{"id":2065,"date":"2026-07-27T02:00:51","date_gmt":"2026-07-27T02:00:51","guid":{"rendered":"https:\/\/www.vpascode.com\/es\/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\/es\/docs\/vpascode-docs\/scatter-chart-bivariate-distribution-and-point-clustering-guide\/","title":{"rendered":"Gr\u00e1fico de dispersi\u00f3n: distribuci\u00f3n bivariada y agrupamiento de puntos"},"content":{"rendered":"

Al explorar relaciones o correlaciones entre dos variables continuas, el Gr\u00e1fico de dispersi\u00f3n<\/strong> (o gr\u00e1fico de dispersi\u00f3n) es la herramienta anal\u00edtica principal. Al trazar puntos de datos en una cuadr\u00edcula bidimensional basada en coordenadas num\u00e9ricas X e Y, los gr\u00e1ficos de dispersi\u00f3n ayudan a revelar agrupamientos, valores at\u00edpicos, tendencias y correlaciones<\/em> en conjuntos de datos complejos, como el gasto en marketing frente a la generaci\u00f3n de leads o la experiencia del empleado frente al salario.<\/p>\n

La mec\u00e1nica de los gr\u00e1ficos de dispersi\u00f3n<\/h2>\n

A diferencia de los gr\u00e1ficos de columnas o l\u00edneas impulsados por categor\u00edas, los gr\u00e1ficos de dispersi\u00f3n utilizan ejes de valores num\u00e9ricos para ambas dimensiones. En Apache ECharts, establecer type: 'scatter'<\/code> espera datos formateados como arreglos de coordenadas num\u00e9ricas de dos elementos [x, y]<\/code> o objetos de datos mapeados a trav\u00e9s de xAxis<\/code> y yAxis<\/code> configuraciones.<\/p>\n

1. Configuraci\u00f3n esencial<\/h3>\n

Para crear un gr\u00e1fico de dispersi\u00f3n b\u00e1sico, define type: 'value'<\/code> en ambos ejes y proporciona pares de coordenadas num\u00e9ricas dentro de tu arreglo de datos de series:<\/p>\n

\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nEditar ECharts en 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}rnY: {c1}'\r\n    },\r\n    xAxis: {\r\n        type: 'value',\r\n        name: 'Gasto en publicidad ($k)'\r\n    },\r\n    yAxis: {\r\n        type: 'value',\r\n        name: 'Conversiones'\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>
\nEditar ECharts en VPasCode<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
T\u00e9cnicas estructurales avanzadas<\/h2>\n
Los gr\u00e1ficos de dispersi\u00f3n pueden incorporar un tama\u00f1o din\u00e1mico para representar una tercera variable (gr\u00e1fico de burbujas) o mostrar superposiciones de agrupamientos de m\u00faltiples categor\u00edas.<\/p>\n
1. Tama\u00f1o variable de puntos (efecto de burbuja)<\/h3>\n
Pasa una funci\u00f3n personalizada o un mapeo de valores de datos a symbolSize<\/code> para codificar una tercera m\u00e9trica cuantitativa en el tama\u00f1o del punto:<\/p>\n
\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nEditar ECharts en 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 'Gasto: $' + param.data[0] + 'k\r\n' +\r\n                   'Ingresos: $' + param.data[1] + 'k\r\n' +\r\n                   'ROAS: ' + param.data[2] + 'x';\r\n        }\r\n    },\r\n    xAxis: {\r\n        type: 'value',\r\n        name: 'Gasto'\r\n    },\r\n    yAxis: {\r\n        type: 'value',\r\n        name: 'Ingresos'\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Campa\u00f1as',\r\n            type: 'scatter',\r\n            symbolSize: function (data) {\r\n                return data[2] * 5; \/\/ Escalar el tama\u00f1o de la burbuja seg\u00fan la tercera variable\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>
\nEditar ECharts en VPasCode<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
Ajuste fino del dise\u00f1o y estilo<\/h2>\n
Controlar la opacidad de los marcadores y agregar l\u00edneas de tendencia objetivo evita que los grupos densos se conviertan en manchas visuales s\u00f3lidas.<\/p>\n
1. Marcadores transl\u00facidos y estilo de agrupaci\u00f3n<\/h3>\n
Aplicar trazos de borde y rellenos semitransparentes mantiene visibles los puntos de datos superpuestos dentro de los grupos de alta densidad:<\/p>\n
\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nEditar ECharts en 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 \/\/ Escalar autom\u00e1ticamente los l\u00edmites del eje para ajustarlos al rango de datos\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>
\nEditar ECharts en VPasCode<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
Pr\u00e1cticas recomendadas estrat\u00e9gicas<\/h2>\n
    \n
  • Habilite scale: true<\/code> en los ejes num\u00e9ricos:<\/strong> Establezca scale: true<\/code> en ambos ejes num\u00e9ricos para que el gr\u00e1fico se ajuste autom\u00e1ticamente al rango de datos relevante en lugar de forzar el origen en (0,0)<\/code>.<\/li>\n
  • Use la transparencia de relleno para superposiciones:<\/strong> Al trazar cientos de puntos, reduzca la opacidad del relleno a aproximadamente 0.4\u20130.6 para que las zonas de superposici\u00f3n densa aparezcan naturalmente m\u00e1s oscuras.<\/li>\n
  • Proporcione etiquetas de eje contextuales:<\/strong> Etiquete siempre los ejes X e Y expl\u00edcitamente con unidades de medida (por ejemplo, \u00ab$ en miles\u00bb o \u00abLatencia en ms\u00bb) para que los valores sean inmediatamente claros sin necesidad de revisar las sugerencias.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
    Al explorar relaciones o correlaciones entre dos variables continuas, el Gr\u00e1fico de dispersi\u00f3n (o gr\u00e1fico de dispersi\u00f3n) es la herramienta anal\u00edtica principal. Al trazar puntos de datos en una cuadr\u00edcula bidimensional basada en coordenadas num\u00e9ricas X e Y, los gr\u00e1ficos…<\/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\/es\/docs\/vpascode-docs\/scatter-chart-bivariate-distribution-and-point-clustering-guide\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\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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