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"
        }
    ]
}COPY

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"
    }
}COPY

The chart will look like as shown below:

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"
    }
}COPY

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"
    }
}COPY

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"
        }
    ]
}
COPY

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"
    }
}COPY

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 to 1 to and display the data values as bold.

• Set the valueFontItalic attribute to 1 to and display the data values as italics

• 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"
    }
}COPY

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 to 1 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"
    }
}COPY

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",
    }
}COPY

The chart will look like as shown below:

Click here to edit the above chart.