pm', '4pm', '6pm', '8pm', '10pm'];\r\nconst hari = ['Senin', 'Selasa', 'Rabu', 'Kamis', 'Jumat'];\r\n\r\n\/\/ Format data: [indeksX, indeksY, nilai]\r\nconst data = [\r\n    [0, 0, 5], [1, 0, 1], [2, 0, 0], [3, 0, 0], [4, 0, 12], [5, 0, 24], [6, 0, 38], [7, 0, 42], [8, 0, 35], [9, 0, 20], [10, 0, 10], [11, 0, 6],\r\n    [0, 1, 3], [1, 1, 0], [2, 1, 0], [3, 1, 1], [4, 1, 15], [5, 1, 28], [6, 1, 45], [7, 1, 50], [8, 1, 40], [9, 1, 22], [10, 1, 12], [11, 1, 4],\r\n    [0, 2, 2], [1, 2, 1], [2, 2, 0], [3, 2, 0], [4, 2, 11], [5, 2, 26], [6, 2, 41], [7, 2, 48], [8, 2, 38], [9, 2, 19], [10, 2, 8],  [11, 2, 3],\r\n    [0, 3, 4], [1, 3, 2], [2, 3, 0], [3, 3, 1], [4, 3, 14], [5, 3, 30], [6, 3, 49], [7, 3, 55], [8, 3, 42], [9, 3, 25], [10, 3, 15], [11, 3, 5],\r\n    [0, 4, 6], [1, 4, 3], [2, 4, 1], [3, 4, 2], [4, 4, 10], [5, 4, 20], [6, 4, 32], [7, 4, 36], [8, 4, 28], [9, 4, 18], [10, 4, 9],  [11, 4, 2]\r\n];\r\n\r\noption = {\r\n    tooltip: {\r\n        position: 'top'\r\n    },\r\n    grid: {\r\n        height: '50%',\r\n        top: '10%'\r\n    },\r\n    xAxis: {\r\n        type: 'category',\r\n        data: jam,\r\n        splitArea: { show: true }\r\n    },\r\n    yAxis: {\r\n        type: 'category',\r\n        data: hari,\r\n        splitArea: { show: true }\r\n    },\r\n    visualMap: {\r\n        min: 0,\r\n        max: 60,\r\n        calculable: true,\r\n        orient: 'horizontal',\r\n        left: 'center',\r\n        bottom: '15%'\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Beban Sistem',\r\n            type: 'heatmap',\r\n            data: data,\r\n            label: {\r\n                show: true\r\n            },\r\n            emphasis: {\r\n                itemStyle: {\r\n                    shadowBlur: 10,\r\n                    shadowColor: 'rgba(0, 0, 0, 0.5)'\r\n                }\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
Peta panas dapat disesuaikan dengan langkah warna diskret, jarak sel yang berbeda, atau digabungkan dengan koordinat kalender untuk melacak aktivitas selama satu tahun penuh.<\/p>\n
1. Pemetaan Warna Piecewise dan Jarak Sel Kustom<\/h3>\n
Alih-alih menggunakan gradien warna yang berkelanjutan, gunakan piecewisevisualMap<\/code> untuk mengelompokkan nilai ke dalam band operasional yang berbeda (misalnya, Rendah, Sedang, Tinggi):<\/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: { position: 'top' },\r\n    xAxis: {\r\n        type: 'category',\r\n        data: ['Q1', 'Q2', 'Q3', 'Q4']\r\n    },\r\n    yAxis: {\r\n        type: 'category',\r\n        data: ['Product A', 'Product B', 'Product C']\r\n    },\r\n    visualMap: {\r\n        type: 'piecewise',\r\n        min: 0,\r\n        max: 100,\r\n        left: 'center',\r\n        bottom: '5%',\r\n        orient: 'horizontal',\r\n        pieces: [\r\n            { min: 80, label: 'Kinerja Tinggi', color: '#16a34a' },\r\n            { min: 40, max: 79, label: 'Sedang', color: '#f59e0b' },\r\n            { max: 39, label: 'Perlu Perhatian', color: '#dc2626' }\r\n        ]\r\n    },\r\n    series: [\r\n        {\r\n            type: 'heatmap',\r\n            data: [\r\n                [0, 0, 85], [1, 0, 92], [2, 0, 78], [3, 0, 88],\r\n                [0, 1, 45], [1, 1, 55], [2, 1, 62], [3, 1, 35],\r\n                [0, 2, 25], [1, 2, 30], [2, 2, 18], [3, 2, 42]\r\n            ],\r\n            label: { show: true },\r\n            itemStyle: {\r\n                borderColor: '#ffffff',\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 Halus Tata Letak dan Gradien Warna<\/h2>\n
Memilih titik warna yang mudah dibaca dan mengaktifkan area pemisah membuat grid matriks besar menjadi mudah untuk dipindai.<\/p>\n
1. Kustomisasi Gradien dan Penyelarasan Label<\/h3>\n
Konfigurasikan rampa warna multi-titik kustom divisualMap.inRange<\/code> untuk sesuai dengan tema platform 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: { containLabel: true },\r\n    xAxis: {\r\n        type: 'category',\r\n        data: ['Node 1', 'Node 2', 'Node 3', 'Node 4']\r\n    },\r\n    yAxis: {\r\n        type: 'category',\r\n        data: ['Service X', 'Service Y', 'Service Z']\r\n    },\r\n    visualMap: {\r\n        min: 0,\r\n        max: 100,\r\n        calculable: true,\r\n        orient: 'horizontal',\r\n        left: 'center',\r\n        bottom: '0%',\r\n        inRange: {\r\n            color: ['#f0f9ff', '#0284c7', '#0f172a'] \/\/ Gradien biru lembut ke batu arang gelap\r\n        }\r\n    },\r\n    series: [\r\n        {\r\n            type: 'heatmap',\r\n            data: [\r\n                [0, 0, 12], [1, 0, 45], [2, 0, 78], [3, 0, 95],\r\n                [0, 1, 34], [1, 1, 67], [2, 1, 89], [3, 1, 23],\r\n                [0, 2, 56], [1, 2, 78], [2, 2, 12], [3, 2, 88]\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
  • Selalu SertakanvisualMap<\/code>:<\/strong>Heatmap tanpa legenda visual memaksa pengguna menebak arti warna. Selalu letakkan visualMap yang berkelanjutan atau piecewisevisualMap<\/code> dengan jelas di dekat tepi kanvas.<\/li>\n
  • Gunakan Batas Grid untuk Pemisahan:<\/strong>Terapkan batas putih tipis menggunakanitemStyle.borderColor: '#fff'<\/code> danborderWidth: 1<\/code> atau 2<\/code> untuk menjaga agar setiap sel tetap terlihat berbeda secara visual dalam matriks yang padat.<\/li>\n
  • Pastikan Teks Berkontras Tinggi:<\/strong> Jika label numerik sel aktif (label.show: true<\/code>), uji agar warna teks tetap dapat dibaca terhadap langkah terang dan gelap dalam gradien warna Anda.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
    Ketika menganalisis kerapatan aktivitas, tren berkelanjutan, atau korelasi di antara dua dimensi diskret, maka Grafik Peta Panas memberikan solusi visual yang kuat. Dengan memetakan nilai data ke skala warna dinamis di seluruh grid dua dimensi, peta panas memungkinkan pengguna untuk…<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":15,"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 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Heatmap Guide | VPasCode Text to Diagram Tool<\/title>\n<meta name=\"description\" content=\"Render matrix activity grids and density maps using ECharts heatmap 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\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ECharts Heatmap Guide | VPasCode Text to Diagram Tool\" \/>\n<meta property=\"og:description\" content=\"Render matrix activity grids and density maps using ECharts heatmap scripts in VPasCode, a diagram-as-code tool.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.vpascode.com\/id\/docs\/vpascode-docs\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\/\" 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