# Add Tiles

***

### Add a Tile

Dashboard tiles use [Kusto Query Language (KQL)](/management-portal/insights/queries.md#learning-kusto-query-language-kql) snippets to retrieve data and render visuals. Each tile/query can support a single visual.

<figure><img src="/files/LI6wEoPx3ev0pAZ42zJr" alt=""><figcaption><p>Adding a Tile to a blank Dashboard</p></figcaption></figure>

When you add a Tile, you must select a data source that will be used to retrieve data for the Tile (If no data sources is available please see [Add Data Source](/management-portal/insights/dashboards/create-a-dashboard/add-data-sources.md))

In the **Query** pane of the Tile:

1. Select the data source from the drop-down menu.
2. Type the query, and the select **Run**. For more information about generating queries that use parameters, see [Use Parameters](/management-portal/insights/dashboards/create-a-dashboard/use-parameters.md).
3. Select the **Visual Tab**

<figure><img src="/files/n7QANkZCZQN1VsN2YzTv" alt=""><figcaption><p>Select Data source, Insert a Query and choose a Visual type for the Tile</p></figcaption></figure>

4. In the visual tab, select **Visual type** to choose the type of visual (Line chart)
5. In the **Data** section, select the property to use for Y columns (Y-Axis), in this case we use the Value of the selected Measurements. Set the X-Axis to use the StartTimestamp of the Measurements. Finally you can specify how your Series should be named, in this case we use the HierarchicalName of the Measurements.
6. Select **Apply changes**

<figure><img src="/files/Hm0RSns179qPwPCAs7oB" alt=""><figcaption></figcaption></figure>

7. You can resize the Tile directly on the dashboard surface, then click **Save.** In order to Add
8. In order to edit an existing Tile, you must be sure that the Dashboard is put into **Editing mode**

<figure><img src="/files/6tTYc7v0qlj3AUXTfgCC" alt=""><figcaption><p>Putting a dashboard into Editing mode requires the right permissions</p></figcaption></figure>

{% hint style="info" %}
A Tile will only load a maximum of about 50.000 Data points. If your time range selection yields above this threshold, you can use Aggregation queries to limit the amount of data points being visualized, eg. by showing calculated average values in time buckets.

Please see [Summarize Operator](/management-portal/insights/queries.md#summarize-operator) or [Make-series Operator ](/management-portal/insights/queries.md#make-series-operator)for details.
{% endhint %}

For more details on customizing visuals, please see Microsoft Dooumentation [Azure Data Explorer Customize dashboard visuals](https://learn.microsoft.com/en-us/azure/data-explorer/dashboard-customize-visuals).

***


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