{"id":2062,"date":"2026-07-27T02:10:31","date_gmt":"2026-07-27T02:10:31","guid":{"rendered":"https:\/\/www.vpascode.com\/es\/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\/es\/docs\/vpascode-docs\/boxplot-chart-statistical-distribution-and-outlier-spotting-guide\/","title":{"rendered":"Gr\u00e1fico de caja: Distribuci\u00f3n estad\u00edstica y detecci\u00f3n de valores at\u00edpicos"},"content":{"rendered":"

Cuando necesitas analizar la dispersi\u00f3n de datos e identificar puntos de datos inusuales entre grupos, la Gr\u00e1fico de caja<\/strong> (o gr\u00e1fico de caja y bigotes) es la herramienta visual estad\u00edstica est\u00e1ndar. Al resumir datos continuos en cinco n\u00fameros clave\u2014m\u00ednimo, primer cuartil (Q1), mediana (Q2), tercer cuartil (Q3) y m\u00e1ximo\u2014los gr\u00e1ficos de caja revelan asimetr\u00eda, variabilidad y valores at\u00edpicos extremos<\/em> de un vistazo sin saturar la pantalla con datos brutos.<\/p>\n

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

En Apache ECharts, las cajas estad\u00edsticas se representan utilizando type: 'boxplot'<\/code>. Cada entrada de conjunto de datos espera un arreglo num\u00e9rico de 5 elementos ordenado como [M\u00ednimo, Q1, Mediana, Q3, M\u00e1ximo]<\/code>. ECharts tambi\u00e9n incluye una herramienta integrada de preparaci\u00f3n de datos para calcular estos l\u00edmites estad\u00edsticos directamente a partir de n\u00fameros brutos.<\/p>\n

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

Para construir un gr\u00e1fico de caja b\u00e1sico, asigna categor\u00edas a lo largo del eje X y proporciona arreglos de resumen de cinco n\u00fameros calculados dentro de tus datos de serie:<\/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        axisPointer: { type: 'shadow' }\r\n    },\r\n    xAxis: {\r\n        type: 'category',\r\n        data: ['Categor\u00eda 1', 'Categor\u00eda 2', 'Categor\u00eda 3', 'Categor\u00eda 4', 'Categor\u00eda 5']\r\n    },\r\n    yAxis: {\r\n        type: 'value',\r\n        name: 'Valor de distribuci\u00f3n'\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Gr\u00e1fico de caja',\r\n            type: 'boxplot',\r\n            data: [\r\n                [655, 850, 940, 980, 1070], \/\/ [M\u00edn, Q1, Mediana, Q3, M\u00e1x]\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>
\nEditar ECharts en VPasCode<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
T\u00e9cnicas estructurales avanzadas<\/h2>\n
Puedes superponer puntos de dispersi\u00f3n de valores at\u00edpicos o crear gr\u00e1ficos de caja horizontales para categor\u00edas con nombres largos.<\/p>\n
1. Dise\u00f1o de gr\u00e1fico de caja horizontal<\/h3>\n
Establece yAxis<\/code> como escala de categor\u00edas y xAxis<\/code> como escala de valores num\u00e9ricos para voltear los gr\u00e1ficos de caja horizontalmente para una mejor legibilidad de las etiquetas:<\/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        axisPointer: { type: 'shadow' }\r\n    },\r\n    xAxis: {\r\n        type: 'value'\r\n    },\r\n    yAxis: {\r\n        type: 'category',\r\n        data: ['Servidor Alpha', 'Servidor Beta', 'Servidor Gamma']\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Latencia (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>
\nEditar ECharts en VPasCode<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
Ajuste fino de dise\u00f1o y estilo<\/h2>\n
Los colores personalizados de los cuadros, el ancho de las l\u00edneas de bigotes y el formato de la l\u00ednea de la mediana mejoran la distinci\u00f3n visual en dise\u00f1os complejos de paneles.<\/p>\n
1. Relleno personalizado de cuadros y estilo de valores at\u00edpicos<\/h3>\n
Estile los bordes de los cuadros, los colores de relleno y las propiedades de las l\u00edneas de bigotes para que coincidan con el dise\u00f1o de tu interfaz:<\/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: 'category',\r\n        data: ['Grupo A', 'Grupo B', 'Grupo C']\r\n    },\r\n    yAxis: {\r\n        type: 'value'\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Distribuci\u00f3n de puntuaciones',\r\n            type: 'boxplot',\r\n            boxWidth: ['20%', '50%'], \/\/ L\u00edmites de ancho de cuadro responsivo\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>
\nEditar ECharts en VPasCode<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
Mejores pr\u00e1cticas estrat\u00e9gicas<\/h2>\n
    \n
  • Verifique el orden de los res\u00famenes:<\/strong>Verifique que los valores del arreglo sigan el orden estricto:[M\u00ednimo, Q1, Mediana, Q3, M\u00e1ximo]<\/code>. Un orden incorrecto provocar\u00e1 errores de renderizado.<\/li>\n
  • Superponer valores at\u00edpicos con una serie de dispersi\u00f3n:<\/strong>Utilice una serie secundariadispersi\u00f3n<\/code> en la parte superior del diagrama de caja para mostrar valores at\u00edpicos estad\u00edsticos extremos como puntos de datos individuales.<\/li>\n
  • Ajuste el relleno de la cuadr\u00edcula:<\/strong>Aseg\u00farese de que haya un relleno adecuado engrid.bottom<\/code>ogrid.left<\/code> para que los nombres largos de categor\u00edas no choquen con las l\u00edneas de bigotes.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
    Cuando necesitas analizar la dispersi\u00f3n de datos e identificar puntos de datos inusuales entre grupos, la Gr\u00e1fico de caja (o gr\u00e1fico de caja y bigotes) es la herramienta visual estad\u00edstica est\u00e1ndar. Al resumir datos continuos en cinco n\u00fameros clave\u2014m\u00ednimo, primer…<\/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\/es\/docs\/vpascode-docs\/boxplot-chart-statistical-distribution-and-outlier-spotting-guide\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\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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