# Pivot table

Pivot tables visualise multidimensional data. 

* Columns and rows can be freely configured. 
* Like diagrams, pivot tables are separately linked to the source data.

<figure><img src="/files/2sysrSgxu8jdcBYYJ2er" alt=""><figcaption><p>Pivot table view</p></figcaption></figure>

* A Row area field configured on Status displays all the element's statuses as rows.
* The Column Area field, configured on Significance, displays all Significance value as columns.&#x20;
* The Data Area field, configured on Number of Elements, displays the corresponding number of elements from the Status-Significance pairs.

### Example of how to create a pivot table:&#x20;

<figure><img src="/files/OOwnkeU7dBn0nZ9CoHWr" alt=""><figcaption></figcaption></figure>

In order to count e.g. our defects accordingly to a certain argument or category (in other words a value field that was created for a defect), please follow the video:

{% embed url="<https://drive.google.com/file/d/1evPJfFk2JW1fC8eoj7UjRV1pND0A4ywh/view?usp=drive_link>" %}

{% hint style="info" %}
Make sure to unmark the field *Show data headers* in the Options -> View Options

See photo:
{% endhint %}

<figure><img src="/files/SFt9aF8AUKB4a1zDeSob" alt="" width="457"><figcaption></figcaption></figure>


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