{"id":2073,"date":"2026-07-24T09:27:56","date_gmt":"2026-07-24T09:27:56","guid":{"rendered":"https:\/\/www.vpascode.com\/pt\/docs\/uncategorized\/stacked-column-chart-part-to-whole-composition-guide\/"},"modified":"2026-07-24T09:27:56","modified_gmt":"2026-07-24T09:27:56","slug":"stacked-column-chart-part-to-whole-composition-guide","status":"publish","type":"ld_docs","link":"https:\/\/www.vpascode.com\/pt\/docs\/vpascode-docs\/stacked-column-chart-part-to-whole-composition-guide\/","title":{"rendered":"Gr\u00e1fico de Colunas Empilhadas: Composi\u00e7\u00e3o Parte-Todo"},"content":{"rendered":"

Ao avaliar a decomposi\u00e7\u00e3o estrutural em m\u00e9tricas discretas, o Gr\u00e1fico de Colunas Empilhadas<\/strong>oferece uma maneira eficiente de visualizar distribui\u00e7\u00f5es parte-todo. Diferentemente dos layouts agrupados que espalham as s\u00e9ries de dados horizontalmente, os gr\u00e1ficos empilhados acumulam valores verticalmente dentro de um \u00fanico limite de coluna. Esse formato torna simples monitorar o crescimento total da categoria enquanto acompanha as propor\u00e7\u00f5es vari\u00e1veis dos subcomponentes internos<\/em>, como o tr\u00e1fego de dispositivos dividido por sistema operacional ou a an\u00e1lise de despesas trimestrais por departamentos.<\/p>\n

Os Mecanismos das Colunas Empilhadas<\/h2>\n

Os gr\u00e1ficos de colunas empilhadas dependem da atribui\u00e7\u00e3o de um identificador empilhamento<\/code>id\u00eantico em m\u00faltiplas s\u00e9ries. Quando o motor de renderiza\u00e7\u00e3o detecta valores id\u00eanticos de empilhamento<\/code>em uma s\u00e9rie com type: 'bar'<\/code>, ele empilha os valores num\u00e9ricos sequencialmente ao longo do eixo Y vertical, em vez de renderizar colunas sobrepostas ou lado a lado.<\/p>\n

1. Configura\u00e7\u00e3o B\u00e1sica<\/h3>\n

Para criar um gr\u00e1fico de colunas empilhadas b\u00e1sico, defina um eixo X baseado em categorias e aplique uma propriedade comum empilhamento<\/code>\u00e0 cada s\u00e9rie na sua s\u00e9ries<\/code>array:<\/p>\n

\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nEdite o ECharts no 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: 'axis',\r\n        axisPointer: { type: 'shadow' }\r\n    },\r\n    legend: {\r\n        data: ['Direto', 'Busca Org\u00e2nica', 'An\u00fancios Pagos', 'Indica\u00e7\u00e3o']\r\n    },\r\n    xAxis: {\r\n        type: 'category',\r\n        data: ['Seg', 'Ter', 'Qua', 'Qui', 'Sex', 'S\u00e1b', 'Dom']\r\n    },\r\n    yAxis: {\r\n        type: 'value'\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Direto',\r\n            type: 'bar',\r\n            stack: 'total',\r\n            data: [120, 132, 101, 134, 90, 230, 210]\r\n        },\r\n        {\r\n            name: 'Busca Org\u00e2nica',\r\n            type: 'bar',\r\n            stack: 'total',\r\n            data: [220, 182, 191, 234, 290, 330, 310]\r\n        },\r\n        {\r\n            name: 'An\u00fancios Pagos',\r\n            type: 'bar',\r\n            stack: 'total',\r\n            data: [150, 232, 201, 154, 190, 330, 410]\r\n        },\r\n        {\r\n            name: 'Indica\u00e7\u00e3o',\r\n            type: 'bar',\r\n            stack: 'total',\r\n            data: [98, 77, 101, 99, 40, 120, 110]\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>
\nEdite o ECharts no VPasCode<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
T\u00e9cnicas Estruturais Avan\u00e7adas<\/h2>\n
Os gr\u00e1ficos de colunas empilhadas podem ser adaptados para mostrar distribui\u00e7\u00f5es em porcentagem ou agrupamentos subselecionados, dependendo das suas necessidades anal\u00edticas.<\/p>\n
1. Colunas Empilhadas Normalizadas em 100%<\/h3>\n
Quando seu objetivo principal \u00e9 comparar raz\u00f5es de propor\u00e7\u00e3o em vez de totais num\u00e9ricos absolutos, converta seus valores de dados em porcentagens normalizadas que totalizem 100% por categoria:<\/p>\n
\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nEdite o ECharts no 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: 'axis',\r\n        axisPointer: { type: 'shadow' },\r\n        formatter: '{b}\r\n{a0}: {c0}%\r\n{a1}: {c1}%\r\n{a2}: {c2}%'\r\n    },\r\n    legend: {\r\n        data: ['Desktop', 'Mobile', 'Tablet']\r\n    },\r\n    xAxis: {\r\n        type: 'category',\r\n        data: ['Q1', 'Q2', 'Q3', 'Q4']\r\n    },\r\n    yAxis: {\r\n        type: 'value',\r\n        min: 0,\r\n        max: 100,\r\n        axisLabel: { formatter: '{value}%' }\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Desktop',\r\n            type: 'bar',\r\n            stack: 'percentage',\r\n            data: [60, 50, 45, 40]\r\n        },\r\n        {\r\n            name: 'Mobile',\r\n            type: 'bar',\r\n            stack: 'percentage',\r\n            data: [30, 40, 45, 50]\r\n        },\r\n        {\r\n            name: 'Tablet',\r\n            type: 'bar',\r\n            stack: 'percentage',\r\n            data: [10, 10, 10, 10]\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>
\nEdite ECharts no VPasCode<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
2. Agrupamento Multi-Stack<\/h3>\n
Voc\u00ea pode combinar agrupamento e empilhamento em uma \u00fanica visualiza\u00e7\u00e3o usando identificadores distintosstack<\/code>identificadores entre s\u00e9ries. Por exemplo, compare totais reais versus alvo, onde cada um \u00e9 composto por subcomponentes empilhados:<\/p>\n
\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nEdite ECharts no 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    legend: {\r\n        data: ['Produto A Real', 'Produto B Real', 'Produto A Meta', 'Produto B Meta']\r\n    },\r\n    xAxis: {\r\n        type: 'category',\r\n        data: ['Q1', 'Q2', 'Q3', 'Q4']\r\n    },\r\n    yAxis: {\r\n        type: 'value'\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Produto A Real',\r\n            type: 'bar',\r\n            stack: 'actual',\r\n            data: [120, 150, 180, 200]\r\n        },\r\n        {\r\n            name: 'Produto B Real',\r\n            type: 'bar',\r\n            stack: 'actual',\r\n            data: [80, 90, 100, 110]\r\n        },\r\n        {\r\n            name: 'Produto A Meta',\r\n            type: 'bar',\r\n            stack: 'target',\r\n            data: [130, 160, 190, 210]\r\n        },\r\n        {\r\n            name: 'Produto B Meta',\r\n            type: 'bar',\r\n            stack: 'target',\r\n            data: [90, 100, 110, 120]\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>
\nEdite ECharts no VPasCode<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
Ajuste fino do layout e do estilo<\/h2>\n
O acabamento visual \u00e9 crucial para colunas empilhadas para garantir que os segmentos permane\u00e7am distintos sem causar fadiga visual.<\/p>\n
1. Limites dos segmentos e pontas superiores arredondadas<\/h3>\n
Aplicar separadores de borda limpas entre os segmentos empilhados e restringir o arredondamento de cantos apenas ao segmento superior da s\u00e9rie no empilhamento:<\/p>\n
\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nEdite ECharts no 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    xAxis: {\r\n        type: 'category',\r\n        data: ['Jan', 'Fev', 'Mar', 'Abr']\r\n    },\r\n    yAxis: {\r\n        type: 'value'\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Camada Base',\r\n            type: 'bar',\r\n            stack: 'total',\r\n            data: [320, 302, 301, 334],\r\n            itemStyle: {\r\n                color: '#4992ff',\r\n                borderColor: '#ffffff',\r\n                borderWidth: 1\r\n            }\r\n        },\r\n        {\r\n            name: 'Camada M\u00e9dia',\r\n            type: 'bar',\r\n            stack: 'total',\r\n            data: [120, 132, 101, 134],\r\n            itemStyle: {\r\n                color: '#7cffb2',\r\n                borderColor: '#ffffff',\r\n                borderWidth: 1\r\n            }\r\n        },\r\n        {\r\n            name: 'Camada Superior',\r\n            type: 'bar',\r\n            stack: 'total',\r\n            data: [220, 182, 191, 234],\r\n            itemStyle: {\r\n                color: '#fddd60',\r\n                borderColor: '#ffffff',\r\n                borderWidth: 1,\r\n                borderRadius: [4, 4, 0, 0] \/\/ Cantos arredondados apenas no segmento superior\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>
\nEdite ECharts no VPasCode<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
Melhores pr\u00e1ticas estrat\u00e9gicas<\/h2>\n
    \n
  • Limite o n\u00famero de segmentos:<\/strong>Evite empilhar mais de 4 a 5 categorias por coluna. Al\u00e9m desse limite, comparar segmentos centrais entre colunas torna-se visualmente desafiador.<\/li>\n
  • Fixe os itens da linha de base na parte inferior:<\/strong>Coloque sua m\u00e9trica mais importante ou maior subcomponente como o primeiro item noseries<\/code>array para que ele repouse diretamente na linha de base para alinhamento f\u00e1cil.<\/li>\n
  • Use uma paleta de alto contraste ou bordas:<\/strong>Aplicar linhas sutis de borda branca entre os segmentos para manter uma distin\u00e7\u00e3o clara quando cores adjacentes tiverem n\u00edveis semelhantes de contraste.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
    Ao avaliar a decomposi\u00e7\u00e3o estrutural em m\u00e9tricas discretas, o Gr\u00e1fico de Colunas Empilhadasoferece uma maneira eficiente de visualizar distribui\u00e7\u00f5es parte-todo. Diferentemente dos layouts agrupados que espalham as s\u00e9ries de dados horizontalmente, os gr\u00e1ficos empilhados acumulam valores verticalmente dentro de um…<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":27,"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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Stacked Column Chart | VPasCode Text to Diagram Guide<\/title>\n<meta name=\"description\" content=\"Visualize cumulative data series with ECharts stacked column charts in VPasCode, a free diagram-as-code tool for text to diagram mapping.\" \/>\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\/pt\/docs\/vpascode-docs\/stacked-column-chart-part-to-whole-composition-guide\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ECharts Stacked Column Chart | VPasCode Text to Diagram Guide\" \/>\n<meta property=\"og:description\" content=\"Visualize cumulative data series with ECharts stacked column charts in VPasCode, a free diagram-as-code tool for text to diagram mapping.\" \/>\n<meta property=\"og:url\" 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