Step Line Chart
This chart type belongs to PowerCharts XT.
A step line chart is used to visualize trends for a particular event which is not continuous in nature. It is a specialized line chart which, unlike the usual line charts, does not use the shortest distance to connect two data points; instead, it uses vertical and horizontal lines to connect the data points in a series to form a step-like progression.
Essentially, trends are quite apparent from the general slope of a line chart. However, when the lines take distorted shapes for a specific segment of data points, it becomes very difficult to determine the drift. This is where the significance of a step line chart comes in. For a given set of data, where a line chart shows the generic deviation of the data points, a step line chart not only enables you to compare the magnitude and change in values at different points of the same series but also helps you discern the intermittent pattern of the trend at the same time.
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 Legend
- 11 Tooltip
- 12 Export Menu
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 sub-caption (also called the chart subtitle) is the sub-heading 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.
X-Axis 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 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.
- You can customize look and feel of legend like increase/decrease legend icon size, define custom legend icons, legend scroll etc. Learn more about it here.
- You can customize legend position on the chart either to right or bottom of the chart. Learn more about it here.
- You can highlight data plots by hovering over corresponding legend item using plot highlight effect feature, Learn more about it 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.
Export menu is hamburger menu that appears on top-right of the chart by hovering on which you can export the chart using available options.
- You can enable or disable chart export using attribute exportEnabled, learn more about its usage here.
- You can also define export mode like server, client, auto for chart export, learn more about them here.
- Look and feel of this menu can also be customized using available attributes, learn more about them here.
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 Legend
- 11 Tooltip
- 12 Export Menu
- 13 Data Values
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 sub-caption (also called the chart subtitle) is the sub-heading 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.
X-Axis 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 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.
- You can customize look and feel of legend like increase/decrease legend icon size, define custom legend icons, legend scroll etc. Learn more about it here.
- You can customize legend position on the chart either to right or bottom of the chart. Learn more about it here.
- You can highlight data plots by hovering over corresponding legend item using plot highlight effect feature, Learn more about it 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.
Export menu is hamburger menu that appears on top-right of the chart by hovering on which you can export the chart using available options.
- You can enable or disable chart export using attribute exportEnabled, learn more about its usage here.
- You can also define export mode like server, client, auto for chart export, learn more about them here.
- Look and feel of this menu can also be customized using available attributes, learn more about them here.
Data values are plot values, i.e. values of each data plot (line, column, bar, pie) displayed on the chart. Learn more about it here.
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 Trendline
- 10 Data Plot
- 11 Legend
- 12 Tooltip
- 13 Export Menu
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 sub-caption (also called the chart subtitle) is the sub-heading 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.
X-Axis 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.
Trend lines are reference horizontal or vertical lines which help to interpret data.. 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 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.
- You can customize look and feel of legend like increase/decrease legend icon size, define custom legend icons, legend scroll etc. Learn more about it here.
- You can customize legend position on the chart either to right or bottom of the chart. Learn more about it here.
- You can highlight data plots by hovering over corresponding legend item using plot highlight effect feature, Learn more about it 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.
Export menu is hamburger menu that appears on top-right of the chart by hovering on which you can export the chart using available options.
- You can enable or disable chart export using attribute exportEnabled, learn more about its usage here.
- You can also define export mode like server, client, auto for chart export, learn more about them here.
- Look and feel of this menu can also be customized using available attributes, learn more about them here.
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 Trendline
- 10 Data Plot
- 11 Anchors
- 12 Crossline
- 13 Legend
- 14 Tooltip
- 15 Export Menu
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 sub-caption (also called the chart subtitle) is the sub-heading 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.
X-Axis 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.
Trend lines are reference horizontal or vertical lines which help to interpret data.. 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.
Each data point in a line/spline/area chart is represented by an anchor. Anchors help to identify the data point in the chart easily. Learn more about it here.
Cross line is a vertical line/area used as a quick reference for data plots. Learn more about it here.
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.
- You can customize look and feel of legend like increase/decrease legend icon size, define custom legend icons, legend scroll etc. Learn more about it here.
- You can customize legend position on the chart either to right or bottom of the chart. Learn more about it here.
- You can highlight data plots by hovering over corresponding legend item using plot highlight effect feature, Learn more about it 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.
Export menu is hamburger menu that appears on top-right of the chart by hovering on which you can export the chart using available options.
- You can enable or disable chart export using attribute exportEnabled, learn more about its usage here.
- You can also define export mode like server, client, auto for chart export, learn more about them here.
- Look and feel of this menu can also be customized using available attributes, learn more about them here.
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 Trendline
- 10 Data Plot
- 11 Anchors
- 12 Legend
- 13 Tooltip
- 14 Export Menu
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 sub-caption (also called the chart subtitle) is the sub-heading 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.
X-Axis 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.
Trend lines are reference horizontal or vertical lines which help to interpret data.. 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.
Each data point in a line/spline/area chart is represented by an anchor. Anchors help to identify the data point in the chart easily. Learn more about it here.
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.
- You can customize look and feel of legend like increase/decrease legend icon size, define custom legend icons, legend scroll etc. Learn more about it here.
- You can customize legend position on the chart either to right or bottom of the chart. Learn more about it here.
- You can highlight data plots by hovering over corresponding legend item using plot highlight effect feature, Learn more about it 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.
Export menu is hamburger menu that appears on top-right of the chart by hovering on which you can export the chart using available options.
- You can enable or disable chart export using attribute exportEnabled, learn more about its usage here.
- You can also define export mode like server, client, auto for chart export, learn more about them here.
- Look and feel of this menu can also be customized using available attributes, learn more about them here.
Note: Click on the bubbles below to know more about different chart components.

- 1 Caption
- 2 Subcaption
- 3 Data Plot
- 4 Data Labels
- 5 Data Values
- 6 Legend
- 7 Tooltip
- 8 Export Menu
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 sub-caption (also called the chart subtitle) is the sub-heading of your chart. You can add custom text for sub-caption, as well as configure its font properties.
Data plot refers to the pie/doughnut slices in a pie/doughnut chart, columns of the column chart, lines in a line chart.
- You can customize the data plots, learn more about it here.
Data labels refers to the lables associated with each pie slcie. Learn more about it here.
Data values refers to values associated with each pie slcie. Learn more about it here.
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.
- You can customize look and feel of legend like increase/decrease legend icon size, define custom legend icons, legend scroll etc. Learn more about it here.
- You can customize legend position on the chart either to right or bottom of the chart. Learn more about it here.
- You can highlight data plots by hovering over corresponding legend item using plot highlight effect feature, Learn more about it 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.
Export menu is hamburger menu that appears on top-right of the chart by hovering on which you can export the chart using available options.
- You can enable or disable chart export using attribute exportEnabled, learn more about its usage here.
- You can also define export mode like server, client, auto for chart export, learn more about them here.
- Look and feel of this menu can also be customized using available attributes, learn more about them here.
Note: Click on the bubbles below to know more about different chart components.

- 1 Caption
- 2 Subcaption
- 3 Data Plot
- 4 Data Labels
- 5 Data Values
- 6 Legend
- 7 Tooltip
- 8 Export Menu
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 sub-caption (also called the chart subtitle) is the sub-heading of your chart. You can add custom text for sub-caption, as well as configure its font properties.
Data plot refers to the pie/doughnut slices in a pie/doughnut chart, columns of the column chart, lines in a line chart.
- You can customize the data plots, learn more about it here.
Data labels refers to the lables associated with each pie slcie. Learn more about it here.
Data values refers to values associated with each pie slcie. Learn more about it here.
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.
- You can customize look and feel of legend like increase/decrease legend icon size, define custom legend icons, legend scroll etc. Learn more about it here.
- You can customize legend position on the chart either to right or bottom of the chart. Learn more about it here.
- You can highlight data plots by hovering over corresponding legend item using plot highlight effect feature, Learn more about it 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.
Export menu is hamburger menu that appears on top-right of the chart by hovering on which you can export the chart using available options.
- You can enable or disable chart export using attribute exportEnabled, learn more about its usage here.
- You can also define export mode like server, client, auto for chart export, learn more about them here.
- Look and feel of this menu can also be customized using available attributes, learn more about them here.
Let's create our first step line chart where we will compare the revenue earned with the expense incurred in the last year. The step-like composition of the data segments gives an accurate representation of the revenue and expense for each month.
To create a multi-series step line chart follow the steps given below:
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 step-line chart, setmsstepline
.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 step-line chart.
A multi-series step line chart looks like this:
{
"chart": {
"theme": "fusion",
"caption": "Revenue Vs Expense",
"subCaption": "Last year",
"xaxisname": "Month",
"yaxisname": "Amount (In USD)",
"showXAxisLine": "1",
"numberprefix": "$",
"drawverticaljoints": "1",
"useforwardsteps": "0",
"divlineAlpha": "100"
},
"categories": [
{
"category": [
{
"label": "Jan"
},
{
"label": "Feb"
},
{
"label": "Mar"
},
{
"label": "Apr"
},
{
"label": "May"
},
{
"label": "Jun"
},
{
"label": "Jul"
},
{
"label": "Aug"
},
{
"label": "Sep"
},
{
"label": "Oct"
},
{
"label": "Nov"
},
{
"label": "Dec"
}
]
}
],
"dataset": [
{
"seriesname": "Revenue",
"linethickness": "3",
"anchorradius": "3",
"data": [
{
"value": "374000"
},
{
"value": "350000"
},
{
"value": "380000"
},
{
"value": "340000"
},
{
"value": "398000"
},
{
"value": "326000"
},
{
"value": "448000"
},
{
"value": "379000"
},
{
"value": "355000"
},
{
"value": "374000"
},
{
"value": "348000"
},
{
"value": "402000"
}
]
},
{
"seriesname": "Expense",
"linethickness": "3",
"anchorradius": "3",
"data": [
{
"value": "100000"
},
{
"value": "115000"
},
{
"value": "135000"
},
{
"value": "150000"
},
{
"value": "110000"
},
{
"value": "98000"
},
{
"value": "118000"
},
{
"value": "197000"
},
{
"value": "228000"
},
{
"value": "249000"
},
{
"value": "229000"
},
{
"value": "208000"
}
]
}
]
}
<chart theme="fusion" caption="Revenue Vs Expense" subcaption="Last year" xaxisname="Month" yaxisname="Amount (In USD)" showxaxisline="1" numberprefix="$" drawverticaljoints="1" useforwardsteps="0" divlinealpha="100">
<categories>
<category label="Jan" />
<category label="Feb" />
<category label="Mar" />
<category label="Apr" />
<category label="May" />
<category label="Jun" />
<category label="Jul" />
<category label="Aug" />
<category label="Sep" />
<category label="Oct" />
<category label="Nov" />
<category label="Dec" />
</categories>
<dataset seriesname="Revenue" linethickness="3" anchorradius="3">
<set value="374000" />
<set value="350000" />
<set value="380000" />
<set value="340000" />
<set value="398000" />
<set value="326000" />
<set value="448000" />
<set value="379000" />
<set value="355000" />
<set value="374000" />
<set value="348000" />
<set value="402000" />
</dataset>
<dataset seriesname="Expense" linethickness="3" anchorradius="3">
<set value="100000" />
<set value="115000" />
<set value="135000" />
<set value="150000" />
<set value="110000" />
<set value="98000" />
<set value="118000" />
<set value="197000" />
<set value="228000" />
<set value="249000" />
<set value="229000" />
<set value="208000" />
</dataset>
</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: 'msstepline',
renderAt: 'chart-container',
width: '680',
height: '390',
dataFormat: 'json',
dataSource: {
"chart": {
"theme": "fusion",
"caption": "Revenue Vs Expense",
"subCaption": "Last year",
"xaxisname": "Month",
"yaxisname": "Amount (In USD)",
"showXAxisLine": "1",
"numberprefix": "$",
"drawverticaljoints": "1",
"useforwardsteps": "0",
"divlineAlpha": "100"
},
"categories": [{
"category": [{
"label": "Jan"
}, {
"label": "Feb"
}, {
"label": "Mar"
}, {
"label": "Apr"
}, {
"label": "May"
}, {
"label": "Jun"
}, {
"label": "Jul"
}, {
"label": "Aug"
}, {
"label": "Sep"
}, {
"label": "Oct"
}, {
"label": "Nov"
}, {
"label": "Dec"
}]
}],
"dataset": [{
"seriesname": "Revenue",
"linethickness": "3",
"anchorradius": "3",
"data": [{
"value": "374000"
}, {
"value": "350000"
}, {
"value": "380000"
}, {
"value": "340000"
}, {
"value": "398000"
}, {
"value": "326000"
}, {
"value": "448000"
}, {
"value": "379000"
}, {
"value": "355000"
}, {
"value": "374000"
}, {
"value": "348000"
}, {
"value": "402000"
}]
}, {
"seriesname": "Expense",
"linethickness": "3",
"anchorradius": "3",
"data": [{
"value": "100000"
}, {
"value": "115000"
}, {
"value": "135000"
}, {
"value": "150000"
}, {
"value": "110000"
}, {
"value": "98000"
}, {
"value": "118000"
}, {
"value": "197000"
}, {
"value": "228000"
}, {
"value": "249000"
}, {
"value": "229000"
}, {
"value": "208000"
}]
}]
}
}
);
chartObj.render();
});
</script>
</head>
<body>
<div id="chart-container">FusionCharts XT will load here!</div>
</body>
</html>
The data structure above is similar to that of any multi-series chart in the FusionCharts Suite XT, except for the type attribute.
Click here to edit the step line chart.
Hide the Vertical Lines#
By default, the step line chart displays the vertical joins - vertical lines that run through the edges of the horizontal planes thereby joining them in different steps. However, you can also disjoin the horizontal segments by hiding the vertical lines from the chart.
To hide the vertical lines in your chart, set the drawVerticalJoins
attribute to 0
.
Refer to the code given below:
{
"chart": {
"drawVerticalJoins": "0"
}
}
A step line chart rendered without the vertical joins looks like this:
Click here to edit the step line chart.
Use Forward Steps#
For a step line chart, you can configure the direction of progression of the line segments. By default, the chart is rendered in the forward progressive mode - the line plots are horizontally depicted, and then vertical lines are drawn to connect the data plots. To disable the forward progressive mode, set the useForwardSteps
attribute to 0
.
Refer to the code given below:
{
"chart": {
"useForwardSteps": "0"
},
}
A step line chart rendered with the forward progressive mode disabled looks like this:
Click here to edit the step line chart.
Compare this chart with the step line chart shown above and see the difference in how each is rendered.