> For the complete documentation index, see [llms.txt](https://docs.fusion.vectra.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fusion.vectra.ai/dashboards/widgets/widget-container.md).

# About Widget Containers

## Overview <a href="#overview" id="overview"></a>

You can interact with widgets using their widget container options. Some option do not appear unless the dashboard is unlocked and in edit mode.

See [Edit a Dashboard](/dashboards/manage/edit-a-dashboard.md) for more information.

## Getting Here <a href="#getting-here" id="getting-here"></a>

To edit a widget in a dashboard, use must first **Edit** the dashboard.

<i class="fa-hexagon-exclamation">:hexagon-exclamation:</i> Changes made to dashboards in edit mode take effect immediately. There is no SAVE button or UNDO option when editing a dashboard.

To edit a dashboard, use the following steps.

1. From the main menu, navigate to **Dashboards > All**.
2. Click the **row options** icon <i class="fa-circle-ellipsis">:circle-ellipsis:</i> at the beginning of the row that includes the custom dashboard.
3. Click **Edit**.\
   At the top of the page, an unlock button <i class="fa-unlock">:unlock:</i> displays, indicating the dashboard is in Edit mode. You can click this button to exit edit mode.
4. Click on the option icon explained below to perform its actions.

## Basic Options <a href="#basic-options" id="basic-options"></a>

### <i class="fa-arrow-pointer">:arrow-pointer:</i> Hovering Over Data <a href="#i-classfa-solid-fa-arrow-pointeri-hovering-over-data" id="i-classfa-solid-fa-arrow-pointeri-hovering-over-data"></a>

* **Description**: When hovering over data points within a chart, a tooltip typically appears, providing detailed information about that specific point. This can include metrics such as exact values, timestamps, or additional context relevant to the data point.
* **Usage**: Hovering is a quick and interactive way to gain deeper insights without having to navigate away from the current view. It allows users to explore the data in more detail, helping them to identify trends or anomalies at a granular level.


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