{"id":2057,"date":"2026-07-27T02:28:09","date_gmt":"2026-07-27T02:28:09","guid":{"rendered":"https:\/\/www.vpascode.com\/de\/docs\/uncategorized\/parallel-chart-multi-dimensional-data-analysis-guide\/"},"modified":"2026-07-27T02:28:09","modified_gmt":"2026-07-27T02:28:09","slug":"parallel-chart-multi-dimensional-data-analysis-guide","status":"publish","type":"ld_docs","link":"https:\/\/www.vpascode.com\/de\/docs\/vpascode-docs\/parallel-chart-multi-dimensional-data-analysis-guide\/","title":{"rendered":"Parallel-Diagramm: Analyse mehrdimensionaler Daten"},"content":{"rendered":"

Beim Vergleich mehrdimensionaler Datenpunkte \u00fcber viele numerische oder kategorische Achsen gleichzeitig ist das Parallel-Koordinaten-Diagramm<\/strong>ein unverzichtbares visuelles Werkzeug. Anstatt Koordinaten auf senkrecht zueinander stehende horizontale und vertikale Achsen abzubilden, stellen parallele Diagramme alle Dimensionen nebeneinander als parallele Linien dar. Individuelle Datenpunkte werden als kontinuierliche Polygonz\u00fcge dargestellt, die jede Achse schneiden, wodurch es einfach ist, mehrdimensionale Cluster, Kompromisse, Korrelationen und Ausrei\u00dfer zu erkennen<\/em>\u2014beispielsweise beim Vergleich von Automodellen hinsichtlich Leistung, Gewicht, Kraftstoffverbrauch, Preis und Sicherheitsbewertung.<\/p>\n

Die Funktionsweise von Parallel-Diagrammen<\/h2>\n

In Apache ECharts basieren Parallel-Koordinaten-Diagramme auf einem speziellen parallelAxis<\/code>Konfigurationsblock, der jede parallele Skala definiert (ihre Achsen-Index, Dimensionsname und Datentyp). Die Diagrammreihe setzt type: 'parallel'<\/code>und ordnet Zeilen von mehrdimensionalen Wertarrays jedem entsprechenden Achsen-Index zu.<\/p>\n

1. Grundlegende Einrichtung<\/h3>\n

Um ein grundlegendes Parallel-Diagramm zu erstellen, definieren Sie Ihre Dimensionen im parallelAxis<\/code>Array und \u00fcbergeben Sie entsprechende Koordinaten-Arrays innerhalb Ihrer Reihe data<\/code>:<\/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    parallelAxis: [\r\n        { dim: 0, name: 'Preis ($)' },\r\n        { dim: 1, name: 'Bewertung' },\r\n        { dim: 2, name: 'Gewicht (kg)' },\r\n        { dim: 3, name: 'Leistung (PS)' }\r\n    ],\r\n    series: [\r\n        {\r\n            type: 'parallel',\r\n            lineStyle: {\r\n                width: 2\r\n            },\r\n            data: [\r\n                [1299, 4.5, 1.2, 120],\r\n                [899, 4.0, 1.5, 95],\r\n                [1599, 4.8, 1.1, 150],\r\n                [499, 3.5, 2.0, 80],\r\n                [2100, 4.9, 0.9, 180]\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
Parallel-Diagramme k\u00f6nnen mit visuellen Farbverl\u00e4ufen oder gemischten kategorischen Skalen kombiniert werden, um komplexe Kompromisse \u00fcber verschiedene Produktkategorien hinweg zu bewerten.<\/p>\n
1. Visuelle Farbverl\u00e4ufe \u00fcber Dimensionen hinweg<\/h3>\n
Kombinieren Sie eine visualMap<\/code>Komponente mit einer Schl\u00fcsselachsen-Dimension (z.\u202fB. Abbildung der Linienfarbe auf Leistungsbeurteilungen), um sofort Spitzenleistungen \u00fcber alle parallelen Achsen hinweg hervorzuheben:<\/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    parallelAxis: [\r\n        { dim: 0, name: 'CPU-Kerne' },\r\n        { dim: 1, name: 'RAM (GB)' },\r\n        { dim: 2, name: 'Speicher (TB)' },\r\n        { dim: 3, name: 'Monatliche Kosten ($)', min: 0, max: 200 }\r\n    ],\r\n    visualMap: {\r\n        show: true,\r\n        type: 'continuous',\r\n        min: 0,\r\n        max: 200,\r\n        dimension: 3, \/\/ Farbliche Darstellung der Linienpfade basierend auf dem Dimensionsindex 3 (Monatliche Kosten)\r\n        inRange: {\r\n            color: ['#91cc75', '#fac858', '#ee6666'] \/\/ Gr\u00fcn (niedrige Kosten) bis Rot (hohe Kosten)\r\n        },\r\n        orient: 'horizontal',\r\n        top: '2%',\r\n        left: 'center'\r\n    },\r\n    parallel: {\r\n        top: '18%',\r\n        bottom: '10%'\r\n    },\r\n    series: [\r\n        {\r\n            type: 'parallel',\r\n            lineStyle: {\r\n                width: 3,\r\n                opacity: 0.8\r\n            },\r\n            data: [\r\n                [4, 8, 0.5, 25],\r\n                [8, 16, 1.0, 50],\r\n                [16, 32, 2.0, 110],\r\n                [32, 64, 4.0, 185],\r\n                [12, 24, 1.5, 80]\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
Feinabstimmung von Layout und interaktiver Filterung<\/h2>\n
Durch Hinzuf\u00fcgen von sanften Kurven und Linien-Transparenz werden dichte, sich kreuzende Datenf\u00e4den verhindert, die die Benutzeroberfl\u00e4che \u00fcberw\u00e4ltigen k\u00f6nnten.<\/p>\n
1. Sanfte Kurvenpfade und transparente F\u00e4den<\/h3>\n
Setzen Sie smooth: true<\/code>und verringern Sie die Linien-Transparenz, um hohe Dichte von Daten\u00fcberlappungen und Clustern nat\u00fcrlich sichtbar zu machen:<\/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    parallelAxis: [\r\n        { dim: 0, name: 'Punkt A' },\r\n        { dim: 1, name: 'Punkt B' },\r\n        { dim: 2, name: 'Punkt C' },\r\n        { dim: 3, name: 'Punkt D' },\r\n        { dim: 4, name: 'Punkt E' }\r\n    ],\r\n    parallel: {\r\n        left: '10%',\r\n        right: '10%',\r\n        bottom: '12%',\r\n        top: '12%'\r\n    },\r\n    series: [\r\n        {\r\n            type: 'parallel',\r\n            smooth: true, \/\/ Kurven f\u00fcr die Linienpfade zur besseren Darstellung\r\n            lineStyle: {\r\n                color: '#5470c6',\r\n                width: 2,\r\n                opacity: 0.45\r\n            },\r\n            data: [\r\n                [85, 92, 78, 90, 88],\r\n                [70, 65, 80, 72, 75],\r\n                [95, 88, 92, 96, 94],\r\n                [60, 75, 68, 62, 70],\r\n                [88, 90, 85, 89, 91],\r\n                [78, 82, 74, 80, 83]\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
  • Richten Sie die Achsen sorgf\u00e4ltig aus:<\/strong>Platzieren Sie stark korrelierte oder direkt vergleichbare Metriken auf benachbarten Achsen, damit Beziehungen und \u00dcbergangstrends leichter erkennbar sind.<\/li>\n
  • Verwenden Sie geringere Transparenz bei hoher Datenmenge:<\/strong> Wenn Dutzende oder Hunderte von Linien gezeichnet werden, verringern Sie lineStyle.opacity<\/code> auf 0.2<\/code>\u20130.5<\/code>damit sich \u00fcberlappende Trends nat\u00fcrlicherweise dunklere, hochdichte B\u00e4nder bilden.<\/li>\n
  • Aktivieren Sie smooth: true<\/code>f\u00fcr komplexe Datens\u00e4tze:<\/strong>Durch die subtile Kr\u00fcmmung der Linienpfade werden scharfe visuelle Winkel reduziert, wenn F\u00e4den mehrere parallele Achsen nacheinander kreuzen.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
    Beim Vergleich mehrdimensionaler Datenpunkte \u00fcber viele numerische oder kategorische Achsen gleichzeitig ist das Parallel-Koordinaten-Diagrammein unverzichtbares visuelles Werkzeug. Anstatt Koordinaten auf senkrecht zueinander stehende horizontale und vertikale Achsen abzubilden, stellen parallele Diagramme alle Dimensionen nebeneinander als parallele Linien dar. Individuelle Datenpunkte…<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":19,"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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Parallel Chart Guide | VPasCode Text to Diagram Guide<\/title>\n<meta name=\"description\" content=\"Plot multi-dimensional feature comparison charts with ECharts parallel coordinates in VPasCode, a text to diagram 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\/parallel-chart-multi-dimensional-data-analysis-guide\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ECharts Parallel Chart Guide | VPasCode Text to Diagram Guide\" \/>\n<meta property=\"og:description\" content=\"Plot multi-dimensional feature comparison charts with ECharts parallel coordinates in VPasCode, a text to diagram tool.\" \/>\n<meta property=\"og:url\" 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