Circular Gauge Chart


In this tutorial we will learn how to build the basic circular gauge step by step, trying to cover all major elements and pointing to the articles for the further tuning a gauge.

So, a Circular Gauge is a visual representation of a measuring device with a radial axis that sweeps any angle from 0 to 360 degrees and a pointer (Needle or Knob) that indicates values on that scale. Gauge axes are usually colored for easy value distinction. Gauges can be used as clocks, speedometer, compass, volume tuner or any other gauge that should represent the value as an angle on a circle plot.

Let's start with adding or configuring gauge elements step by step, so in the end we'll create a typical JavaScript speedometer gauge as a result.


The Circular Gauge requires adding the Core and Circular Gauge modules:

<script src=""></script>
<script src=""></script>

Learn more: Modules.


Depending on data model and the visualization purpose the gauge may contain single series or multi series. Let's build a gauge that should look like a speedometer. Step by step, we will make our gauge to look more realistic.

Setting the data

Let's start with a simple speedometer gauge. First of all, we need to set the data - the speed represented. Let it be 50mph:

//create data set on our data
dataSet =[50]);

//set the chart type
gauge = anychart.gauges.circular();

//link the data with the gauge;

If we add a line that draws a chart, we'll see the plain frame with a cap in the center:

// draw chart

That's how it looks like in a sample:


StartAngle and SweepAngle

There are two ways of how we can set the starting angles for our axes: tuning the axes only or the whole gauge.

Method startAngle() will fix the angle you need the gauge or the axis to start from, and use sweepAngle() to limit the angle which would be drawn.

Axes itself have no default starting angle - it takes the gauge setting as the default - and no default limitations except which are set for the whole gauge. But it's possible to make the axis settings different from those which the gauge has.

//set the starting angle for the gauge

//set the starting angle for the axis

//set the angle limit for the gauge

//set the angle limit for the axis

Now, let's look at the sample. Here we've turned and limited the gauge itself. Now we've got a half-circular gauge:


You can use negative values also:



Now let's adjust our axis.


In general, gauge scale settings is the same as the standard scale. You can find more information about scales in the Scales tutorial.


Axis in gauges are not the same as in the other basic chart types. There's no X- and Y-axis, the only axis that a gauge displays and uses is a circular axis that is situated along the frame. Generally, axis in Gauges behaves like a series in other chart types. The Gauge can be multi-axes.

Let's enable the axis to see the changes we make and set its width and radius at once. To make it we use the radius() and the width() methods.

//axis settings
var axis = gauge.axis()

Minimum and Maximum

Let's limit the axis with the values we want to be displayed. To set the limits, we used the minimum() and the maximum() methods. Let it be from 0 to 120 mph:

//scale settings

So our gauge with the fixed axis will look the following way:



At the moment our speedometer has only 4 ticks each 40 mph, that is not actually informative. Let's set the limits for our ticks, make major tickes appear each 10 mph and enable minor ticks.

//scale settings
    .ticks({interval: 10})
    .minorTicks({interval: 1});

//minor ticks settings

To enable the ticks and set the interval we used the ticks() method and the minorTicks() for our minor ticks acordingly.


It's easy to notice that there's no difference between major and minor ticks. Let's set them of the type and length that will emphasize the major ticks:

//ticks settings

//minor ticks settings

Look at the sample to make it clear:



In this section we will talk about other elements of Gauges and demonstrate how to apply them.


As you may remember, we have defined some data at the beginning of the article, but there's still no data shown on any of the samples. That's because we haven't enabled a pointer yet.

There are 4 different types of pointers available: needle, knob, bar and marker. Knob is a full-circular pointer that is usually used with the needle and designed to look like a tuner of a part of electronics (audio, microwave, oven, etc.), so we don't describe it in here. Let's add the second axis and the second value in our dataSet to make some sense out of the rest pointers:




To bind the pointers to the axis and data we want them to show, we use axisIndex() and dataIndex() methods. The value transmitted to the method is the number of axis or data accordingly.

For more information look up the Pointers and Data tutorial.


Cap in gauges has no practical meaning: its purpose is to make an on-screen gauge to look more like a usual gauge. Let's enable and fix it to fit its look to the gauge.




Like with any other chart type, we can set the chart label and adjust it. Let our speedometer be for the car of Albany brand:

//gauge label
    .anchor('center') //set the position of the label

Besides the label itself, we have to adjust its look. First of all, to put the label in the center of the gauge we use the anchor() method. Then we have to change the size of the label, because it looks too small by default. For this we use the usual methods width() and height() to set the bounds of the label area and add the adjustFontSize() method to make our label fit the defined parameters.

Now let's put our label in the center of the area: use hAlign(). To shift the label a bit up we used the offsetX and offsetY methods.

Then we should put the name of the car company beside the cap to make the look of our chart more real. For that we use the zIndex() parameter.






AnyChart charting library uses default color palette to color data elements of a chart automatically.

As you see, our speedometer does not look attractive at the moment. Let's color its elements to make the look of the speedometer more realistic and learn how to apply different colors to different data. To apply the color to an element we need to set fill() and stroke() or fontColor().


Important Note:

AnyChart takes care of visualization and users convenience seriously: that is why we have a number of ways to set colors. For example, instead of "RGB(240,248,255)" you can set "HSB(208,100,97)" or "AliceBlue" or "#F0F8FF". Depending on your system/site/application design you may need and use any of this color setting methods. Read more about setting colors below and in the following help sections: different ways of setting colors in AnyChart.