> For the complete documentation index, see [llms.txt](https://help.impact.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.impact.com/brand/what-would-you-like-to-learn-about/platform-features/multi-program-reports/data-lab-custom-reports/edit-a-custom-report.md).

# Edit a Custom Report

1. From the left navigation menu, select ![](/files/CDnwOBeIdds9r3Z6zTnO) **\[Engage]** → **Reports → More Reports**.
2. Select **Category** and filter for **Built** ![](/files/pJsLBrBDVoHbzf2iiL1a) **\[Unchecked box]**.
3. Hover over the report you want to edit, then select **View**.
4. Select the visualization you want to edit, then change the *Dimensions, Measures*, and filters you want.
5. In the top-right corner, select **Save**.

#### Manage your visualizations

You can customize the name, resize, download, clone, and delete each visualization added.

<div data-with-frame="true"><figure><img src="/files/F3Cqv6dSCOa10OOkIwOr" alt=""><figcaption></figcaption></figure></div>

* **To name the data visualization**:

  Select the *Untitled* field in the top-right corner and give the visualization a name. In the above example, we’ve added a data table and named it accordingly.
* **To resize the data visualization**:

  Place your cursor over the angled bracket in either the bottom left or right corner and drag it to the desired size.
* **To download the data visualization**:

  Select ![](/files/XtZ2e4VLyMZJshkSZmv3) **\[Download]** and choose whether you’d like to save the data in PDF or CSV format.
* **To clone the data visualization**:

  Select ![](/files/rBkxBrqMl1l5VXLGwaXU) **\[Menu] → Clone**. This will create a copy of the same visualization. You can then change or modify the data fields, allowing you to have two sets of data tables but with different data. This could be a great way to help categorize or organize your data sets.
* **To delete the data visualization**:

  Select ![](/files/rBkxBrqMl1l5VXLGwaXU) **\[Menu] → Delete**. This can be used to remove the data visualizations you no longer want displayed in your report.


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