Side-by-Side Stacked Bar
Documentation
In this example, side-by-side mode for the stacked bar series type is used to group bar series based on their stack property value. Bar series with common characteristics are displayed and stacked in one column.
www.geohive.com
window.onload = function() {
var viewModel = {
chartOptions: {
dataSource: dataSource,
commonSeriesSettings: {
argumentField: "state",
type: "stackedBar"
},
series: [
{ valueField: "maleyoung", name: "Male: 0-14", stack: "male" },
{ valueField: "malemiddle", name: "Male: 15-64", stack: "male" },
{ valueField: "maleolder", name: "Male: 65 and older", stack: "male" },
{ valueField: "femaleyoung", name: "Female: 0-14", stack: "female" },
{ valueField: "femalemiddle", name: "Female: 15-64", stack: "female" },
{ valueField: "femaleolder", name: "Female: 65 and older", stack: "female" }
],
legend: {
horizontalAlignment: "right",
position: "inside",
border: { visible: true }
},
valueAxis: {
title: {
text: "Populations, millions"
}
},
title: "Population: Age Structure",
"export": {
enabled: true
},
tooltip: {
enabled: true
}
}
};
ko.applyBindings(viewModel, document.getElementById("chart-demo"));
};
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<body class="dx-viewport">
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<div id="chart-demo">
<div id="chart" data-bind="dxChart: chartOptions"></div>
</div>
</div>
</body>
</html>
#chart {
height: 440px;
}
var dataSource = [{
state: "USA",
maleyoung: 29.956,
malemiddle: 90.354,
maleolder: 14.472,
femaleyoung: 28.597,
femalemiddle: 91.827,
femaleolder: 20.362
}, {
state: "Brazil",
maleyoung: 25.607,
malemiddle: 55.793,
maleolder: 3.727,
femaleyoung: 24.67,
femalemiddle: 57.598,
femaleolder: 5.462
}, {
state: "Russia",
maleyoung: 13.493,
malemiddle: 48.983,
maleolder: 5.802,
femaleyoung: 12.971,
femalemiddle: 52.14,
femaleolder: 12.61
}, {
state: "Japan",
maleyoung: 9.575,
malemiddle: 43.363,
maleolder: 9.024,
femaleyoung: 9.105,
femalemiddle: 42.98,
femaleolder: 12.501
}, {
state: "Mexico",
maleyoung: 17.306,
malemiddle: 30.223,
maleolder: 1.927,
femaleyoung: 16.632,
femalemiddle: 31.868,
femaleolder: 2.391
}, {
state: "Germany",
maleyoung: 6.679,
malemiddle: 28.638,
maleolder: 5.133,
femaleyoung: 6.333,
femalemiddle: 27.693,
femaleolder: 8.318
}, {
state: "United Kindom",
maleyoung: 5.816,
malemiddle: 19.622,
maleolder: 3.864,
femaleyoung: 5.519,
femalemiddle: 19.228,
femaleolder: 5.459
}];