{"id":2064,"date":"2026-07-27T02:00:51","date_gmt":"2026-07-27T02:00:51","guid":{"rendered":"https:\/\/www.vpascode.com\/pl\/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\/pl\/docs\/vpascode-docs\/scatter-chart-bivariate-distribution-and-point-clustering-guide\/","title":{"rendered":"Wykres rozproszenia: rozk\u0142ad dwuwymiarowy i skupianie punkt\u00f3w"},"content":{"rendered":"

Podczas badania relacji lub korelacji mi\u0119dzy dwiema zmiennymi ci\u0105g\u0142ymi, Wykres rozproszenia<\/strong> (lub wykres rozproszenia) jest g\u0142\u00f3wnym narz\u0119dziem analitycznym. Przy u\u017cyciu wykresu punkt\u00f3w na dwuwymiarowej siatce opartej na liczbowych wsp\u00f3\u0142rz\u0119dnych X i Y, wykresy rozproszenia pomagaj\u0105 odkry\u0107 skupienia, warto\u015bci odstaj\u0105ce, trendy i korelacje<\/em> na z\u0142o\u017conych zestawach danych, takich jak wydatki na marketing w por\u00f3wnaniu do generowania potencjalnych klient\u00f3w lub do\u015bwiadczenie pracownik\u00f3w w por\u00f3wnaniu do wynagrodzenia.<\/p>\n

Zasady dzia\u0142ania wykres\u00f3w rozproszenia<\/h2>\n

W przeciwie\u0144stwie do wykres\u00f3w s\u0142upkowych lub liniowych opartych na kategoriach, wykresy rozproszenia wykorzystuj\u0105 osie warto\u015bci liczbowych dla obu wymiar\u00f3w. W Apache ECharts ustawienie type: 'scatter'<\/code> oczekuje danych sformatowanych jako tablice wsp\u00f3\u0142rz\u0119dnych liczbowych o dw\u00f3ch elementach [x, y]<\/code> lub obiekty danych przyporz\u0105dkowane do liczbowych xAxis<\/code> i yAxis<\/code> konfiguracji.<\/p>\n

1. Podstawowa konfiguracja<\/h3>\n

Aby stworzy\u0107 podstawowy wykres rozproszenia, zdefiniuj type: 'value'<\/code> na obu osiach i podaj pary wsp\u00f3\u0142rz\u0119dnych liczbowych w tablicy danych serii:<\/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: 'item',\r\n        formatter: 'X: {c0}rnY: {c1}'\r\n    },\r\n    xAxis: {\r\n        type: 'value',\r\n        name: 'Wydatki na reklam\u0119 ($k)'\r\n    },\r\n    yAxis: {\r\n        type: 'value',\r\n        name: 'Konwersje'\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
\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 rozproszenia mog\u0105 uwzgl\u0119dnia\u0107 dynamiczne zmiany rozmiaru, aby przedstawi\u0107 trzeci zmienn\u0105 (wykres p\u0119cherzykowy) lub wy\u015bwietla\u0107 nak\u0142adki klastr\u00f3w dla wielu kategorii.<\/p>\n
1. Zmienne rozmiary punkt\u00f3w (efekt p\u0119cherzyka)<\/h3>\n
Przeka\u017c funkcj\u0119 niestandardow\u0105 lub mapowanie warto\u015bci danych do symbolSize<\/code> aby zakodowa\u0107 trzeci metryk ilo\u015bciowy w rozmiarze punktu:<\/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: 'item',\r\n        formatter: function (param) {\r\n            return 'Wydatki: $' + param.data[0] + 'krn' +\r\n                   'Przychody: $' + 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: 'Wydatki'\r\n    },\r\n    yAxis: {\r\n        type: 'value',\r\n        name: 'Przychody'\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Kampanie',\r\n            type: 'scatter',\r\n            symbolSize: function (data) {\r\n                return data[2] * 5; \/\/ Skaluj rozmiar kropki wed\u0142ug trzeciej zmiennej\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>
\nEdytuj ECharts w VPasCode<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
Dostosowanie uk\u0142adu i stylizacji<\/h2>\n
Kontrola przezroczysto\u015bci znacznik\u00f3w i dodawanie linii trendu celu zapobiega przekszta\u0142caniu si\u0119 g\u0119stych grup w jednolite, nieczytelne plamy wizualne.<\/p>\n
1. Przezroczyste znaczniki i stylizacja grup<\/h3>\n
Zastosowanie obramowa\u0144 i p\u00f3\u0142przezroczystych wype\u0142nie\u0144 element\u00f3w pozwala utrzyma\u0107 widoczno\u015b\u0107 punkt\u00f3w danych na\u0142o\u017conych na siebie w grupach o wysokiej g\u0119sto\u015bci:<\/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    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 \/\/ Automatyczne skalowanie osi min\/max, aby dopasowa\u0107 dane w spos\u00f3b zwarty\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>
\nEdytuj ECharts w VPasCode<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
Strategiczne najlepsze praktyki<\/h2>\n
    \n
  • W\u0142\u0105cz scale: true<\/code> na osiach liczbowych:<\/strong> Ustaw scale: true<\/code> na obu osiach liczbowych, aby wykres automatycznie przybli\u017ca\u0142 odpowiedni zakres danych zamiast wymusza\u0107 pocz\u0105tek w (0,0)<\/code>.<\/li>\n
  • U\u017cyj przezroczysto\u015bci wype\u0142nienia dla nak\u0142adaj\u0105cych si\u0119 punkt\u00f3w:<\/strong> Podczas wykresowania setek punkt\u00f3w zmniejsz przezroczysto\u015b\u0107 wype\u0142nienia do oko\u0142o 0,4\u20130,6, aby g\u0119ste obszary nak\u0142adania si\u0119 wydawa\u0142y si\u0119 naturalnie ciemniejsze.<\/li>\n
  • Daj etykiety osi z kontekstem:<\/strong> Zawsze jasno oznacz osie X i Y jednostkami pomiarowymi (np. \u201e$ w tys.\u201d lub \u201eOp\u00f3\u017anienie w ms\u201d), aby warto\u015bci by\u0142y od razu jasne bez sprawdzania podpowiedzi.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
    Podczas badania relacji lub korelacji mi\u0119dzy dwiema zmiennymi ci\u0105g\u0142ymi, Wykres rozproszenia (lub wykres rozproszenia) jest g\u0142\u00f3wnym narz\u0119dziem analitycznym. Przy u\u017cyciu wykresu punkt\u00f3w na dwuwymiarowej siatce opartej na liczbowych wsp\u00f3\u0142rz\u0119dnych X i Y, wykresy rozproszenia pomagaj\u0105 odkry\u0107 skupienia, warto\u015bci odstaj\u0105ce, trendy…<\/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 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-2064","ld_docs","type-ld_docs","status-publish","hentry","ld_collection-vpascode-docs"],"yoast_head":"\nECharts 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\/pl\/docs\/vpascode-docs\/scatter-chart-bivariate-distribution-and-point-clustering-guide\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\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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