{"id":2074,"date":"2026-07-24T09:27:56","date_gmt":"2026-07-24T09:27:56","guid":{"rendered":"https:\/\/www.vpascode.com\/pl\/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\/pl\/docs\/vpascode-docs\/stacked-column-chart-part-to-whole-composition-guide\/","title":{"rendered":"Wykres s\u0142upkowy skumulowany: kompozycja cz\u0119\u015b\u0107-ca\u0142o\u015b\u0107"},"content":{"rendered":"

Podczas oceny strukturalnego rozk\u0142adu na podstawie dyskretnych metryk, Wykres s\u0142upkowy skumulowany<\/strong>oferta efektywnego sposobu wizualizacji rozk\u0142ad\u00f3w cz\u0119\u015b\u0107-ca\u0142o\u015b\u0107. W przeciwie\u0144stwie do uk\u0142ad\u00f3w grupowanych, kt\u00f3re rozci\u0105gaj\u0105 serie danych poziomo, wykresy skumulowane gromadz\u0105 warto\u015bci pionowo w ramach pojedynczej granicy s\u0142upka. Ten format u\u0142atwia monitorowanie ca\u0142kowitego wzrostu kategorii podczas \u015bledzenia zmieniaj\u0105cych si\u0119 proporcji wewn\u0119trznych podkomponent\u00f3w<\/em>, takich jak ruch urz\u0105dze\u0144 podzielony wed\u0142ug systemu operacyjnego lub podzia\u0142 koszt\u00f3w kwartalnych mi\u0119dzy dzia\u0142ami.<\/p>\n

Zasady dzia\u0142ania s\u0142upk\u00f3w skumulowanych<\/h2>\n

Wykresy s\u0142upkowe skumulowane opieraj\u0105 si\u0119 na przypisaniu dopasowanego stack<\/code>identyfikatora na wielu serii. Gdy silnik renderuj\u0105cy wykrywa identyczne warto\u015bci ci\u0105gu stack<\/code>to\u017csame warto\u015bci ci\u0105gu na serii z type: 'bar'<\/code>, skumuluje warto\u015bci liczbowe sekwencyjnie wzd\u0142u\u017c pionowej osi Y zamiast renderowa\u0107 nak\u0142adaj\u0105ce si\u0119 lub obok siebie s\u0142upki.<\/p>\n

1. Podstawowa konfiguracja<\/h3>\n

Aby stworzy\u0107 podstawowy wykres s\u0142upkowy skumulowany, zdefiniuj o\u015b X opart\u0105 na kategoriach i przypisz wsp\u00f3ln\u0105 w\u0142a\u015bciwo\u015b\u0107 stack<\/code>do ka\u017cdej serii w tablicy series<\/code>tablicy:<\/p>\n

\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nEdytuj ECharts w 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: ['Bezpo\u015brednie', 'Wyszukiwarki naturalne', 'Reklamy p\u0142atne', 'Odwo\u0142ania']\r\n    },\r\n    xAxis: {\r\n        type: 'category',\r\n        data: ['Pon', 'Wto', '\u015aro', 'Czw', 'Pi\u0105', 'Sob', 'Nied']\r\n    },\r\n    yAxis: {\r\n        type: 'value'\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Bezpo\u015brednie',\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: 'Wyszukiwarki naturalne',\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: 'Reklamy p\u0142atne',\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: 'Odwo\u0142ania',\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>
\nEdytuj ECharts w VPasCode<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
Zaawansowane techniki strukturalne<\/h2>\n
Wykresy s\u0142upkowe skumulowane mog\u0105 by\u0107 dostosowane do pokazywania rozk\u0142ad\u00f3w procentowych lub wybi\u00f3rczego grupowania podgrup w zale\u017cno\u015bci od wymaga\u0144 analitycznych.<\/p>\n
1. S\u0142upki skumulowane znormalizowane do 100%<\/h3>\n
Gdy Twoim g\u0142\u00f3wnym celem jest por\u00f3wnanie stosunk\u00f3w cz\u0119\u015bci zamiast ca\u0142kowitych warto\u015bci liczbowych, przekonwertuj warto\u015bci danych na znormalizowane procenty sumuj\u0105ce si\u0119 do 100% na ka\u017cd\u0105 kategori\u0119:<\/p>\n
\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nEdytuj ECharts w 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: ['Stacja robocza', '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: 'Stacja robocza',\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>
\nEdytuj ECharts w VPasCode<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
2. Grupowanie wielokrotnego stosowania<\/h3>\n
Mo\u017cna po\u0142\u0105czy\u0107 grupowanie i stosowanie w jednym widoku, u\u017cywaj\u0105c r\u00f3\u017cnychstos<\/code>identyfikator\u00f3w w r\u00f3\u017cnych serii. Na przyk\u0142ad por\u00f3wnaj rzeczywiste wyniki z celami, gdzie ka\u017cdy z nich sk\u0142ada si\u0119 z z\u0142o\u017conych podkomponent\u00f3w:<\/p>\n
\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nEdytuj ECharts w 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: ['Produkt A rzeczywisty', 'Produkt B rzeczywisty', 'Produkt A cel', 'Produkt B cel']\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 rzeczywisty',\r\n            type: 'bar',\r\n            stack: 'actual',\r\n            data: [120, 150, 180, 200]\r\n        },\r\n        {\r\n            name: 'Produkt B rzeczywisty',\r\n            type: 'bar',\r\n            stack: 'actual',\r\n            data: [80, 90, 100, 110]\r\n        },\r\n        {\r\n            name: 'Produkt A cel',\r\n            type: 'bar',\r\n            stack: 'target',\r\n            data: [130, 160, 190, 210]\r\n        },\r\n        {\r\n            name: 'Produkt B cel',\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>
\nEdytuj ECharts w VPasCode<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
Dok\u0142adna dostosowanie uk\u0142adu i stylizacji<\/h2>\n
Wyko\u0144czenie wizualne jest kluczowe dla s\u0142upk\u00f3w sklejonych, aby zapewni\u0107, \u017ce odcinki pozostaj\u0105 rozr\u00f3\u017cnialne bez powodowania zm\u0119czenia wizualnego.<\/p>\n
1. Granice odcink\u00f3w i zaokr\u0105glone g\u00f3rne pokrywy<\/h3>\n
Zastosuj czyste granice mi\u0119dzy odcinkami sklejonymi i ogranicz zaokr\u0105glenie naro\u017cnik\u00f3w tylko do najwy\u017cej po\u0142o\u017conego odcinka w stosie:<\/p>\n
\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nEdytuj ECharts w 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: ['Sty', 'Lut', 'Mar', 'Kwi']\r\n    },\r\n    yAxis: {\r\n        type: 'value'\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Warstwa podstawowa',\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: 'Warstwa \u015brodkowa',\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: 'Warstwa g\u00f3rna',\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] \/\/ Zaokr\u0105glone naro\u017cniki tylko na g\u00f3rnej warstwie\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>
\nEdytuj ECharts w VPasCode<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
Strategiczne najlepsze praktyki<\/h2>\n
    \n
  • Ogranicz liczb\u0119 odcink\u00f3w:<\/strong>Unikaj stosowania wi\u0119cej ni\u017c 4 do 5 kategorii na s\u0142upku. Po przekroczeniu tego progu por\u00f3wnywanie \u015brodkowych odcink\u00f3w mi\u0119dzy s\u0142upkami staje si\u0119 wizualnie trudne.<\/li>\n
  • Zakotwicz elementy podstawy na dole:<\/strong>Umie\u015b\u0107 najwa\u017cniejszy wska\u017anik lub najwi\u0119kszy podkomponent jako pierwszy element wserii<\/code>tablicy, aby spoczywa\u0142 bezpo\u015brednio na linii podstawowej, co u\u0142atwia wyr\u00f3wnanie.<\/li>\n
  • U\u017cyj palety o wysokim kontrastzie lub obramowa\u0144:<\/strong>Zastosuj subtelne bia\u0142e linie obramowania mi\u0119dzy odcinkami, aby zachowa\u0107 jasne rozr\u00f3\u017cnienie, gdy s\u0105siaduj\u0105ce kolory maj\u0105 podobne poziomy kontrastu.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
    Podczas oceny strukturalnego rozk\u0142adu na podstawie dyskretnych metryk, Wykres s\u0142upkowy skumulowanyoferta efektywnego sposobu wizualizacji rozk\u0142ad\u00f3w cz\u0119\u015b\u0107-ca\u0142o\u015b\u0107. W przeciwie\u0144stwie do uk\u0142ad\u00f3w grupowanych, kt\u00f3re rozci\u0105gaj\u0105 serie danych poziomo, wykresy skumulowane gromadz\u0105 warto\u015bci pionowo w ramach pojedynczej granicy s\u0142upka. Ten format u\u0142atwia monitorowanie…<\/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 center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","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":"var(--ast-global-color-4)","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":""}}},"ld_collection":[14],"class_list":["post-2074","ld_docs","type-ld_docs","status-publish","hentry","ld_collection-vpascode-docs"],"yoast_head":"\nECharts 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\/pl\/docs\/vpascode-docs\/stacked-column-chart-part-to-whole-composition-guide\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\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\" content=\"https:\/\/www.vpascode.com\/pl\/docs\/vpascode-docs\/stacked-column-chart-part-to-whole-composition-guide\/\" \/>\n<meta property=\"og:site_name\" content=\"VPasCode\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.vpascode.com\/wp-content\/uploads\/2026\/07\/img_6a63311b3b009.png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Szacowany czas czytania\" \/>\n\t<meta name=\"twitter:data1\" content=\"3 minuty\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.vpascode.com\\\/pl\\\/docs\\\/vpascode-docs\\\/stacked-column-chart-part-to-whole-composition-guide\\\/\",\"url\":\"https:\\\/\\\/www.vpascode.com\\\/pl\\\/docs\\\/vpascode-docs\\\/stacked-column-chart-part-to-whole-composition-guide\\\/\",\"name\":\"ECharts Stacked Column Chart | VPasCode Text to Diagram 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