{"id":2071,"date":"2026-07-27T01:16:35","date_gmt":"2026-07-27T01:16:35","guid":{"rendered":"https:\/\/www.vpascode.com\/de\/docs\/uncategorized\/line-chart-trend-tracking-and-continuous-data-guide\/"},"modified":"2026-07-27T01:16:35","modified_gmt":"2026-07-27T01:16:35","slug":"line-chart-trend-tracking-and-continuous-data-guide","status":"publish","type":"ld_docs","link":"https:\/\/www.vpascode.com\/de\/docs\/vpascode-docs\/line-chart-trend-tracking-and-continuous-data-guide\/","title":{"rendered":"Liniendiagramm: Trendverfolgung und kontinuierliche Daten"},"content":{"rendered":"

Beim Verfolgen kontinuierlicher Fortschritte oder zeitserieller Ver\u00e4nderungen dient die Liniendiagramm<\/strong>als das prim\u00e4re visuelle Werkzeug. Im Gegensatz zu diskreten S\u00e4ulen- oder Balkendiagrammen, die sich auf den Vergleich einzelner Kategorien konzentrieren, betonen Liniendiagramme Verbindung und Steigung, um Impuls, Saisonalit\u00e4t und pl\u00f6tzliche \u00c4nderungen von Kennzahlen<\/em> \u00fcber kontinuierliche Sequenzen hervorzuheben, wie zum Beispiel das t\u00e4gliche Wachstum aktiver Nutzer, monatliches wiederkehrendes Einkommen oder Sensortelemetriedatenstr\u00f6me.<\/p>\n

Die Funktionsweise von Liniendiagrammen<\/h2>\n

In Apache ECharts werden Liniendarstellungen konfiguriert, indem die Eigenschaft type<\/code> auf 'line'<\/code>. Liniendiagramme verbinden sequenziell geordnete Datenpunkte entlang einer kontinuierlichen kategorischen oder Zeitachse auf der horizontalen Achse (xAxis<\/code>) und ordnen kontinuierliche numerische Werte der vertikalen Achse (yAxis<\/code>).<\/p>\n

1. Grundlegende Einrichtung<\/h3>\n

Um ein einfaches Liniendiagramm zu erstellen, definieren Sie Ihre kontinuierlichen Kategorien entlang der X-Achse und ordnen Sie Ihre Datens\u00e4tze einem Series-Objekt mit type: 'line'<\/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    tooltip: {\r\n        trigger: 'axis'\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            type: 'line',\r\n            data: [150, 230, 224, 218, 135, 147, 260]\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
Erweiterte strukturelle Techniken<\/h2>\n
Liniendiagramme bieten Flexibilit\u00e4t f\u00fcr mehrere metrische \u00dcberlagerungen, glatte Interpolationskurven und ma\u00dfgeschneiderte Indikatoren f\u00fcr Datenpunkte.<\/p>\n
1. Glatte Interpolationskurven<\/h3>\n
Standardm\u00e4\u00dfig verbinden Linienserien Datenpunkte mit geraden Linienst\u00fccken. Durch Aktivieren von smooth: true<\/code>wird kubische Spline-Interpolation angewendet, um gekr\u00fcmmte, organische Linienpfade \u00fcber Ihr Datenset zu erstellen:<\/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    },\r\n    xAxis: {\r\n        type: 'category',\r\n        data: ['Jan', 'Feb', 'Mar', 'Apr', 'Mai', 'Jun']\r\n    },\r\n    yAxis: {\r\n        type: 'value'\r\n    },\r\n    series: [\r\n        {\r\n            type: 'line',\r\n            smooth: true,\r\n            data: [820, 932, 901, 934, 1290, 1330],\r\n            lineStyle: {\r\n                width: 3,\r\n                color: '#5470c6'\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
2. Vergleich der Leistung bei mehreren Linien<\/h3>\n
Vergleichen Sie sekund\u00e4re Metriken \u00fcber identische Zeitintervalle, indem Sie mehrere Linienobjekte innerhalb des series<\/code> Array bereitstellen:<\/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    },\r\n    legend: {\r\n        data: ['Aktueller Zeitraum', 'Vorheriger Zeitraum']\r\n    },\r\n    xAxis: {\r\n        type: 'category',\r\n        data: ['Woche 1', 'Woche 2', 'Woche 3', 'Woche 4']\r\n    },\r\n    yAxis: {\r\n        type: 'value'\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Aktueller Zeitraum',\r\n            type: 'line',\r\n            smooth: true,\r\n            data: [320, 332, 301, 334],\r\n            itemStyle: { color: '#5470c6' }\r\n        },\r\n        {\r\n            name: 'Vorheriger Zeitraum',\r\n            type: 'line',\r\n            smooth: true,\r\n            data: [220, 182, 191, 234],\r\n            itemStyle: { color: '#91cc75' }\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 Bereichsf\u00fcllungen und Datenpunkten<\/h2>\n
Linienreihen k\u00f6nnen visuell verbessert werden, indem subtile Hintergrundverl\u00e4ufe und gezielte Datenmarken verwendet werden, um auf wichtige Meilensteine hinzuweisen.<\/p>\n
1. Linienbereichs-Stil<\/h3>\n
Hinzuf\u00fcgen eines areaStyle<\/code>Eigenschaft verwandelt ein Standard-Linien-Diagramm in eine Bereichsansicht, wobei der Bereich zwischen der Linienbahn und der horizontalen Achse gef\u00fcllt wird:<\/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        boundaryGap: false, \/\/ Linie direkt an Achsenr\u00e4ndern ausrichten\r\n        data: ['00:00', '04:00', '08:00', '12:00', '16:00', '20:00', '23:59']\r\n    },\r\n    yAxis: {\r\n        type: 'value'\r\n    },\r\n    series: [\r\n        {\r\n            type: 'line',\r\n            smooth: true,\r\n            data: [300, 280, 250, 590, 820, 710, 430],\r\n            areaStyle: {\r\n                color: 'rgba(84, 112, 198, 0.25)' \/\/ Weiche F\u00fcllung unter der Linie\r\n            },\r\n            lineStyle: {\r\n                width: 3,\r\n                color: '#5470c6'\r\n            },\r\n            symbolSize: 8\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
  • Verwenden Sie boundaryGap: false<\/code>f\u00fcr Zeitreihen:<\/strong>Das Entfernen der Standardrandabst\u00e4nde auf kontinuierlichen Zeitachsen erm\u00f6glicht es der Linie, direkt am Nullrand zu beginnen, um eine saubere Kanten-zu-Kanten-Darstellung zu erzielen.<\/li>\n
  • Halten Sie die Anzahl der Linien niedrig:<\/strong>Vermeiden Sie die Darstellung von mehr als 4 bis 5 Linien auf einer einzigen Leinwand. \u00dcberf\u00fcllte Linien-Diagramme (\u201eSpaghetti-Diagramme\u201c) werden schnell unleserlich.<\/li>\n
  • Achsen-Tooltip-Ausl\u00f6ser<\/strong> Immer konfigurieren Tooltip: { Ausl\u00f6ser: 'Achse' }<\/code> damit Benutzer entlang eines beliebigen horizontalen Punkts hovern k\u00f6nnen, um pr\u00e4zise Werte aller aktiven Linienreihen gleichzeitig anzuzeigen.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
    Beim Verfolgen kontinuierlicher Fortschritte oder zeitserieller Ver\u00e4nderungen dient die Liniendiagrammals das prim\u00e4re visuelle Werkzeug. Im Gegensatz zu diskreten S\u00e4ulen- oder Balkendiagrammen, die sich auf den Vergleich einzelner Kategorien konzentrieren, betonen Liniendiagramme Verbindung und Steigung, um Impuls, Saisonalit\u00e4t und pl\u00f6tzliche \u00c4nderungen…<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":5,"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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Line Chart Guide | VPasCode Text to Diagram Tool<\/title>\n<meta name=\"description\" content=\"Plot continuous data trends over time using ECharts line chart scripts in VPasCode, a free 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\/line-chart-trend-tracking-and-continuous-data-guide\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ECharts Line Chart Guide | VPasCode Text to Diagram Tool\" \/>\n<meta property=\"og:description\" content=\"Plot continuous data trends over time using ECharts line chart scripts in VPasCode, a free diagram-as-code tool.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.vpascode.com\/de\/docs\/vpascode-docs\/line-chart-trend-tracking-and-continuous-data-guide\/\" 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