Bar Chart


A bar chart, is a chart with rectangular bars of lengths usually proportional to the magnitudes or frequencies of what they represent. Although the bars can be horizontally or vertically oriented, we call vertically oriented charts - column charts and study them in a Column Chart section.

Bar charts are useful for showing data changes over a period of time or for illustrating comparisons among items. In bar charts, categories are typically organized along the vertical axis and values along the horizontal axis.

Consider using a bar chart when:

  • The axis labels are long.
  • The values that are shown are durations.


Depending on data model and the visualization purpose the bar chart may contain single series or multi series.

Single Series

Let's see single series bar chart created using the following data - sales of ACME Corp. apparel through different retail channels in one year:

Retail Channel Sales
Department Stores $637.166
Discount Stores $721.630
Men's/Women's Specialty Stores $148.662
Juvenile Specialty Stores $78.662
All other outlets $90.000

Now we need to convert this data. In terms of AnyChart data model we have one series of data (Sales) with categories that hold Retail channels names. Each point in series represents one channels and sales amount through this channel . Converted data looks like:

    var data =[
        ['Department Stores1', 637166],
        ['Discount Stores', 721630],
        ['Men\'s/Women\'s Specialty Stores', 148662],
        ['All other outlets', 90000]
    chart = anychart.barChart(data);;

As you can see, we've used method .barChart(), set name's attribute into first column to define bar category and second column defines bar value.



To compare two or more data rows you have to use multi-series bar charts as it shown in the sample below.

Let's compare year 2003 sales to year 2004 sales:

Retail Channel Year 2003 Sales Year 2004 Sales
Department Stores $637.166 $737.166
Discount Stores $721.630 $537.166
Men's/Women's Specialty Stores $148.662 $188.662
Juvenile Specialty Stores $78.662 $178.662
All other outlets $90.000 $89.000

As we do in single-series bar sample above we need to convert this table into JSON, the only difference between these two samples is the fact that now we have two series of data - one series for each year, and we give proper names to each series:

    var data =[
        ['Department Stores1', 637166, 737166],
        ['Discount Stores', 721630, 537166],
        ['Men\'s/Women\'s Specialty Stores', 148662, 188662],
        ['Juvenile Specialty Stores', 78662, 178662],
        ['All other outlets', 90000, 89000]
    var Sales2003 = data.mapAs({x: [0], value: [1]});
    var Sales2004 = data.mapAs({x: [0], value: [2]});
    chart = anychart.barChart();
    var series;
    series =;
    series =;

As we now have multi-series chart we don't want to set type for each series individually (there can be much more than two series in multi-series chart), so we add anychart.barChart() method to chart. Now all series in chart will be Bar type by default.



In AnyChart axis is an object that allows you to configure chart grid, axis line along with tick marks and labels, axis scale and settings and many more. All axis features are described in Axes Basics , Axes Scales and Extra Axes tutorial, in this section we will quickly demonstrate how axis orientation can be adjusted, how axis scale can be inverted and how minimum and maximum values can be controlled.


With AnyChart you can place axes to any side of the chart, all you need to do is to adjust .orientation() parameter of .yAxis() or .xAxis() methods.

Positioning depends on plot type and inversion of axes, you will find list of all possible orientation and inversion settings in Axes Orientation Templates.


And here is the demonstration of this feature on the Single-series sample:



AnyChart allows to invert any axis: Y, X or any extra axis. Inversion is controlled by axis scale().inverted():



Minimum and Maximum

By default AnyChart calculates axis minimum and maximum automatically, you can see this on the scale inversion chart sample above: minimal value on the Y Axis is 0.0, and maximum is 800.000. You can control these values by setting .maximum() and .minimum() parameters of scale method:


And here is the demonstration of maximum and minimum values on the Single-series sample:



The special thing about bar charts are the paddings between bars and bar groups (in multi-series charts), on the picture below you can see what are these paddings:

If you want to set these paddings you need to set PointPosition in bar_series. Paddings are measured as a ratio to bar width (bars widths are calculated automatically). For example, if you set xPointPosition to 0.5 - the space between two bars will be equal to the half of each bar width. If you want to have no padding between bars xPointPosition to 0.

Here is a sample of multi-series bar chart with xPointPosition set to 0.5.



In this section we will describe main parts of bar chart style and demonstrate how style can be applied.

The main idea of styles is to segregate visualization and data definition. Visual appearance of bars is defined using certain styles and then you just apply the style to the certain data elements. Style can be applied to data series or single bar.

On the image below you can see what bar_style consists of: fill (including solid color fill, hatch fill, image fill and gradient fill), border and effects applied to whole bar.

Also, styles are used to make charts interactive, you can define how elements will be displayed by default, when user moves cursor over an element, etc.

Basic Sample

Now, let's look how to apply a simple style to the chart. As we've already said style consists of several elements, here is an java structure:
        .hoverStroke("darkred", 4)
        .stroke('#56561a', 4)
        .hatchFill('diagonalbrick', 'gray')
        .hoverHatchFill('diagonalbrick', 'darkred');

Using such settings we've created a style that defines bars of Gold color, rather thick border, hatch filled with DiagonalBrick and a couple of effects. Also, we've defined that when user will move cursor over an element it will be highlighted with a DarkRed thick border and hatch fill colored DarkRed too.

Now we will take a sample single-series chart described above, define style in JSON.


Labels and Tooltips

In this section we will explain how to add and configure data labels and tooltips. Full explanation of formatting and tuning visual appearance for them can be found in Labels and tooltips tutorials.

If you want to configure data labels and tooltips for all series - you should do that in .labels() and **.tooltip ()** methods. You can tune their visual appearance, positioning and format. Let's do that in the following example: we will make data labels appear to the right of the bars, also, we will format labels so they show only the value corresponding to the bar and tooltip will show detailed description.

When formatting data labels text we will use .textFormatter to choose the column we need information from.

  • Related Help Topics:

Learn more about labels and tooltips in Labels and tooltips Full Keywords reference and formatting guide: Labels and tooltips –>


Marker is an object with a specified shape, size, and color or an image used to mark and to identify chart elements. AnyChart allows to add markers to any data element including bars.

In the sample below we will take single-series data described above and mark the biggest bar in series with a "Star5" of the "Gold" color.

To make marker visually appealing we will create a style, that will tell AnyChart to set marker size to 12 pixels in normal state, and make it bigger (12 pixels) when user moves cursor over an element.

    {x: 'Men\'s/Women\'s Specialty Stores', value: 148662, marker:{type:'star5', fill:'gold', size: 12, enabled: true}, hoverMarker: {size: 22}}

And here is a result - the best retail channel for ACME Corp. is Discount Stores and we show this on the chart



AnyChart uses default color palette to colorize data elements of chart automatically even if you have not define special colors.

Colorizing Elements

Let's demonstrate how to apply different colors to different data series. To apply the color to the exact series we need to set ".fill" parameter in the series. In the sample below we have 5 series with sample data and we'll color each series to different color. Here is the sample:


In the sample below we will see how we can colorize individual points. We have chart with one series and predefined color for all elements. We will set "Rgb(180,77,77)" color for minimum point and "Rgb(77,180,77)" for the maximum one. As you see it is very easy to do by setting fill() parameter of a point.


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"- and the color will be the same. Depending on your system/site/application design you may need - and use - any of this color setting methods. But even this is not everything about colors in AnyChart: read more about setting colors below and in the following Help Sections:

Hatch Fills

AnyChart technology allows printing of charts. Some color printers print colors unpredictable and very often it is hard to identify similar colors. Also it is impossible to identify colors on prints of b/w (monochrome) printers. AnyChart has very useful feature - hatch fills, ideal for differentiating elements for black and white display or for those who are color blind. Hatch fill is fully-independent structure, it doesn't rely on color fill and it has own settings. To see whole range of available hatch types see Hatch Fill tutorial.

To demonstrate hatch fill feature we've prepared the following sample. As you see it is completely monochrome. We have chart with 5 series with 3 data points in each. For every series we've applied different hatch fill types.


You are looking at an outdated 7.2.0 version of this document. Switch to the 8.4.0 version to see the up to date information.