{"id":2065,"date":"2026-07-27T02:00:51","date_gmt":"2026-07-27T02:00:51","guid":{"rendered":"https:\/\/www.vpascode.com\/de\/docs\/uncategorized\/scatter-chart-bivariate-distribution-and-point-clustering-guide\/"},"modified":"2026-07-27T02:00:51","modified_gmt":"2026-07-27T02:00:51","slug":"scatter-chart-bivariate-distribution-and-point-clustering-guide","status":"publish","type":"ld_docs","link":"https:\/\/www.vpascode.com\/de\/docs\/vpascode-docs\/scatter-chart-bivariate-distribution-and-point-clustering-guide\/","title":{"rendered":"Streudiagramm: Bivariate Verteilung und Punktclustering"},"content":{"rendered":"

Beim Untersuchen von Beziehungen oder Korrelationen zwischen zwei kontinuierlichen Variablen ist das Streudiagramm<\/strong> (oder Streudiagramm) das prim\u00e4re analytische Werkzeug. Durch die Darstellung von Datenpunkten auf einem zweidimensionalen Gitter basierend auf numerischen X- und Y-Koordinaten helfen Streudiagramme dabei, Clustern, Ausrei\u00dfern, Trends und Korrelationen<\/em> in komplexen Datens\u00e4tzen aufzudecken, wie zum Beispiel Werbeaufwand im Verh\u00e4ltnis zur Leadgenerierung oder Mitarbeitererfahrung im Verh\u00e4ltnis zum Gehalt.<\/p>\n

Die Funktionsweise von Streudiagrammen<\/h2>\n

Im Gegensatz zu kategorienbasierten S\u00e4ulen- oder Liniendiagrammen verwenden Streudiagramme f\u00fcr beide Dimensionen numerische Wertachsen. In Apache ECharts wird durch Einstellen von type: 'scatter'<\/code> wird erwartet, dass die Daten als zweielementige numerische Koordinaten-Arrays formatiert sind [x, y]<\/code> oder Datenobjekte, die \u00fcber numerische xAxis<\/code> und yAxis<\/code> Konfigurationen zugeordnet sind.<\/p>\n

1. Grundlegende Einrichtung<\/h3>\n

Um ein einfaches Streudiagramm zu erstellen, definieren Sie type: 'value'<\/code> auf beiden Achsen und geben Sie numerische Koordinatenpaare innerhalb Ihres Seriendaten-Arrays an:<\/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: 'item',\r\n        formatter: 'X: {c0}\r\nY: {c1}'\r\n    },\r\n    xAxis: {\r\n        type: 'value',\r\n        name: 'Werbungsaufwand ($k)'\r\n    },\r\n    yAxis: {\r\n        type: 'value',\r\n        name: 'Konversionen'\r\n    },\r\n    series: [\r\n        {\r\n            type: 'scatter',\r\n            symbolSize: 12,\r\n            data: [\r\n                [10.0, 8.04],\r\n                [8.07, 6.95],\r\n                [13.0, 7.58],\r\n                [9.05, 8.81],\r\n                [11.0, 8.33],\r\n                [14.0, 9.96],\r\n                [6.03, 7.24],\r\n                [12.0, 4.26],\r\n                [7.08, 4.82],\r\n                [5.02, 5.68]\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
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\n<\/path><\/path><\/svg>
\nECharts in VPasCode bearbeiten<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
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Erweiterte strukturelle Techniken<\/h2>\n
Streudiagramme k\u00f6nnen dynamische Gr\u00f6\u00dfenanpassung zur Darstellung einer dritten Variablen (Blasendiagramm) oder mehrkategoriale Clusteroberlagen anzeigen.<\/p>\n
1. Variable Punktgr\u00f6\u00dfe (Blaseneffekt)<\/h3>\n
\u00dcbergeben Sie eine benutzerdefinierte Funktion oder eine Datenwertzuordnung an symbolSize<\/code>um eine dritte quantitative Metrik in die Punktgr\u00f6\u00dfe zu kodieren:<\/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: 'item',\r\n        formatter: function (param) {\r\n            return 'Ausgaben: $' + param.data[0] + 'krn' +\r\n                   'Umsatz: $' + param.data[1] + 'krn' +\r\n                   'ROAS: ' + param.data[2] + 'x';\r\n        }\r\n    },\r\n    xAxis: {\r\n        type: 'value',\r\n        name: 'Ausgaben'\r\n    },\r\n    yAxis: {\r\n        type: 'value',\r\n        name: 'Umsatz'\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Kampagnen',\r\n            type: 'scatter',\r\n            symbolSize: function (data) {\r\n                return data[2] * 5; \/\/ Gr\u00f6\u00dfe der Blase anhand der dritten Variablen skalieren\r\n            },\r\n            data: [\r\n                [15, 120, 8.0],\r\n                [25, 180, 7.2],\r\n                [10, 50, 5.0],\r\n                [40, 380, 9.5],\r\n                [30, 210, 7.0]\r\n            ],\r\n            itemStyle: {\r\n                color: '#5470c6',\r\n                opacity: 0.7\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
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\u00a0<\/p>\n
Feinabstimmung von Layout und Stil<\/h2>\n
Die Steuerung der Markeroptik und die Hinzuf\u00fcgung von Ziel-Trendlinien verhindert, dass dichte Cluster zu festen visuellen Flecken werden.<\/p>\n
1. Transluzente Marker und Cluster-Stil<\/h3>\n
Durch Anwendung von Randstrichen und halbtransparenten F\u00fcllungen bleiben \u00fcberlappende Datenpunkte innerhalb von dichtbesetzten Clustern sichtbar:<\/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    grid: {\r\n        left: '10%',\r\n        right: '10%',\r\n        containLabel: true\r\n    },\r\n    xAxis: {\r\n        type: 'value',\r\n        scale: true \/\/ Achsenmin\/max automatisch skalieren, um Daten dicht zu fassen\r\n    },\r\n    yAxis: {\r\n        type: 'value',\r\n        scale: true\r\n    },\r\n    series: [\r\n        {\r\n            type: 'scatter',\r\n            symbolSize: 16,\r\n            itemStyle: {\r\n                color: 'rgba(84, 112, 198, 0.6)',\r\n                borderColor: '#5470c6',\r\n                borderWidth: 2\r\n            },\r\n            data: [\r\n                [161.2, 51.6], [167.5, 59.0], [159.5, 49.2], [157.0, 63.0],\r\n                [155.8, 53.6], [170.0, 59.0], [159.1, 47.6], [166.0, 69.8],\r\n                [176.2, 66.8], [160.2, 75.2], [172.5, 55.2], [170.9, 54.2]\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>
\nECharts in VPasCode bearbeiten<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
Strategische Best Practices<\/h2>\n
    \n
  • Aktivieren Sie scale: true<\/code> auf numerischen Achsen:<\/strong> Legen Sie scale: true<\/code> auf beiden numerischen Achsen fest, damit die Darstellung automatisch auf den relevanten Datenbereich zoomt, anstatt den Ursprung bei (0,0)<\/code>.<\/li>\n
  • Verwenden Sie F\u00fcll-Transparenz bei \u00dcberlappungen:<\/strong> Beim Darstellen von Hunderten von Punkten reduzieren Sie die F\u00fcll-Opazit\u00e4t auf etwa 0,4\u20130,6, damit dichte \u00dcberlappungsbereiche nat\u00fcrlich dunkler erscheinen.<\/li>\n
  • Stellen Sie kontextbezogene Achsenbeschriftungen bereit:<\/strong> Beschriften Sie X- und Y-Achsen immer explizit mit Messgr\u00f6\u00dfen (z.\u202fB. \u201e$ in Tausend\u201c oder \u201eLatenz in ms\u201c), damit die Werte ohne \u00dcberpr\u00fcfung von Tooltips sofort verst\u00e4ndlich sind.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
    Beim Untersuchen von Beziehungen oder Korrelationen zwischen zwei kontinuierlichen Variablen ist das Streudiagramm (oder Streudiagramm) das prim\u00e4re analytische Werkzeug. Durch die Darstellung von Datenpunkten auf einem zweidimensionalen Gitter basierend auf numerischen X- und Y-Koordinaten helfen Streudiagramme dabei, Clustern, Ausrei\u00dfern, Trends…<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":11,"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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Scatter Chart Guide | VPasCode Text to Diagram Tool<\/title>\n<meta name=\"description\" content=\"Analyze correlation trends between data variables using ECharts scatter plots 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\/de\/docs\/vpascode-docs\/scatter-chart-bivariate-distribution-and-point-clustering-guide\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ECharts Scatter Chart Guide | VPasCode Text to Diagram Tool\" \/>\n<meta property=\"og:description\" content=\"Analyze correlation trends between data variables using ECharts scatter plots in VPasCode, a diagram-as-code tool.\" \/>\n<meta property=\"og:url\" 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