{"id":2057,"date":"2026-07-27T02:28:09","date_gmt":"2026-07-27T02:28:09","guid":{"rendered":"https:\/\/www.vpascode.com\/es\/docs\/uncategorized\/parallel-chart-multi-dimensional-data-analysis-guide\/"},"modified":"2026-07-27T02:28:09","modified_gmt":"2026-07-27T02:28:09","slug":"parallel-chart-multi-dimensional-data-analysis-guide","status":"publish","type":"ld_docs","link":"https:\/\/www.vpascode.com\/es\/docs\/vpascode-docs\/parallel-chart-multi-dimensional-data-analysis-guide\/","title":{"rendered":"Gr\u00e1fico paralelo: an\u00e1lisis de datos multidimensionales"},"content":{"rendered":"

Cuando se comparan puntos de datos multivariados a lo largo de muchas dimensiones num\u00e9ricas o categ\u00f3ricas simult\u00e1neamente, el Gr\u00e1fico de coordenadas paralelas<\/strong> es una herramienta visual esencial. En lugar de mapear coordenadas a ejes horizontales y verticales perpendiculares, los gr\u00e1ficos paralelos colocan todas las dimensiones lado a lado como l\u00edneas paralelas. Las entradas de datos individuales se representan como caminos de polil\u00ednea continua que intersectan cada eje, lo que facilita identificar cl\u00fasteres de m\u00faltiples atributos, compromisos, correlaciones y valores at\u00edpicos<\/em>\u2014por ejemplo, comparar modelos de autom\u00f3viles seg\u00fan potencia, peso, eficiencia de combustible, precio y calificaci\u00f3n de seguridad.<\/p>\n

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

En Apache ECharts, los gr\u00e1ficos de coordenadas paralelas dependen de un bloque de configuraci\u00f3n dedicado parallelAxis<\/code> que define cada escala paralela (su \u00edndice de eje, nombre de dimensi\u00f3n y tipo de datos). La serie del gr\u00e1fico establece type: 'parallel'<\/code> y asigna filas de arreglos de valores de m\u00faltiples elementos a cada \u00edndice de eje correspondiente.<\/p>\n

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

Para construir un gr\u00e1fico paralelo b\u00e1sico, defina sus dimensiones en el arreglo parallelAxis<\/code> y pase los arreglos de coordenadas correspondientes dentro de la serie data<\/code>:<\/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    parallelAxis: [\r\n        { dim: 0, name: 'Precio ($)' },\r\n        { dim: 1, name: 'Calificaci\u00f3n' },\r\n        { dim: 2, name: 'Peso (kg)' },\r\n        { dim: 3, name: 'Potencia (HP)' }\r\n    ],\r\n    series: [\r\n        {\r\n            type: 'parallel',\r\n            lineStyle: {\r\n                width: 2\r\n            },\r\n            data: [\r\n                [1299, 4.5, 1.2, 120],\r\n                [899, 4.0, 1.5, 95],\r\n                [1599, 4.8, 1.1, 150],\r\n                [499, 3.5, 2.0, 80],\r\n                [2100, 4.9, 0.9, 180]\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 paralelos pueden combinarse con gradientes de color visuales o escalas categ\u00f3ricas mixtas para evaluar compromisos complejos entre categor\u00edas de productos distintas.<\/p>\n
1. Gradientes de color del mapa visual a lo largo de dimensiones<\/h3>\n
Asocie un visualMap<\/code>componente con una dimensi\u00f3n clave del eje (por ejemplo, mapear el color de la l\u00ednea a las calificaciones de rendimiento) para resaltar instant\u00e1neamente a los mejores desempe\u00f1adores en todos los ejes paralelos:<\/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    axisParalela: [\r\n        { dim: 0, nombre: 'N\u00facleos de CPU' },\r\n        { dim: 1, nombre: 'RAM (GB)' },\r\n        { dim: 2, nombre: 'Almacenamiento (TB)' },\r\n        { dim: 3, nombre: 'Costo mensual ($)', min: 0, max: 200 }\r\n    ],\r\n    mapaVisual: {\r\n        mostrar: true,\r\n        tipo: 'continuo',\r\n        min: 0,\r\n        max: 200,\r\n        dimension: 3, \/\/ Color de las rutas de l\u00ednea seg\u00fan el \u00edndice de dimensi\u00f3n 3 (Costo mensual)\r\n        enRango: {\r\n            color: ['#91cc75', '#fac858', '#ee6666'] \/\/ Verde (costo bajo) a Rojo (costo alto)\r\n        },\r\n        orientacion: 'horizontal',\r\n        arriba: '2%',\r\n        izquierda: 'centro'\r\n    },\r\n    paralelo: {\r\n        arriba: '18%',\r\n        abajo: '10%'\r\n    },\r\n    series: [\r\n        {\r\n            tipo: 'paralelo',\r\n            estiloLinea: {\r\n                ancho: 3,\r\n                opacidad: 0.8\r\n            },\r\n            datos: [\r\n                [4, 8, 0.5, 25],\r\n                [8, 16, 1.0, 50],\r\n                [16, 32, 2.0, 110],\r\n                [32, 64, 4.0, 185],\r\n                [12, 24, 1.5, 80]\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 filtrado interactivo<\/h2>\n
Agregar curvas suaves y opacidad en las l\u00edneas evita que los hilos de datos densos y entrecruzados sobrecarguen la interfaz de usuario.<\/p>\n
1. Rutas de curvas suaves y hilos de baja opacidad<\/h3>\n
Establecer suave: verdadero<\/code>y reducir la opacidad de la l\u00ednea para que las superposiciones y agrupaciones de datos de alta densidad sean visibles de forma natural:<\/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    axisParalela: [\r\n        { dim: 0, nombre: 'Puntuaci\u00f3n A' },\r\n        { dim: 1, nombre: 'Puntuaci\u00f3n B' },\r\n        { dim: 2, nombre: 'Puntuaci\u00f3n C' },\r\n        { dim: 3, nombre: 'Puntuaci\u00f3n D' },\r\n        { dim: 4, nombre: 'Puntuaci\u00f3n E' }\r\n    ],\r\n    paralelo: {\r\n        izquierda: '10%',\r\n        derecha: '10%',\r\n        abajo: '12%',\r\n        arriba: '12%'\r\n    },\r\n    series: [\r\n        {\r\n            tipo: 'paralelo',\r\n            suave: true, \/\/ Curvas en las rutas de l\u00ednea para una visualizaci\u00f3n m\u00e1s limpia\r\n            estiloLinea: {\r\n                color: '#5470c6',\r\n                ancho: 2,\r\n                opacidad: 0.45\r\n            },\r\n            datos: [\r\n                [85, 92, 78, 90, 88],\r\n                [70, 65, 80, 72, 75],\r\n                [95, 88, 92, 96, 94],\r\n                [60, 75, 68, 62, 70],\r\n                [88, 90, 85, 89, 91],\r\n                [78, 82, 74, 80, 83]\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
  • Organiza los ejes con cuidado:<\/strong>Coloca m\u00e9tricas fuertemente correlacionadas o directamente comparables en ejes adyacentes para que las relaciones y tendencias de cruce sean m\u00e1s f\u00e1ciles de identificar.<\/li>\n
  • Usa baja opacidad para vol\u00famenes altos de datos:<\/strong>Cuando se trazan decenas o cientos de l\u00edneas, reduce opacidadEstiloLinea<\/code> a 0.2<\/code>\u20130.5<\/code>para que las tendencias superpuestas creen bandas m\u00e1s oscuras y de alta densidad de forma natural.<\/li>\n
  • Habilita suave: verdadero<\/code>para conjuntos de datos complejos:<\/strong>Aplicar una curvatura sutil a las rutas de las l\u00edneas reduce los \u00e1ngulos visuales agudos cuando los hilos cruzan m\u00faltiples ejes paralelos de forma r\u00e1pida sucesiva.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
    Cuando se comparan puntos de datos multivariados a lo largo de muchas dimensiones num\u00e9ricas o categ\u00f3ricas simult\u00e1neamente, el Gr\u00e1fico de coordenadas paralelas es una herramienta visual esencial. En lugar de mapear coordenadas a ejes horizontales y verticales perpendiculares, los gr\u00e1ficos…<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":19,"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 center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","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":"var(--ast-global-color-4)","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":""}}},"ld_collection":[14],"class_list":["post-2057","ld_docs","type-ld_docs","status-publish","hentry","ld_collection-vpascode-docs"],"yoast_head":"\nECharts Parallel Chart Guide | VPasCode Text to Diagram Guide<\/title>\n<meta name=\"description\" content=\"Plot multi-dimensional feature comparison charts with ECharts parallel coordinates in VPasCode, a text to diagram 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\/parallel-chart-multi-dimensional-data-analysis-guide\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ECharts Parallel Chart Guide | VPasCode Text to Diagram Guide\" \/>\n<meta property=\"og:description\" content=\"Plot multi-dimensional feature comparison charts with ECharts parallel coordinates in VPasCode, a text to diagram tool.\" \/>\n<meta property=\"og:url\" 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