{"id":2075,"date":"2026-07-24T09:27:56","date_gmt":"2026-07-24T09:27:56","guid":{"rendered":"https:\/\/www.vpascode.com\/de\/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\/de\/docs\/vpascode-docs\/stacked-column-chart-part-to-whole-composition-guide\/","title":{"rendered":"Stacked Column Chart: Zusammensetzung Teil-zu-Ganzes"},"content":{"rendered":"

Beim Evaluieren der strukturellen Aufteilung \u00fcber diskrete Metriken bietet die Stacked Column Chart<\/strong>bietet eine effiziente M\u00f6glichkeit, Teil-zu-Ganzes-Verteilungen darzustellen. Im Gegensatz zu gruppierten Layouts, die Datenserien horizontal verteilen, akkumulieren gestapelte Diagramme Werte vertikal innerhalb einer einzigen Spaltenbegrenzung. Dieses Format erleichtert die \u00dcberwachung von Gesamtwachstum der Kategorie, w\u00e4hrend die sich ver\u00e4ndernden Anteile der internen Unterkomponenten verfolgt werden<\/em>, beispielsweise Ger\u00e4tetransport nach Betriebssystem oder Quartalsausgaben aufgeschl\u00fcsselt nach Abteilungen.<\/p>\n

Die Mechanik gestapelter S\u00e4ulen<\/h2>\n

Gestapelte S\u00e4ulendiagramme beruhen darauf, einer \u00fcbereinstimmenden stack<\/code>Identifikator \u00fcber mehrere Serien hinweg zuzuweisen. Wenn die Rendering-Engine identische stack<\/code>String-Werte in einer Serie mit type: 'bar'<\/code>erkennt, stapelt es die numerischen Werte sequenziell entlang der vertikalen Y-Achse, anstatt \u00fcberlappende oder nebeneinander stehende S\u00e4ulen darzustellen.<\/p>\n

1. Grundlegende Einrichtung<\/h3>\n

Um ein grundlegendes gestapeltes S\u00e4ulendiagramm zu erstellen, definieren Sie eine kategorienbasierte X-Achse und wenden eine gemeinsame stack<\/code>Eigenschaft auf jede Serie in Ihrem series<\/code>Array:<\/p>\n

\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nECharts in VPasCode bearbeiten<\/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: ['Direkt', 'Organische Suche', 'Bezahlte Anzeigen', 'Verweis']\r\n    },\r\n    xAxis: {\r\n        type: 'category',\r\n        data: ['Mo', 'Di', 'Mi', 'Do', 'Fr', 'Sa', 'So']\r\n    },\r\n    yAxis: {\r\n        type: 'value'\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Direkt',\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: 'Organische Suche',\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: 'Bezahlte Anzeigen',\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: 'Verweis',\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
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\nECharts in VPasCode bearbeiten<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
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Erweiterte strukturelle Techniken<\/h2>\n
Gestapelte S\u00e4ulendiagramme k\u00f6nnen je nach Ihren analytischen Anforderungen so angepasst werden, dass prozentuale Verteilungen oder selektive Untergliederungen angezeigt werden.<\/p>\n
1. 100 % normalisierte gestapelte S\u00e4ulen<\/h3>\n
Wenn Ihr Hauptziel darin besteht, Anteilsverh\u00e4ltnisse zu vergleichen, anstatt absolute Zahlenwerte, konvertieren Sie Ihre Datenwerte in normalisierte Prozents\u00e4tze, die pro Kategorie insgesamt 100 % ergeben:<\/p>\n
\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nECharts in VPasCode bearbeiten<\/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>
\nECharts in VPasCode bearbeiten<\/span>
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2. Mehrfach-Stack-Gruppierung<\/h3>\n
Sie k\u00f6nnen Gruppierung und Stapelung in einer einzigen Ansicht kombinieren, indem Sie unterschiedlicheStack<\/code>Identifikatoren \u00fcber die Serien hinweg verwenden. Zum Beispiel: Vergleich von tats\u00e4chlichen gegen\u00fcber Zielwerten, wobei jeder aus gestapelten Unterkomponenten besteht:<\/p>\n
\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nECharts in VPasCode bearbeiten<\/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: ['Produkt A tats\u00e4chlich', 'Produkt B tats\u00e4chlich', 'Produkt A Ziel', 'Produkt B Ziel']\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: 'Produkt A tats\u00e4chlich',\r\n            type: 'bar',\r\n            stack: 'tats\u00e4chlich',\r\n            data: [120, 150, 180, 200]\r\n        },\r\n        {\r\n            name: 'Produkt B tats\u00e4chlich',\r\n            type: 'bar',\r\n            stack: 'tats\u00e4chlich',\r\n            data: [80, 90, 100, 110]\r\n        },\r\n        {\r\n            name: 'Produkt A Ziel',\r\n            type: 'bar',\r\n            stack: 'Ziel',\r\n            data: [130, 160, 190, 210]\r\n        },\r\n        {\r\n            name: 'Produkt B Ziel',\r\n            type: 'bar',\r\n            stack: 'Ziel',\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>
\nECharts in VPasCode bearbeiten<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
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\u00a0<\/p>\n
Feinabstimmung von Layout und Stil<\/h2>\n
Eine ansprechende visuelle Gestaltung ist entscheidend f\u00fcr gestapelte S\u00e4ulen, um sicherzustellen, dass die Segmente unterscheidbar bleiben, ohne visuelle Erm\u00fcdung zu verursachen.<\/p>\n
1. Segmentgrenzen und abgerundete Oberkanten<\/h3>\n
Wenden Sie saubere Grenzlinien zwischen den gestapelten Segmenten an und beschr\u00e4nken Sie die Eckenrundung auf das oberste Segment der Stapelreihe:<\/p>\n
\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nECharts in VPasCode bearbeiten<\/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', 'Feb', 'Mar', 'Apr']\r\n    },\r\n    yAxis: {\r\n        type: 'value'\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Basis-Ebene',\r\n            type: 'bar',\r\n            stack: 'Gesamt',\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: 'Mittlere Ebene',\r\n            type: 'bar',\r\n            stack: 'Gesamt',\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: 'Oberste Ebene',\r\n            type: 'bar',\r\n            stack: 'Gesamt',\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] \/\/ Nur oben abgerundete Ecken\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>
\nECharts in VPasCode bearbeiten<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
Strategische Best Practices<\/h2>\n
    \n
  • Anzahl der Segmente begrenzen:<\/strong>Vermeiden Sie das Stapeln von mehr als 4 bis 5 Kategorien pro S\u00e4ule. \u00dcber diesen Schwellenwert hinaus wird das Vergleichen der mittleren Segmente zwischen den S\u00e4ulen visuell herausfordernd.<\/li>\n
  • Basiselemente am unteren Rand ausrichten:<\/strong>Stellen Sie Ihren wichtigsten Kennwert oder die gr\u00f6\u00dfte Unterkomponente als erstes Element imReihe<\/code>Array, damit es direkt auf der Baseline liegt und eine einfache Ausrichtung erm\u00f6glicht.<\/li>\n
  • Hochkontrast-Palette oder Grenzlinien verwenden:<\/strong>Wenden Sie subtile wei\u00dfe Grenzlinien zwischen den Segmenten an, um eine klare Unterscheidung zu gew\u00e4hrleisten, wenn benachbarte Farben \u00e4hnliche Kontraststufen aufweisen.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
    Beim Evaluieren der strukturellen Aufteilung \u00fcber diskrete Metriken bietet die Stacked Column Chartbietet eine effiziente M\u00f6glichkeit, Teil-zu-Ganzes-Verteilungen darzustellen. Im Gegensatz zu gruppierten Layouts, die Datenserien horizontal verteilen, akkumulieren gestapelte Diagramme Werte vertikal innerhalb einer einzigen Spaltenbegrenzung. Dieses Format erleichtert die…<\/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 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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\/de\/docs\/vpascode-docs\/stacked-column-chart-part-to-whole-composition-guide\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\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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