Data Values
Data values are plot values, i.e. values of each data plot (line, column, bar, pie) displayed on the chart.
Configure Text Labels instead of Numeric Data Values
Instead of displaying numeric data values, you can use text labels to denote data values for each data item. Specify the text you want to display using the displayValue
attribute under data
within the particular data plot. Refer to the code below:
{
"chart": {
...
},
"data": [
{
"label": "Q1",
"value": "1950000"
},
{
"label": "Q2",
"value": "1450000"
},
{
"label": "Q3",
"value": "1730000"
},
{
"label": "Q4",
"value": "2120000",
//Custom display string
"displayValue": "Year's best"
}
]
}
The chart will look like as shown below:
Click here to edit the above chart.
Rotate Data Values
By default, the data values appear vertically as shown in the chart below:
Click here to edit the above chart.
You can opt to rotate the data values horizontally. Set the rotateValues
to 0
under the chart
object. The default value of this attribute is 1
.
Refer to the code below:
{
"chart": {
"rotateValues": "0"
}
}
The chart will look like as shown below:
Click here to edit the above chart.
Control the visibility of data values
By default, all the data values are hidden for a chart. Setting the showValues
attribute to 1
under the chart
object displays all the data values in the chart. Given below is an image of a stacked chart, let's see how a stacked chart renders its data values for each data plot:
In the above image, as you can see the showValues
attribute has been set to 1
and all the values are getting rendered on their respective data plots. The data values of the data plots with high numeric values are getting rendered properly, but the lower values' data plots are not looking nice to our eyes.
Starting v3.14.0, FusionCharts allows you to control the visibility of data values of the plots by specifying the minimum height of the columns. Data plots less than the minimum height specified will not show the data value text. This will help reduce clutter and improve the readability of the chart.
Refer to the code given below:
{
"chart": {
"minPlotHeightForValue": "15"
}
}
In the above code, the value of minPlotHeightForValue
attribute is set to 20px. In this case, the data values of the data plots with a height of more than 20 pixels will be visible. FusionCharts will disable the data values of the plots with a height of less than 20 pixels.
Now, after applying the minPlotHeightForValue
attribute, the above chart looks like as shown below:
Click here to edit the above chart.
In the above chart, we can see that the data values of the data plots with height less than 20 pixels have been disabled.
Bubble chart
A similar scenario can occur for a Bubble chart as well. We cannot calculate the height of a bubble chart so a new attribute minRadiusForValue
has been introduced where u can specify the minimum radius of the bubble to display the data values of the plots.
Refer to the code below:
{
"chart": {
"minRadiusForValue": "15"
}
}
In the above code, the value of the minRadiusForValue
attribute has been set to 10 pixels. In this case, the data values of the data plots with a radius of more than 10 pixels will be visible. FusionCharts will disable the data values of the plots with a radius of less than 10 pixels.
A bubble chart looks like as shown below:
Click here to edit the above chart.
Pie/Doughnut chart
Starting v3.14.0, FusionCharts Suite XT allows you to place the values inside the pie/doughnut slices of a pie and doughnut chart respectively. This helps to improve the overall look as it saves the canvas area outside the chart.
You can place the value inside the slices by setting the value of the newly added attribute valuePosition
to inside. The default value of valuePosition
attribute is outside.
valuePosition
attribute can only be applied to 2D charts, i.e., pie2d and doughnut2d charts.
Refer to the code below:
{
"chart": {
"valuePosition": "inside"
}
}
valuePosition
attribute can be applied both at chart
and data
level, i.e., you can set the position of the individual values of the slices.
Refer to the code below, showing the valuePosition
attribute for a particular value:
{
"chart": {
...
},
"data": [{
"label": "Food",
"value": "285040"
},
{
"label": "Apparels",
"value": "146330",
"valuePosition": "inside"
},
{
"label": "Electronics",
"value": "105070"
},
{
"label": "Household",
"value": "49100"
}
]
}
A pie2d with valuePosition
attribute set to inside (at chart level) is shown below:
Click here to edit the above chart.
In pie/doughnut chart, changing the position of the value can sometimes overlap each other due to the unavailability of space. For this scenario, a new attribute minAngleForValue
has been introduced which sets the minimum angle of the pie below which the values will not be visible.
Refer to the code below:
{
"chart": {
"valuePosition": "inside",
"minAngleForValue": "75"
}
}
This attribute will only work if the
valuePosition
attribute is set toinside
.
A doughnut chart after applying valuePosition
and minAngleForValue
attribute look like:
Click here to edit the above chart.
Display Data Values outside Columns
By default, the data values are displayed within the column data plots. Set the placeValuesInside
attribute to 1
and display the data values inside the column data plots. Refer to the code below:
{
"chart": {
"placeValuesInside": "1"
}
}
The chart will look like as shown below:
Click here to edit the above chart.
Show/Hide Data Values
By default, all the data values are hidden. Set the showValues
attribute to 1
under the chart
object to display all the data values. Refer to the code below:
Hide the data values by setting the following attribute to
0
.
{
"chart": {
"showValues": "1"
}
}
The chart will look like as shown in the image below:
Click here to edit the above chart.
You can also opt to show/hide specific data values instead of hiding all of them. Set the showValue
attribute to 1
under the data
for that specific data value which you want to display. This setting overrides the showValues
setting at the chart
object level.
Refer to the code below:
{
"chart": {
"showValues": "0"
},
"data": [
{
"label": "Q1",
"value": "1950000",
"showValue": "1"
}
]
}
The chart looks like as shown below:
Click here to edit the above chart.
Skip Y-axis Values
If there is a large number of values to be displayed along the y-axis, you can opt to display every nth y-axis value skipping the rest.
To do so, specify the n-th level using the yAxisValuesStep
attribute. For example, if you set the value as 2
, the y-axis will display every 2nd value starting from the minimum value.
This attribute can also assume default values based on the space available in the chart to render y-axis values and can override the values provided to avoid overlapping of y-axis values.
Refer to the code below:
{
"chart": {
"yAxisValuesStep": "2"
}
}
The chart will look like as shown below:
Click here to edit the above chart.
Customize Data Value Properties
You can customize the data value properties like font, border, background, and alpha.
Font Properties
To customize the font properties following attributes are used:
Set the font family for the data values using the
valueFont
attribute. E.g. -Arial
Specify the hex code for the color of the data values using the
valueFontColor
attribute. E.g. -#00ffaa
.Set the size of the font using the
valueFontSize
attribute.Set the
valueFontBold
attribute to1
to and display the data values asbold
.Set the
valueFontItalic
attribute to1
to and display the data values asitalics
Set the transparency of the data values using the
valueFontAlpha
attribute.
Refer to the code below:
{
"chart": {
"placeValuesInside": "0",
"rotateValues": "0",
"valueFont": "Arial",
"valueFontColor": "#5d62b5",
"valueFontSize": "12",
"valueFontBold": "1",
"valueFontItalic": "0",
"valueFontAlpha": "90"
}
}
The chart will look like as shown below:
Click here to edit the above chart.
Customize Data Value Border
To customize the border of the data values, the following attributes are used:
Specify the hex code of the border color using the
valueBorderColor
attribute.Set the transparency of the border using the
valueBorderAlpha
attribute.Set the thickness of the border using the
valueBorderThickness
attribute.Set the radius if the border using the
valueBorderRadius
attribute.Set the
valueBorderDashed
attribute to1
to display the border as dashed lines.Specify the gap between two dashed lines using the
valueBorderDashGap
attribute.Set the length of each dash using the
valueBorderDashLen
attribute.Set the transparency of the border on hover using the
valueBorderHoverAlpha
attribute.
Refer to the code below:
{
"chart": {
"valueBorderColor": "#666666",
"valueBorderAlpha": "100",
"valueBorderPadding": "5",
"valueBorderRadius": "6",
"valueBorderThickness": "0.5",
"valueBorderDashed": "1",
"valueBorderDashLen": "4",
"valueBorderDashGap": "2"
}
}
The chart will look like as shown below:
Click here to edit the above chart.
Customize Data Value Background
To customize the background of the data values, the following attributes are used:
Specify the hex code for the background color using the
valueBgColor
attribute.Set the transparency of the background using the
valueBgAlpha
attribute.Set the transparency of the background on hover using the
valueBgHoverAlpha
attribute.
Refer to the code below:
{
"chart": {
"valueBgColor": "#666666",
"valueBgAlpha": "100",
}
}
The chart will look like as shown below:
Click here to edit the above chart.