{"id":1274,"date":"2026-07-24T09:27:56","date_gmt":"2026-07-24T09:27:56","guid":{"rendered":"https:\/\/www.vpascode.com\/cn\/docs\/uncategorized\/echarts-playbook\/stacked-column-chart-category-totals-and-part-to-whole-composition\/"},"modified":"2026-07-30T01:29:17","modified_gmt":"2026-07-30T01:29:17","slug":"stacked-column-chart-part-to-whole-composition-guide","status":"publish","type":"ld_docs","link":"https:\/\/www.vpascode.com\/cn\/docs\/vpascode-docs\/echarts-playbook\/stacked-column-chart-part-to-whole-composition-guide\/","title":{"rendered":"Stacked Column Chart: Part-to-Whole Composition"},"content":{"rendered":"

When evaluating structural breakdown across discrete metrics, the Stacked Column Chart<\/strong> offers an efficient way to visualize part-to-whole distributions. Unlike grouped layouts that spread data series horizontally, stacked charts accumulate values vertically within a single column boundary. This format makes it simple to monitor total category growth while tracking the changing proportions of internal sub-components<\/em>, such as device traffic split by operating system or quarterly expense breakdowns across departments.<\/p>\n

The Mechanics of Stacked Columns<\/h2>\n

Stacked column charts rely on assigning a matching stack<\/code> identifier across multiple series. When the rendering engine detects identical stack<\/code> string values on a series with type: 'bar'<\/code>, it stacks the numerical values sequentially along the vertical Y-axis rather than rendering overlapping or side-by-side columns.<\/p>\n

1. Essential Setup<\/h3>\n

To build a basic stacked column chart, define a category-based X-axis and apply a common stack<\/code> property to each series in your series<\/code> array:<\/p>\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: ['Direct', 'Organic Search', 'Paid Ads', 'Referral']\r\n    },\r\n    xAxis: {\r\n        type: 'category',\r\n        data: ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']\r\n    },\r\n    yAxis: {\r\n        type: 'value'\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Direct',\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: 'Organic Search',\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: 'Paid Ads',\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: 'Referral',\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>\n
 <\/p>\n
Advanced Structural Techniques<\/h2>\n
Stacked column charts can be tailored to show percentage distributions or selective sub-grouping depending on your analytical requirements.<\/p>\n
1. 100% Normalized Stacked Columns<\/h3>\n
When your primary goal is to compare proportion ratios rather than absolute numerical totals, convert your data values into normalized percentages totaling 100% per category:<\/p>\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: ['Desktop', '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: 'Desktop',\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>\n
 <\/p>\n
2. Multi-Stack Grouping<\/h3>\n
You can combine grouping and stacking in a single view by using distinct stack<\/code> identifiers across series. For example, compare actual vs. target totals, where each is made up of stacked sub-components:<\/p>\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: ['Product A Actual', 'Product B Actual', 'Product A Target', 'Product B Target']\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: 'Product A Actual',\r\n            type: 'bar',\r\n            stack: 'actual',\r\n            data: [120, 150, 180, 200]\r\n        },\r\n        {\r\n            name: 'Product B Actual',\r\n            type: 'bar',\r\n            stack: 'actual',\r\n            data: [80, 90, 100, 110]\r\n        },\r\n        {\r\n            name: 'Product A Target',\r\n            type: 'bar',\r\n            stack: 'target',\r\n            data: [130, 160, 190, 210]\r\n        },\r\n        {\r\n            name: 'Product B Target',\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>\n
 <\/p>\n
Fine-Tuning Layout and Styling<\/h2>\n
Visual polish is crucial for stacked columns to ensure segments remain distinguishable without causing visual fatigue.<\/p>\n
1. Segment Boundaries and Rounded Top Caps<\/h3>\n
Apply clean border separators between stacked segments and restrict corner rounding to only the top-most series segment in the stack:<\/p>\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: ['Jan', 'Feb', 'Mar', 'Apr']\r\n    },\r\n    yAxis: {\r\n        type: 'value'\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Base Layer',\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: 'Middle Layer',\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: 'Top Layer',\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] \/\/ Rounded corners on top segment only\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>\n
 <\/p>\n
Strategic Best Practices<\/h2>\n
    \n
  • Limit Segment Count:<\/strong> Avoid stacking more than 4 to 5 categories per column. Beyond this threshold, comparing middle segments across columns becomes visually challenging.<\/li>\n
  • Anchor Baseline Items at the Bottom:<\/strong> Place your most important metric or largest sub-component as the first item in the series<\/code> array so it rests directly on the baseline for easy alignment.<\/li>\n
  • Use High-Contrast Palette or Borders:<\/strong> Apply subtle white border lines between segments to maintain clear distinction when adjacent colors have similar contrast levels.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
    When evaluating structural breakdown acr…<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":1254,"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 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