> For the complete documentation index, see [llms.txt](https://docs2.bunifuframework.com/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs2.bunifuframework.com/docs/dataviz/advanced-charts/range-column-chart.md).

# Range Column Chart \[Deprecated]

 Range column chart is used to visualize the difference between high and low values over a period of time. It is also used to  when you want to compare data from various categories. 

**How to display range column chart using Bunifu Dataviz**

Simply locate Bunifu Dataviz control in your toolbox and drag it to the location on your form where you would like to display it. 

We will use button click event handler to display our chart called render\_range\_column.

{% tabs %}
{% tab title="C#" %}

```csharp
private void render()
{
    var canvas = new Bunifu.Dataviz.WinForms.BunifuDatavizAdvanced.Canvas();
    var datapoint = new Bunifu.Dataviz.WinForms.BunifuDatavizAdvanced.DataPoint(Bunifu.Dataviz.WinForms.BunifuDatavizAdvanced._type.Bunifu_rangeColumn);
    
    datapoint.addxy("new Date (2002,11,10)", new JArray(16.23, 17.99).ToString());
    datapoint.addxy("new Date (2002, 11, 9)", new JArray(15.95, 19.25).ToString());
    datapoint.addxy("new Date (2002, 11, 8)", new JArray(11.30, 16.88).ToString());
    datapoint.addxy("new Date (2002, 11, 7)", new JArray(13.29, 14.28).ToString());
    datapoint.addxy("new Date (2002, 11, 6)", new JArray(15.23, 16.45).ToString());
    datapoint.addxy("new Date (2002, 11, 5)", new JArray(13.70, 16.50).ToString());
    datapoint.addxy("new Date (2002, 11, 4)", new JArray(17.50, 19.00).ToString());
    datapoint.addxy("new Date (2002, 11, 3)", new JArray(19.50, 20.85).ToString());
    datapoint.addxy("new Date (2002, 11, 2)", new JArray(20.07, 21.44).ToString());
    datapoint.addxy("new Date (2002, 11, 1)", new JArray(25.00, 26.70).ToString());
    
    canvas.addData(datapoint);
    bunifuDataViz1.Render(canvas);
    
}
```

{% endtab %}

{% tab title="VB.NET" %}

```
Private Sub render()
    
    Dim canvas = New Bunifu.Dataviz.WinForms.BunifuDatavizAdvanced.Canvas()
    Dim datapoint = New Bunifu.Dataviz.WinForms.BunifuDatavizAdvanced.DataPoint(Bunifu.Dataviz.WinForms.BunifuDatavizAdvanced._type.Bunifu_rangeColumn)
    
    datapoint.addxy("new Date (2002,11,10)", New JArray(16.23, 17.99).ToString())
    datapoint.addxy("new Date (2002, 11, 9)", New JArray(15.95, 19.25).ToString())
    datapoint.addxy("new Date (2002, 11, 8)", New JArray(11.30, 16.88).ToString())
    datapoint.addxy("new Date (2002, 11, 7)", New JArray(13.29, 14.28).ToString())
    datapoint.addxy("new Date (2002, 11, 6)", New JArray(15.23, 16.45).ToString())
    datapoint.addxy("new Date (2002, 11, 5)", New JArray(13.70, 16.50).ToString())
    datapoint.addxy("new Date (2002, 11, 4)", New JArray(17.50, 19.00).ToString())
    datapoint.addxy("new Date (2002, 11, 3)", New JArray(19.50, 20.85).ToString())
    datapoint.addxy("new Date (2002, 11, 2)", New JArray(20.07, 21.44).ToString())
    datapoint.addxy("new Date (2002, 11, 1)", New JArray(25.00, 26.70).ToString())
    
    canvas.addData(datapoint)
    bunifuDataViz1.Render(canvas)
    
End Sub
```

{% endtab %}
{% endtabs %}

In order to display Bunifu Range Column chart we need the following controls:

*  **Bunifu Data Viz** - This is the container for our chart
*  **Bunifu Canvas** - This is the middle layer between the data viz (container) and the dataset
*  **Bunifu Data Point** - This will contain the data that we want to represent as pairs of X and Y coordinates

Bunifu Range Column Chart works is pretty simple: we populate the Bunifu Datapoint control with “points”, described by the X coordinate (the first parameter of the addxy method) and an array of 2 coordinates, specifying the limits of the line that we want to represent (on the Y axis).

On running the code you should see something like this:

![](https://downloads.intercomcdn.com/i/o/73637137/a983a17f95088a9e0ee1cfe0/range-column-chart%5B1%5D.png)

That's it!

We hope Bunifu Dataviz will help you bring out the best data visualization for your data in your application. 

Should you have feedback or suggestions please send us via chat on the bottom right corner of the screen. 


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