# Splitting and grouping: tables

In this section, we'll discover the various options in Inforiver to split and group measures in Table mode.

### 1. Splitting measures

When you have multiple measures and categories in your table, you can display each measure in a separate panel. Click on the **Split** button in the toolbar.

<figure><img src="/files/OyayKribrzuimtSBG1IU" alt=""><figcaption><p>Split option for tables</p></figcaption></figure>

Notice each measure is displayed as a separate table when splitting is enabled.

<figure><img src="/files/JAh50pB6gDReFmvC3ZtH" alt=""><figcaption><p>Split option for tables</p></figcaption></figure>

### 2. Measures category

When the split option is enabled a **measures category** is created: the measures can be rendered as rows or columns.

We've added a Sub Region as a small multiple parameter to demonstrate the measures category feature. Notice how the measures are rendered as separate rows when the split option is enabled.

<figure><img src="/files/RVkxfs2BIWi49ECyERS1" alt=""><figcaption><p>Measures as rows</p></figcaption></figure>

The image below shows the measures rendered as columns.

<figure><img src="/files/k8lRXOpm0lsElTwHNkr2" alt=""><figcaption><p>Measures in columns</p></figcaption></figure>

### 3. Grouping measures

&#x20;With the Group feature, you can create visual-level column hierarchies in a single click.&#x20;

All you need to do is select the measures to be grouped, click the **Group** button, and enter the name of the custom group in the textbox.

<figure><img src="/files/GYlm9W2ti5plJOvuEKcr" alt=""><figcaption><p>Creating a column group</p></figcaption></figure>

We've grouped the Actuals and Plan into the 2024 and 2023 buckets.&#x20;

<figure><img src="/files/yXVVtM2AcN1vKsa9O4oo" alt=""><figcaption><p>Column group created</p></figcaption></figure>

You can **expand and collapse** column groups with the<img src="/files/PoQvnd0UorbtsA2Hm0te" alt="" data-size="line"><img src="/files/oijbtGvDVHmu1mDo5eCm" alt="" data-size="line">icons just as you would with regular hierarchies from the dataset.

<figure><img src="/files/QIwK9MGpVFE9SD1Ljv9l" alt=""><figcaption><p>Expand and collapse</p></figcaption></figure>

To delete a group, select it and click **Remove**.

<figure><img src="/files/FDJyx71BXsuvzhaWi6wA" alt=""><figcaption><p>Removing groups</p></figcaption></figure>


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