Pareto Chart
These chart types belong to FusionCharts XT.
A Pareto chart, named after Vilfredo Pareto, is a type of chart that combines the column chart with the line chart. The data values in a Pareto chart are represented by columns, which are arranged in descending order of magnitude. The cumulative total of these values is shown by an upward curving line. Pareto charts are used for isolating the key causes of a problem. They can also be used for determining the key factors of success.
The left vertical axis or the primary axis shows the frequency of occurrence, the cost, or other important units of measurement. The right vertical axis or the secondary axis shows the cumulative percentage of the total number of occurrences, the total cost, or the total of a specific unit of measurement.
Note: Click on the bubbles below to know more about different chart components.
- 1 Caption
- 2 Subcaption
- 3 Canvas Area
- 4 X-Axis
- 5 X-Axis Title
- 6 X-Axis Labels
- 7 Y-Axis
- 8 Y-Axis Title
- 9 Data Plot
- 10 Tooltip
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.
The subcaption (also called the chart subtitle) is the subheading of your chart. You can add custom text for sub-caption, as well as configure its font properties.
Canvas area refers to the area in which the chart data is plotted, excluding the area where titles, legends, and axis names are rendered.
X-Axis refers to line or values on a chart that runs horizontally (left-right). Learn more about it here.
It refers to title of the X-axis. Learn more about it here.
X-Axis labels are the names of the data points that are displayed on the X-axis of a chart. Learn more about it here.
Y-Axis refers to line or values on a chart that runs vertically (up-down) through zero. Learn more about them here.
Y-Axis refers to the title of the y-axis. Learn more about it here.
Data plot refers to the columns of the column chart, lines in a line chart, pie/doughnut slices in a pie/doughnut chart.
- You can customize the way your data plot looks using colors, gradients and hover effects using available attributes, learn more about their usage here.
A tooltip is displayed when the mouse cursor hovers over a particular data point. It denotes valuable information about the data plot hovered. here.
The two types of Pareto charts available are:
Pareto 2D
Pareto 3D
Pareto 2D#
In this example, let's create a pareto 2D chart showcasing the late arrivals of the employee by their respective reported cause. The primary y-axis shows the number of occurrences of the employee per month whereas the secondary y-axis shows the cumulative percentage.
To create a pareto chart in 2D follow the steps given below: set the type
attribute to pareto2d
.
In the JSON data, set the attributes and their corresponding values in
"<attributeName>": "<value>"
format.Specify the chart type using the
type
attribute. To render a pareto 2D chart, setpareto2d
.Set the container object using
renderAt
attribute.Specify the dimension of the chart using
width
andheight
attributes.Set the type of data (JSON/XML) you want to pass to the chart object using
dataFormat
attribute.
For a detailed list of attributes, refer to the chart attributes page of multi-series pareto 2D chart.
The pareto chart in 2D for the above code looks like:
{
"chart": {
"caption": "Employee late arrivals by reported cause",
"subCaption": "Last month",
"xAxisName": "Reported Cause",
"pYAxisName": "No. of Occurrence",
"sYAxisname": "Cumulative Percentage",
"showHoverEffect": "1",
"theme": "fusion"
},
"data": [
{
"label": "Traffic",
"value": "5680"
},
{
"label": "Family Engagement",
"value": "1036"
},
{
"label": "Public Transport",
"value": "950"
},
{
"label": "Weather",
"value": "500"
},
{
"label": "Emergency",
"value": "140"
},
{
"label": "Others",
"value": "68"
}
]
}
<chart caption="Employee late arrivals by reported cause" subcaption="Last month" xaxisname="Reported Cause" pyaxisname="No. of Occurrence" syaxisname="Cumulative Percentage" showhovereffect="1" theme="fusion">
<set label="Traffic" value="5680" />
<set label="Family Engagement" value="1036" />
<set label="Public Transport" value="950" />
<set label="Weather" value="500" />
<set label="Emergency" value="140" />
<set label="Others" value="68" />
</chart>
<html>
<head>
<title>My first chart using FusionCharts Suite XT</title>
<script type="text/javascript" src="https://cdn.fusioncharts.com/fusioncharts/latest/fusioncharts.js"></script>
<script type="text/javascript" src="https://cdn.fusioncharts.com/fusioncharts/latest/themes/fusioncharts.theme.fusion.js"></script>
<script type="text/javascript">
FusionCharts.ready(function(){
var chartObj = new FusionCharts({
type: 'pareto2d',
renderAt: 'chart-container',
width: '680',
height: '390',
dataFormat: 'json',
dataSource: {
"chart": {
"caption": "Employee late arrivals by reported cause",
"subCaption": "Last month",
"xAxisName": "Reported Cause",
"pYAxisName": "No. of Occurrence",
"sYAxisname": "Cumulative Percentage",
"showHoverEffect": "1",
"theme": "fusion"
},
"data": [{
"label": "Traffic",
"value": "5680"
}, {
"label": "Family Engagement",
"value": "1036"
}, {
"label": "Public Transport",
"value": "950"
}, {
"label": "Weather",
"value": "500"
}, {
"label": "Emergency",
"value": "140"
}, {
"label": "Others",
"value": "68"
}]
}
}
);
chartObj.render();
});
</script>
</head>
<body>
<div id="chart-container">FusionCharts XT will load here!</div>
</body>
</html>
Click here to edit the pareto 2D chart.
Pareto 3D#
To render a pareto chart in 3D, change the value of the type
attribute from pareto2D
to pareto3D
. The rest of the data structure remains the same.
For a detailed list of attributes, refer to the chart attributes page of multi-series pareto 3D chart.
A simple Pareto 3D chart looks like this:
{
"chart": {
"caption": "Employee late arrivals by reported cause",
"subCaption": "Last month",
"xAxisName": "Reported Cause",
"pYAxisName": "No. of Occurrence",
"sYAxisname": "Cumulative Percentage",
"showHoverEffect": "1",
"theme": "fusion"
},
"data": [
{
"label": "Traffic",
"value": "5680"
},
{
"label": "Family Engagement",
"value": "1036"
},
{
"label": "Public Transport",
"value": "950"
},
{
"label": "Weather",
"value": "500"
},
{
"label": "Emergency",
"value": "140"
},
{
"label": "Others",
"value": "68"
}
]
}
<chart caption="Employee late arrivals by reported cause" subcaption="Last month" xaxisname="Reported Cause" pyaxisname="No. of Occurrence" syaxisname="Cumulative Percentage" showhovereffect="1" theme="fusion">
<set label="Traffic" value="5680" />
<set label="Family Engagement" value="1036" />
<set label="Public Transport" value="950" />
<set label="Weather" value="500" />
<set label="Emergency" value="140" />
<set label="Others" value="68" />
</chart>
<html>
<head>
<title>My first chart using FusionCharts Suite XT</title>
<script type="text/javascript" src="https://cdn.fusioncharts.com/fusioncharts/latest/fusioncharts.js"></script>
<script type="text/javascript" src="https://cdn.fusioncharts.com/fusioncharts/latest/themes/fusioncharts.theme.fusion.js"></script>
<script type="text/javascript">
FusionCharts.ready(function(){
var chartObj = new FusionCharts({
type: 'pareto3d',
renderAt: 'chart-container',
width: '680',
height: '390',
dataFormat: 'json',
dataSource: {
"chart": {
"caption": "Employee late arrivals by reported cause",
"subCaption": "Last month",
"xAxisName": "Reported Cause",
"pYAxisName": "No. of Occurrence",
"sYAxisname": "Cumulative Percentage",
"showHoverEffect": "1",
"theme": "fusion"
},
"data": [{
"label": "Traffic",
"value": "5680"
}, {
"label": "Family Engagement",
"value": "1036"
}, {
"label": "Public Transport",
"value": "950"
}, {
"label": "Weather",
"value": "500"
}, {
"label": "Emergency",
"value": "140"
}, {
"label": "Others",
"value": "68"
}]
}
});
chartObj.render();
});
</script>
</head>
<body>
<div id="chart-container">FusionCharts XT will load here!</div>
</body>
</html>
Click here to edit the pareto 3D chart.
The data for the above two charts is single series. Values provided are only for the column plots. The percentage values for the line are automatically calculated and added to the chart.
Now, let's customize the appearance and properties of the charts.
Display Values for the Line Series#
By default, the auto-generated percentage values for the line chart are not rendered. To specify the percentage data values for the line chart, set the showLineValues
attribute to 1
.
Refer to the code given below:
{
"chart": {
"showLineValues": "1"
},
}
A pareto chart configured to render the percentage values for the line chart looks like this:
Click here to edit the pareto 2D chart.
Customize the Line Dataset#
In a pareto chart, you can customize the cosmetic of the line rendered. Given below are the cosmetic which can be applied to customize the line dataset.
Set the hex color code to
lineColor
attribute to specify the color of the rendered line.Specify the thickness of the line (in pixels), using
lineThinkness
attribute.Set the transparency of the line segments using
lineAlpha
attribute. This attribute takes values between0
(transparent) and100
(opaque).Set the value of
lineDashed
attribute as1
to render the line segments as dashed lines. Setting this attribute to0
will render them as whole lines.If the line segments are rendered as dashed lines, set the length of each dash using
lineDashLen
attribute.If the line segments are rendered as dashed lines, set the gap between each dash using
lineDashGap
attribute.
Refer to the code given below:
{
"chart": {
"lineColor": "#8e0000",
"lineThickness": "2",
"lineAlpha": "80",
"lineDashed": "1",
"lineDashLen": "5",
"lineDashGap": "3"
},
}
A pareto chart with the line segments customized looks like this:
Click here to edit the pareto 2D chart.
Hide Secondary Axis Values#
Depending on the use case, hide the secondary y-axis of the pareto chart by following the steps given below:
Specify the
showSecondaryLimits
attribute to set the upper and lower limits for the secondary y-axis. Setting this attribute to0
will hide the limits, whereas setting it to1
(default) will show them.Specify the
showDivLineSecondaryValue
attribute to set whether the divisional line values for the secondary y-axis will be shown. Setting this attribute to0
will hide the values whereas setting it to1
(default) will show them.
Refer to the code given below:
{
"chart": {
"showSecondaryLimits": "0",
"showDivLineSecondaryValue": "0"
},
}
A pareto chart with hidden secondary y-axis looks like:
Click here to edit the pareto 2D chart.