{"id":1336,"date":"2026-07-27T02:10:31","date_gmt":"2026-07-27T02:10:31","guid":{"rendered":"https:\/\/www.vpascode.com\/es\/docs\/uncategorized\/echarts-playbook\/boxplot-chart-statistical-distribution-and-outlier-spotting\/"},"modified":"2026-07-29T08:50:28","modified_gmt":"2026-07-29T08:50:28","slug":"boxplot-chart-statistical-distribution-and-outlier-spotting-guide","status":"publish","type":"ld_docs","link":"https:\/\/www.vpascode.com\/es\/docs\/vpascode-docs\/echarts-playbook\/boxplot-chart-statistical-distribution-and-outlier-spotting-guide\/","title":{"rendered":"Boxplot Chart: Statistical Distribution and Outlier Spotting"},"content":{"rendered":"

When you need to analyze data dispersion and identify unusual data points across groups, the Boxplot Chart<\/strong> (or Box-and-Whisker Plot) is the standard statistical visual tool. By summarizing continuous data into five key numbers\u2014Minimum, First Quartile (Q1), Median (Q2), Third Quartile (Q3), and Maximum\u2014boxplot charts reveal skewness, variability, and extreme outliers<\/em> at a glance without cluttering the screen with raw data.<\/p>\n

The Mechanics of Boxplot Charts<\/h2>\n

In Apache ECharts, statistical boxes are rendered using type: 'boxplot'<\/code>. Each dataset entry expects a 5-element numerical array ordered as [Minimum, Q1, Median, Q3, Maximum]<\/code>. ECharts also includes a built-in data preparation tool to compute these statistical boundaries directly from raw numbers.<\/p>\n

1. Essential Setup<\/h3>\n

To construct a basic boxplot, map categories along the X-axis and supply calculated 5-number summary arrays inside your series data:<\/p>\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: ['Category 1', 'Category 2', 'Category 3', 'Category 4', 'Category 5']\r\n    },\r\n    yAxis: {\r\n        type: 'value',\r\n        name: 'Distribution Value'\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Boxplot',\r\n            type: 'boxplot',\r\n            data: [\r\n                [655, 850, 940, 980, 1070], \/\/ [Min, Q1, Median, Q3, Max]\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>\n
 <\/p>\n
Advanced Structural Techniques<\/h2>\n
You can overlay outlier scatter points or build horizontal boxplots for categories with lengthy names.<\/p>\n
1. Horizontal Boxplot Layout<\/h3>\n
Set yAxis<\/code> as the category scale and xAxis<\/code> as the numerical value scale to flip boxplots horizontally for better label readability:<\/p>\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: ['Server Alpha', 'Server Beta', 'Server Gamma']\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Latency (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>\n
 <\/p>\n
Fine-Tuning Layout and Styling<\/h2>\n
Custom box colors, whisker widths, and median line formatting improve visual distinction across complex dashboard layouts.<\/p>\n
1. Custom Box Fill and Outlier Styling<\/h3>\n
Style box borders, fill colors, and whisker line properties to match your interface design:<\/p>\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: ['Group A', 'Group B', 'Group C']\r\n    },\r\n    yAxis: {\r\n        type: 'value'\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Score Distribution',\r\n            type: 'boxplot',\r\n            boxWidth: ['20%', '50%'], \/\/ Responsive box width boundaries\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>\n
 <\/p>\n
Strategic Best Practices<\/h2>\n
    \n
  • Double-Check Summary Order:<\/strong> Verify that array values follow the strict sequence: [Minimum, Q1, Median, Q3, Maximum]<\/code>. Incorrect ordering will cause rendering glitches.<\/li>\n
  • Overlay Outliers with Scatter Series:<\/strong> Use a secondary scatter<\/code> series on top of the boxplot to display extreme statistical outliers as individual data points.<\/li>\n
  • Adjust Grid Padding:<\/strong> Ensure adequate grid.bottom<\/code> or grid.left<\/code> padding so long category names don’t clash with whisker lines.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
    When you need to analyze data dispersion and identify unusual data points across groups, the Boxplot Chart (or Box-and-Whisker Plot) is the standard statistical visual tool. By summarizing continuous data into five key numbers\u2014Minimum, First Quartile (Q1), Median (Q2), Third…<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":1254,"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 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-1336","ld_docs","type-ld_docs","status-publish","hentry","ld_collection-vpascode-docs"],"yoast_head":"\nECharts 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\/echarts-playbook\/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\" content=\"https:\/\/www.vpascode.com\/es\/docs\/vpascode-docs\/echarts-playbook\/boxplot-chart-statistical-distribution-and-outlier-spotting-guide\/\" \/>\n<meta property=\"og:site_name\" content=\"VPasCode\" \/>\n<meta property=\"article:modified_time\" content=\"2026-07-29T08:50:28+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.vpascode.com\/es\/wp-content\/uploads\/sites\/5\/2026\/07\/img_6a66be79ad2aa.png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Tiempo de lectura\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/docs\\\/vpascode-docs\\\/echarts-playbook\\\/boxplot-chart-statistical-distribution-and-outlier-spotting-guide\\\/\",\"url\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/docs\\\/vpascode-docs\\\/echarts-playbook\\\/boxplot-chart-statistical-distribution-and-outlier-spotting-guide\\\/\",\"name\":\"ECharts Boxplot Chart Guide | VPasCode Text to Diagram Tool\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/docs\\\/vpascode-docs\\\/echarts-playbook\\\/boxplot-chart-statistical-distribution-and-outlier-spotting-guide\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/docs\\\/vpascode-docs\\\/echarts-playbook\\\/boxplot-chart-statistical-distribution-and-outlier-spotting-guide\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/wp-content\\\/uploads\\\/sites\\\/5\\\/2026\\\/07\\\/img_6a66be79ad2aa.png\",\"datePublished\":\"2026-07-27T02:10:31+00:00\",\"dateModified\":\"2026-07-29T08:50:28+00:00\",\"description\":\"Plot statistical quartile distributions and outliers with ECharts boxplot scripts in VPasCode, a diagram-as-code tool.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/docs\\\/vpascode-docs\\\/echarts-playbook\\\/boxplot-chart-statistical-distribution-and-outlier-spotting-guide\\\/#breadcrumb\"},\"inLanguage\":\"es\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.vpascode.com\\\/es\\\/docs\\\/vpascode-docs\\\/echarts-playbook\\\/boxplot-chart-statistical-distribution-and-outlier-spotting-guide\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"es\",\"@id\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/docs\\\/vpascode-docs\\\/echarts-playbook\\\/boxplot-chart-statistical-distribution-and-outlier-spotting-guide\\\/#primaryimage\",\"url\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/wp-content\\\/uploads\\\/sites\\\/5\\\/2026\\\/07\\\/img_6a66be79ad2aa.png\",\"contentUrl\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/wp-content\\\/uploads\\\/sites\\\/5\\\/2026\\\/07\\\/img_6a66be79ad2aa.png\",\"width\":1828,\"height\":1336},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/docs\\\/vpascode-docs\\\/echarts-playbook\\\/boxplot-chart-statistical-distribution-and-outlier-spotting-guide\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Lean Docs\",\"item\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/docs\\\/%ld_collection%\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"ECharts Playbook\",\"item\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/docs\\\/vpascode-docs\\\/echarts-playbook\\\/\"},{\"@type\":\"ListItem\",\"position\":4,\"name\":\"Boxplot Chart: Statistical Distribution and Outlier Spotting\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/#website\",\"url\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/\",\"name\":\"VPasCode\",\"description\":\"by Visual Paradigm\",\"publisher\":{\"@id\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"es\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/#organization\",\"name\":\"VPasCode\",\"url\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"es\",\"@id\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/wp-content\\\/uploads\\\/sites\\\/5\\\/2026\\\/06\\\/cropped-vp-online-logo-v1.png\",\"contentUrl\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/wp-content\\\/uploads\\\/sites\\\/5\\\/2026\\\/06\\\/cropped-vp-online-logo-v1.png\",\"width\":128,\"height\":138,\"caption\":\"VPasCode\"},\"image\":{\"@id\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"ECharts Boxplot Chart Guide | VPasCode Text to Diagram Tool","description":"Plot statistical quartile distributions and outliers with ECharts boxplot scripts in VPasCode, a diagram-as-code tool.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.vpascode.com\/es\/docs\/vpascode-docs\/echarts-playbook\/boxplot-chart-statistical-distribution-and-outlier-spotting-guide\/","og_locale":"es_ES","og_type":"article","og_title":"ECharts Boxplot Chart Guide | VPasCode Text to Diagram Tool","og_description":"Plot statistical quartile distributions and outliers with ECharts boxplot scripts in VPasCode, a diagram-as-code tool.","og_url":"https:\/\/www.vpascode.com\/es\/docs\/vpascode-docs\/echarts-playbook\/boxplot-chart-statistical-distribution-and-outlier-spotting-guide\/","og_site_name":"VPasCode","article_modified_time":"2026-07-29T08:50:28+00:00","og_image":[{"url":"https:\/\/www.vpascode.com\/es\/wp-content\/uploads\/sites\/5\/2026\/07\/img_6a66be79ad2aa.png","type":"","width":"","height":""}],"twitter_card":"summary_large_image","twitter_misc":{"Tiempo de lectura":"2 minutos"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.vpascode.com\/es\/docs\/vpascode-docs\/echarts-playbook\/boxplot-chart-statistical-distribution-and-outlier-spotting-guide\/","url":"https:\/\/www.vpascode.com\/es\/docs\/vpascode-docs\/echarts-playbook\/boxplot-chart-statistical-distribution-and-outlier-spotting-guide\/","name":"ECharts Boxplot Chart Guide | VPasCode Text to Diagram Tool","isPartOf":{"@id":"https:\/\/www.vpascode.com\/es\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.vpascode.com\/es\/docs\/vpascode-docs\/echarts-playbook\/boxplot-chart-statistical-distribution-and-outlier-spotting-guide\/#primaryimage"},"image":{"@id":"https:\/\/www.vpascode.com\/es\/docs\/vpascode-docs\/echarts-playbook\/boxplot-chart-statistical-distribution-and-outlier-spotting-guide\/#primaryimage"},"thumbnailUrl":"https:\/\/www.vpascode.com\/es\/wp-content\/uploads\/sites\/5\/2026\/07\/img_6a66be79ad2aa.png","datePublished":"2026-07-27T02:10:31+00:00","dateModified":"2026-07-29T08:50:28+00:00","description":"Plot statistical quartile distributions and outliers with ECharts boxplot scripts in VPasCode, a diagram-as-code tool.","breadcrumb":{"@id":"https:\/\/www.vpascode.com\/es\/docs\/vpascode-docs\/echarts-playbook\/boxplot-chart-statistical-distribution-and-outlier-spotting-guide\/#breadcrumb"},"inLanguage":"es","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.vpascode.com\/es\/docs\/vpascode-docs\/echarts-playbook\/boxplot-chart-statistical-distribution-and-outlier-spotting-guide\/"]}]},{"@type":"ImageObject","inLanguage":"es","@id":"https:\/\/www.vpascode.com\/es\/docs\/vpascode-docs\/echarts-playbook\/boxplot-chart-statistical-distribution-and-outlier-spotting-guide\/#primaryimage","url":"https:\/\/www.vpascode.com\/es\/wp-content\/uploads\/sites\/5\/2026\/07\/img_6a66be79ad2aa.png","contentUrl":"https:\/\/www.vpascode.com\/es\/wp-content\/uploads\/sites\/5\/2026\/07\/img_6a66be79ad2aa.png","width":1828,"height":1336},{"@type":"BreadcrumbList","@id":"https:\/\/www.vpascode.com\/es\/docs\/vpascode-docs\/echarts-playbook\/boxplot-chart-statistical-distribution-and-outlier-spotting-guide\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.vpascode.com\/es\/"},{"@type":"ListItem","position":2,"name":"Lean Docs","item":"https:\/\/www.vpascode.com\/es\/docs\/%ld_collection%\/"},{"@type":"ListItem","position":3,"name":"ECharts Playbook","item":"https:\/\/www.vpascode.com\/es\/docs\/vpascode-docs\/echarts-playbook\/"},{"@type":"ListItem","position":4,"name":"Boxplot Chart: Statistical Distribution and Outlier Spotting"}]},{"@type":"WebSite","@id":"https:\/\/www.vpascode.com\/es\/#website","url":"https:\/\/www.vpascode.com\/es\/","name":"VPasCode","description":"by Visual Paradigm","publisher":{"@id":"https:\/\/www.vpascode.com\/es\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.vpascode.com\/es\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"es"},{"@type":"Organization","@id":"https:\/\/www.vpascode.com\/es\/#organization","name":"VPasCode","url":"https:\/\/www.vpascode.com\/es\/","logo":{"@type":"ImageObject","inLanguage":"es","@id":"https:\/\/www.vpascode.com\/es\/#\/schema\/logo\/image\/","url":"https:\/\/www.vpascode.com\/es\/wp-content\/uploads\/sites\/5\/2026\/06\/cropped-vp-online-logo-v1.png","contentUrl":"https:\/\/www.vpascode.com\/es\/wp-content\/uploads\/sites\/5\/2026\/06\/cropped-vp-online-logo-v1.png","width":128,"height":138,"caption":"VPasCode"},"image":{"@id":"https:\/\/www.vpascode.com\/es\/#\/schema\/logo\/image\/"}}]}},"_links":{"self":[{"href":"https:\/\/www.vpascode.com\/es\/wp-json\/wp\/v2\/ld_docs\/1336","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.vpascode.com\/es\/wp-json\/wp\/v2\/ld_docs"}],"about":[{"href":"https:\/\/www.vpascode.com\/es\/wp-json\/wp\/v2\/types\/ld_docs"}],"author":[{"embeddable":true,"href":"https:\/\/www.vpascode.com\/es\/wp-json\/wp\/v2\/users\/3"}],"up":[{"embeddable":true,"href":"https:\/\/www.vpascode.com\/es\/wp-json\/wp\/v2\/ld_docs\/1254"}],"wp:attachment":[{"href":"https:\/\/www.vpascode.com\/es\/wp-json\/wp\/v2\/media?parent=1336"}],"wp:term":[{"taxonomy":"ld_collection","embeddable":true,"href":"https:\/\/www.vpascode.com\/es\/wp-json\/wp\/v2\/ld_collection?post=1336"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}