> For the complete documentation index, see [llms.txt](https://docs.marpledata.com/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.marpledata.com/docs/marple-insight/user-manuals/overview-dashboards.md).

# Overview Dashboards

{% hint style="success" %}
Overview dashboards are in active development. Reach out to us with any suggestions, questions or feedback at <support@marpledata.com>
{% endhint %}

Overview dashboards is one of the most powerful features of Marple Insight, allowing you to interact with all your datasets in a single view. For example, you can make a dashboard to track the progress of a test campaign:&#x20;

<figure><img src="/files/9Yn1ehyUW4Tm5ks6EIKM" alt=""><figcaption></figcaption></figure>

## Plot types

<figure><img src="/files/Q1G7SbnYZUggYUr6Ga2X" alt="" width="375"><figcaption></figcaption></figure>

Currently,  the following plot types are supported:

* **Number plots**: showing 1 aggregated value for all datasets\
  Example: Total mileage \[km]
* **Table, Pie and Bar plots**: showing multiple aggregate values, grouped on a second value\
  Example: Average battery temperature for low power, medium power and high power cases
* **Scatter plots**: showing two aggregates as a single dot for every dataset\
  Example: Maximum altitude VS maximum speed for every dataset

{% hint style="success" %}
Hint: scatter plots can be used to identify outliers. You can click the visualise icon to open a dataset for deeper analysis.
{% endhint %}

<figure><img src="/files/ySgDfIoGDk6FIsUNldlV" alt=""><figcaption><p>By clicking the visualise icon for a dataset, you can drill down into the time series view to explore it in depth.</p></figcaption></figure>

You can create your plots based on

* Raw signal values from your datasets, e.g. `speed`, `temperature`, etc
* Math channels that are derived from raw signals, e.g. `temperature_fahrenheit` \
  Read more here: [Functions](/docs/marple-insight/user-manuals/analysis/functions.md)
* Dataset metadata, e.g. `driver`, `location`, etc

## Filtering

Overview dashboards allow you to filter the datasets that you want to see. This can be done on three levels:

1. **Saved filters**: use this to make a primary selection of what datasets should appear on the dashboard.
2. **Ad-hoc filters**: useful to quickly dive into a subset of the data. They are reset whenever you open the dashboard from scratch.
3. **Plot filters**: for applying extra filtering on the plot level. Also saved as part of the dashboard definition.

<figure><img src="/files/DRQLr36Xt0esm5mQr8Uu" alt=""><figcaption><p>The visible datasets in an overview dashboard can be filtered on three levels.</p></figcaption></figure>

## Tabs

Divide your plots across multiple tabs for a better overview.

In edit mode, you can add, delete, rename, and duplicate tabs.

<figure><img src="/files/66zmwFivEF8Bc7jAzDHS" alt="Overview dashboard with tabs"><figcaption></figcaption></figure>

## Discover Overview Dashboard in 1 minute

{% embed url="<https://youtu.be/J6yCoxYZ-Sk>" %}

Want to discover more Overview Dashboard features in 1 minute? Check out other [1 Minute Marple videos](/docs/other-resources/1-minute-marple-videos.md)