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Configuring Spark Column Chart
FusionCharts Suite XT allows you to customize several cosmetic and functional properties for the spark column chart.
In this section, you will be shown how you can:
-
Configure period blocks
-
Configure the high and low columns
-
Add trend-lines/trend-zones
-
Configure hover effects
Configuring Period Blocks for the Chart
You can show period blocks on the chart using colored bands. This helps you easily interpret periods on the chart.
A spark column chart rendered with a period block of three months looks like this:
Given below is a brief description of the attributes used to configure a period block:
| Attribute Name | Description |
|---|---|
|
It is used to specify the number of data points that a period block will encapsulate. For our example, we will set this value to 3. |
|
It is used to specify the hex code of the color that will be used to render the period block, e.g. #555555. |
|
It is used to specify the transparency of the period block. This attribute takes values between 0 (transparent) and 100 (opaque), e.g. 60. |
The data structure needed to configure a period block is given below:
{
"chart": {
"theme": "fint",
"caption": "Revenue by Month",
"subcaption": "Last year",
"subCaptionFontSize": "11",
"numberPrefix": "$",
"highColor": "#6baa01",
"lowColor": "#e44a00",
"chartBottomMargin": "30",
"periodlength": "3",
"periodcolor": "#cccccc",
"periodalpha": "50"
},
"dataset": [
{
"data": [
{
"value": "783000"
},
{
"value": "601000"
},
{
"value": "515000"
},
{
"value": "315900"
},
{
"value": "388000"
},
{
"value": "433000"
},
{
"value": "910000"
},
{
"value": "798000"
},
{
"value": "483300"
},
{
"value": "562000"
},
{
"value": "359400"
},
{
"value": "485000"
}
]
}
]
}Configuring the High and Low Columns
By default, the spark column chart highlights, using a default color, the highest and lowest data plots and also shows their value. You can, however, configure the colors for the highest and lowest columns based on your requirement.
A spark column chart with the color of the high and low columns configured looks like this:
Given below is a brief description of the attributes used to configure the high and low columns:
| Attribute Name | Description |
|---|---|
|
It is used to specify the hex code for the fill color for the column having the highest value, e.g. #D3CEBA |
|
It is used to specify the hex code for the fill color for the column having the lowest value, e.g. #2222AA. |
The data structure needed to configure the colors for the high and low columns is given below:
{
"chart": {
"theme": "fint",
"caption": "Revenue by Month",
"subcaption": "Last year",
"subCaptionFontSize": "11",
"numberPrefix": "$",
"highColor": "#6baa01",
"lowColor": "#e44a00",
"chartBottomMargin": "30"
},
"dataset": [
{
"data": [
{
"value": "783000"
},
{
"value": "601000"
},
{
"value": "515000"
},
{
"value": "315900"
},
{
"value": "388000"
},
{
"value": "433000"
},
{
"value": "910000"
},
{
"value": "798000"
},
{
"value": "483300"
},
{
"value": "562000"
},
{
"value": "359400"
},
{
"value": "485000"
}
]
}
]
}Adding Trend-lines/Trend-zones
Adding Trend-lines
A spark column chart rendered with a trend-line looks like this:
Given below is a brief description of the attributes used to render a trend-line:
| Attribute Name | Description |
|---|---|
|
It is used to specify the starting value for the trend-line. For example, if you want to plot a slanted trend-line from value 102 to 109, the starting value will be 102. |
|
It is used to specify the ending value for the trend-line. For example, if you want to plot a slanted trend-line from value 102 to 109, the ending value will be 109. |
The data structure needed to render a trend-line is given below:
{
"chart": {
"theme": "fint",
"caption": "Revenue by Month",
"subcaption": "Last year",
"subCaptionFontSize": "11",
"numberPrefix": "$",
"highColor": "#6baa01",
"lowColor": "#e44a00",
"chartBottomMargin": "30"
},
"dataset": [
{
"data": [
{
"value": "783000"
},
{
"value": "601000"
},
{
"value": "515000"
},
{
"value": "315900"
},
{
"value": "388000"
},
{
"value": "433000"
},
{
"value": "910000"
},
{
"value": "798000"
},
{
"value": "483300"
},
{
"value": "562000"
},
{
"value": "359400"
},
{
"value": "485000"
}
]
}
],
"trendlines": [
{
"line": [
{
"startvalue": "550000",
"endValue": "700000"
}
]
}
]
}Customizing Trend-lines
A spark column chart with the cosmetic properties of trend-lines configured looks like this:
Given below is a brief description of the attributes used to configure trend-line cosmetics:
| Attribute Name | Description |
|---|---|
|
It is used to specify the hex code of the color that will be used to render the trend-line and its associated text, e.g. #AB3456. |
|
It is used to specify the thickness of the trend-line, e.g. 5. |
|
It is used to specify whether the trend-line will be rendered as a dashed line. Setting this attribute to |
|
It is used to specify the length of each dash, if the trend-line is rendered as a dashed line, e.g. 5. |
|
It is used to specify the gap between each dash, if the trend-line is rendered as a dashed line, e, g. 2. |
|
It is used to specify the transparency of the trend-line. this attribute takes values between 0 (transparent) and 100 (opaque), e.g. 50. |
The data structure needed to customize a trend-line is given below:
{
"chart": {
"theme": "fint",
"caption": "Revenue by Month",
"subcaption": "Last year",
"subCaptionFontSize": "11",
"numberPrefix": "$",
"highColor": "#6baa01",
"lowColor": "#e44a00",
"chartBottomMargin": "30"
},
"dataset": [
{
"data": [
{
"value": "783000"
},
{
"value": "601000"
},
{
"value": "515000"
},
{
"value": "315900"
},
{
"value": "388000"
},
{
"value": "433000"
},
{
"value": "910000"
},
{
"value": "798000"
},
{
"value": "483300"
},
{
"value": "562000"
},
{
"value": "359400"
},
{
"value": "485000"
}
]
}
],
"trendlines": [
{
"line": [
{
"startvalue": "550000",
"endValue": "700000",
"color": "#ff0000",
"thickness": "1",
"dashed": "1",
"dashedlen": "3",
"dashgap": "3",
"alpha": "100"
}
]
}
]
}Adding Trend-zones
A spark column chart rendered with a trend-zone looks like this:
Given below is a brief description of the attributes used to render a trend-zone:
| Attribute Name | Description |
|---|---|
|
It is used to specify whether the chart will be rendered with a trend-zone. Setting this attribute to |
|
It is used to specify the starting value for the trend-zone. For example, if you want to plot a trend-zone from value 102 to 109, the starting value will be 102. |
|
It is used to specify the ending value for the trend-zone. For example, if you want to plot a trend-zone from value 102 to 109, the ending value will be 109. |
|
It is used to specify the hex code of the color that will be used to render the trend-zone and its associated text, e.g. #543ACD. |
The data structure needed to render a trend-zone is given below:
{
"chart": {
"theme": "fint",
"caption": "Revenue by Month",
"subcaption": "Last year",
"subCaptionFontSize": "11",
"numberPrefix": "$",
"highColor": "#6baa01",
"lowColor": "#e44a00",
"chartBottomMargin": "30"
},
"dataset": [
{
"data": [
{
"value": "783000"
},
{
"value": "601000"
},
{
"value": "515000"
},
{
"value": "315900"
},
{
"value": "388000"
},
{
"value": "433000"
},
{
"value": "910000"
},
{
"value": "798000"
},
{
"value": "483300"
},
{
"value": "562000"
},
{
"value": "359400"
},
{
"value": "485000"
}
]
}
],
"trendlines": [
{
"line": [
{
"startValue": "450000",
"endValue": "650000",
"isTrendZone": "1",
"color": "#ff0000"
}
]
}
]
}Configuring Hover Effects for the Chart
You can use hover effects to improve the visual representation of your gauge.
A spark columnchart configured to enable hover effects looks like this:
Given below is a brief description of the attributes used to configure the hover effect:
| Attribute Name | Description |
|---|---|
|
It is used to specify the hex code of the fill color of the highest value column when the mouse pointer is hovered over it, e.g. #b0fdb0. |
|
It is used to specify the hex code of the fill color of the lowest value column when the mouse pointer is hovered over it, e.g. #b0fdb0. |
The data structure needed to configure hover effects is given below:
{
"chart": {
"theme": "fint",
"caption": "Revenue by Month",
"subcaption": "Last year",
"subCaptionFontSize": "11",
"numberPrefix": "$",
"highColor": "#6baa01",
"lowColor": "#e44a00",
"chartBottomMargin": "30",
"highHoverColor": "#b0fdb0",
"lowHoverColor": "#fcb0b0"
},
"dataset": [
{
"data": [
{
"value": "783000"
},
{
"value": "601000"
},
{
"value": "515000"
},
{
"value": "315900"
},
{
"value": "388000"
},
{
"value": "433000"
},
{
"value": "910000"
},
{
"value": "798000"
},
{
"value": "483300"
},
{
"value": "562000"
},
{
"value": "359400"
},
{
"value": "485000"
}
]
}
]
}There! You have now seen how you can configure the functional and cosmetic properties of a spark column chart.