> For the complete documentation index, see [llms.txt](https://docs.listburst.app/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.listburst.app/getting-started/configure-a-chart.md).

# Configure a chart

Once you've added your web part to a page, click the Edit button to display the properties:

![](/files/-MASslcLTKYng1NgGsKV)

The **properties pane** will now appear on the right.

![](/files/-MASt3lHd3hEO4HkB8g4)

In the properties pane, select a chart type add the URL to the SharePoint List containing the raw data you want to visualize:

![](/files/-MAStNTeef682LXG9zku)

As you enter the list URL you'll be presented with drop-downs containing your list fields.

### Field containing the numerical data

This is the field which will be used for the Y axis, or will be used to represent the size of 'slices' in the case of a pie chart. It's the primary data you want to visualize. In this case, we've picked Revenue, and it'll be reflected in the size of the bars:

![](/files/-MAT2QcFoxZHORFkl07a)

### Field containing the categories or groupings

This is the field which will be used for the X axis, or the labels for the separate 'slices' in the case of a pie chart. It's the field which will be used to group together and aggregate the numerical data.

## Aggregation

By default, the SUM aggregation is applied. This will add together every value for each grouping:

![](/files/-MAT34zSMiu9V9ciDfz4)

Aggregations available are:

* **None**: no aggregation. Every individual list item is rendered as a data point.
* **Sum**: adds each numerical item, grouped by the 'grouping' column
* **Item Count**: number of items for each group
* **Average**: average value within each group
* **Maximum**: max value within each group
* **Minimum**: min value within each group
* **Standard deviation**: the standard deviation within the group
* **Variance**: the variance within each group

## Secondary Grouping

You may wish to visualise sub-categories for each category in the data. For example, the chart above displays **Revenue by region**. However, you may want to further break the values down by another field - in this case **sales stage**:

![](/files/-MAT5VWjJ9AULoEQUORI)

![Revenue by region and sales stage](/files/-MAT5_w5uAeC9ygDMEMY)