> 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/stacked-column-100-chart.md).

# Stacked Column 100 Chart \[Deprecated]

Stacked column 100 chart is useful when showing part-to-whole proportions over a period of time. 

## **How to display stacked bar 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\_stacked\_column\_100

**C# code**

{% 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_stackedColumn100);
    
    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_stackedColumn100)
    
    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 a Bunifu Stacked Column 100 we need the following controls:

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

Bunifu Stacked Column 100 simply works by creating 2 data point objects, one for the “low” set of points and one for the “high” set of points. The control will know automatically to adjust the width of the lines to match the specified data points and also to fill the entire width of the graph.

On running the code you should see something like this:

![](https://downloads.intercomcdn.com/i/o/73765044/6f00bcd742b73f18cf9f7e17/stacked-column-chart-100%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.