- Back to Docs
- Get Started
- Integrations
- Configuring your Charts
- List of Charts
- Single Series Charts
- Pie
- Doughnut
- Column
- Bar
- Area
- Line
- Stacked Charts
- Stacked Column
- Stacked Bar
- Stacked Area
- Combination Charts
- Combination
- XY Plot Charts
- Scatter
- Bubble
- Gauges
- Angular Gauge
- Other Charts
- Funnel
- Pyramid
- Heatmap
- Sankey
- Chord
- Radar
- Timeseries
- Chart Attributes
- API
- Options & Properties
- Methods
- Events
- Other References
- Concepts
- Browser and Technology Support
- Change Log
- License Activation
Stacked Bar Chart
In Stacked Bar charts, plot datasets are next to each other. Stacked charts help in displaying the cumulative magnitude of two or more data series. They help in representing a data value as a sum of two or more values. Each data series can be distinguished by the color of its section in the stack.
Caption
The caption (also called the chart title) is the heading of your chart. You can add custom text for the caption, as well as configure its font properties and cosmetics. Learn more about it
Data Plot
Data plot refers to the pie slices in a pie chart, columns of the column chart, lines in a line chart.
Legend
A legend is a chart element used to display the series name for each dataset, in case of multi-series or combination charts. Legends are used to correlate a data plot to its series name using its color.
Tooltip
A tooltip is displayed when the mouse cursor hovers over a particular data point. It denotes valuable information about the data plot hovered.
X-Axis
X-Axis refers to a line on a chart that runs horizontally (left-right).
Y-Axis
Y-Axis refers to line or values on a chart that runs vertically (up-down) through zero.
X-Axis Labels
X-Axis labels are the names of the data points that are displayed on the x-axis of a chart.
Export Menu
Export menu that appears on top-right of the chart, it offers different options to export a chart.
You can enable or disable chart export using attributeexportEnabled
. Refer to Exporting Charts to learn
more.
Create a Stacked Column Chart
For a detailed list of attributes, refer to the Stacked Column Chart attributes page.{
"chart": {
"caption": "Split of visitors by Channels & Gender",
"placevaluesinside": "1",
"showvalues": "0",
"plottooltext": "$dataValue $seriesName visitors",
"theme": "froala"
},
"categories": [
{
"category": [
{
"label": "Organic"
},
{
"label": "Offline Stores"
},
{
"label": "Email Campaigns"
},
{
"label": "Social Events"
},
{
"label": "Paid Channels"
}
]
}
],
"dataset": [
{
"seriesname": "Male",
"data": [
{
"value": "17000"
},
{
"value": "19500"
},
{
"value": "12500"
},
{
"value": "14500"
},
{
"value": "17500"
}
]
},
{
"seriesname": "Female",
"data": [
{
"value": "25400"
},
{
"value": "29800"
},
{
"value": "21800"
},
{
"value": "19500"
},
{
"value": "21200"
}
]
}
]
}
<html>
<head>
  <title>My first chart using FroalaCharts</title>
Â
<script src=https://unpkg.com/[email protected]/froalacharts.js></script>
<script src="https://unpkg.com/[email protected]/themes/froalacharts.theme.froala.js"></script>
  <script type="text/javascript">
var data = {
chart: {
caption: "Split of visitors by Channels & Gender",
placevaluesinside: "1",
showvalues: "0",
plottooltext: "$dataValue $seriesName visitors",
theme: "froala"
},
categories: [
{
category: [
{
label: "Organic"
},
{
label: "Offline Stores"
},
{
label: "Email Campaigns"
},
{
label: "Social Events"
},
{
label: "Paid Channels"
}
]
}
],
dataset: [
{
seriesname: "Male",
data: [
{
value: "17000"
},
{
value: "19500"
},
{
value: "12500"
},
{
value: "14500"
},
{
value: "17500"
}
]
},
{
seriesname: "Female",
data: [
{
value: "25400"
},
{
value: "29800"
},
{
value: "21800"
},
{
value: "19500"
},
{
value: "21200"
}
]
}
]
};
FroalaCharts.ready(function () {
new FroalaCharts({
id: "chart_1",
type: 'stackedbar',
renderAt: 'ft',
width: '800',
height: '500',
dataSource: data
}).render();
});
</script>
</head>
<div id="msg" class="mb-20"> Chart data in the selected format will be displayed here.</div>
<body>
<div id="ft">FroalaCharts will render here</div>
</body>
</html>