{"id":2063,"date":"2026-07-27T02:00:51","date_gmt":"2026-07-27T02:00:51","guid":{"rendered":"https:\/\/www.vpascode.com\/id\/docs\/uncategorized\/scatter-chart-bivariate-distribution-and-point-clustering-guide\/"},"modified":"2026-07-27T02:00:51","modified_gmt":"2026-07-27T02:00:51","slug":"scatter-chart-bivariate-distribution-and-point-clustering-guide","status":"publish","type":"ld_docs","link":"https:\/\/www.vpascode.com\/id\/docs\/vpascode-docs\/scatter-chart-bivariate-distribution-and-point-clustering-guide\/","title":{"rendered":"Grafik Sebaran: Distribusi Bivariat dan Pengelompokan Titik"},"content":{"rendered":"

Ketika mengeksplorasi hubungan atau korelasi antara dua variabel kontinu, Grafik Sebaran<\/strong> (atau Grafik Sebaran) adalah alat analitik utama. Dengan memplot titik data di atas kisi dua dimensi berdasarkan koordinat numerik X dan Y, grafik sebaran membantu mengungkapkan kelompok, pencilan, tren, dan korelasi<\/em> di seluruh dataset yang kompleks, seperti pengeluaran pemasaran dibandingkan generasi prospek atau pengalaman karyawan dibandingkan gaji.<\/p>\n

Mekanisme Grafik Sebaran<\/h2>\n

Berbeda dengan grafik batang atau garis yang didorong kategori, grafik sebaran menggunakan sumbu nilai numerik untuk kedua dimensi. Dalam Apache ECharts, mengatur type: 'scatter'<\/code>mengharapkan data yang diformat sebagai array koordinat numerik dua elemen [x, y]<\/code> atau objek data yang dipetakan melalui xAxis<\/code> dan yAxis<\/code> konfigurasi.<\/p>\n

1. Pengaturan Dasar<\/h3>\n

Untuk membuat grafik sebaran dasar, tentukan type: 'value'<\/code> pada kedua sumbu dan berikan pasangan koordinat numerik dalam array 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        formatter: 'X: {c0}\r\nY: {c1}'\r\n    },\r\n    xAxis: {\r\n        type: 'value',\r\n        name: 'Pengeluaran Iklan ($k)'\r\n    },\r\n    yAxis: {\r\n        type: 'value',\r\n        name: 'Konversi'\r\n    },\r\n    series: [\r\n        {\r\n            type: 'scatter',\r\n            symbolSize: 12,\r\n            data: [\r\n                [10.0, 8.04],\r\n                [8.07, 6.95],\r\n                [13.0, 7.58],\r\n                [9.05, 8.81],\r\n                [11.0, 8.33],\r\n                [14.0, 9.96],\r\n                [6.03, 7.24],\r\n                [12.0, 4.26],\r\n                [7.08, 4.82],\r\n                [5.02, 5.68]\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
Grafik sebaran dapat mengintegrasikan ukuran dinamis untuk mewakili variabel ketiga (grafik gelembung) atau menampilkan overlay kelompok multi-kategori.<\/p>\n
1. Ukuran Titik Variabel (Efek Gelembung)<\/h3>\n
Kirimkan fungsi kustom atau pemetaan nilai data ke symbolSize<\/code>untuk mengkodekan metrik kuantitatif ketiga ke dalam ukuran titik:<\/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        formatter: function (param) {\r\n            return 'Pengeluaran: $' + param.data[0] + 'krn' +\r\n                   'Pendapatan: $' + param.data[1] + 'krn' +\r\n                   'ROAS: ' + param.data[2] + 'x';\r\n        }\r\n    },\r\n    xAxis: {\r\n        type: 'value',\r\n        name: 'Pengeluaran'\r\n    },\r\n    yAxis: {\r\n        type: 'value',\r\n        name: 'Pendapatan'\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Kampanye',\r\n            type: 'scatter',\r\n            symbolSize: function (data) {\r\n                return data[2] * 5; \/\/ Skala ukuran gelembung berdasarkan variabel ketiga\r\n            },\r\n            data: [\r\n                [15, 120, 8.0],\r\n                [25, 180, 7.2],\r\n                [10, 50, 5.0],\r\n                [40, 380, 9.5],\r\n                [30, 210, 7.0]\r\n            ],\r\n            itemStyle: {\r\n                color: '#5470c6',\r\n                opacity: 0.7\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 Gaya<\/h2>\n
Mengendalikan transparansi penanda dan menambahkan garis tren target mencegah kelompok padat berubah menjadi benda visual padat.<\/p>\n
1. Penanda Transparan dan Gaya Kelompok<\/h3>\n
Menerapkan garis tepi dan isian item setengah transparan menjaga titik data yang tumpang tindih tetap terlihat dalam kelompok padat:<\/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: 'value',\r\n        scale: true \/\/ Skala otomatis sumbu min\/maks agar sesuai dengan data dengan rapat\r\n    },\r\n    yAxis: {\r\n        type: 'value',\r\n        scale: true\r\n    },\r\n    series: [\r\n        {\r\n            type: 'scatter',\r\n            symbolSize: 16,\r\n            itemStyle: {\r\n                color: 'rgba(84, 112, 198, 0.6)',\r\n                borderColor: '#5470c6',\r\n                borderWidth: 2\r\n            },\r\n            data: [\r\n                [161.2, 51.6], [167.5, 59.0], [159.5, 49.2], [157.0, 63.0],\r\n                [155.8, 53.6], [170.0, 59.0], [159.1, 47.6], [166.0, 69.8],\r\n                [176.2, 66.8], [160.2, 75.2], [172.5, 55.2], [170.9, 54.2]\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
Praktik Terbaik Strategis<\/h2>\n
    \n
  • Aktifkan scale: true<\/code> pada Sumbu Numerik:<\/strong> Atur scale: true<\/code> pada kedua sumbu numerik agar plot melakukan zoom otomatis ke rentang data yang relevan, bukan memaksa titik asal di (0,0)<\/code>.<\/li>\n
  • Gunakan Transparansi Isian untuk Tumpang Tindih:<\/strong> Saat memplot ratusan titik, kurangi transparansi isian menjadi sekitar 0,4\u20130,6 agar zona tumpang tindih yang padat tampak lebih gelap secara alami.<\/li>\n
  • Berikan Label Sumbu Kontekstual:<\/strong> Selalu beri label sumbu X dan Y secara eksplisit dengan satuan pengukuran (misalnya, \u201c$ dalam Ribu\u201d atau \u201cLatensi dalam ms\u201d) agar nilai menjadi jelas segera tanpa harus memeriksa tooltip.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
    Ketika mengeksplorasi hubungan atau korelasi antara dua variabel kontinu, Grafik Sebaran (atau Grafik Sebaran) adalah alat analitik utama. Dengan memplot titik data di atas kisi dua dimensi berdasarkan koordinat numerik X dan Y, grafik sebaran membantu mengungkapkan kelompok, pencilan, tren,…<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":11,"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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Scatter Chart Guide | VPasCode Text to Diagram Tool<\/title>\n<meta name=\"description\" content=\"Analyze correlation trends between data variables using ECharts scatter plots 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\/scatter-chart-bivariate-distribution-and-point-clustering-guide\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ECharts Scatter Chart Guide | VPasCode Text to Diagram Tool\" \/>\n<meta property=\"og:description\" content=\"Analyze correlation trends between data variables using ECharts scatter plots in VPasCode, a diagram-as-code tool.\" \/>\n<meta property=\"og:url\" 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