# Split a column on delimiter

There are many reasons why you might want to separate a column on a delimiter. Two of the most common are:

* A single column contains multiple pieces of information that are more helpful in two separate columns. For example, a column `Name` that contains the first and last name separated by a space.&#x20;
* The data in a column is prepended with an unnecessary label that clutters your analysis. For example, a column of numeric product ids all start with the prefix "productID-". This prefix gets in the way of sorting the product id's in ascending order.&#x20;

#### Open the Split Text to Columns Taskpane&#x20;

<figure><img src="/files/JbBZ0GBbntf3QmjXTDkw" alt=""><figcaption></figcaption></figure>

#### Configure the taskpane

Select the `Dataframe` that contains the column you want to split.&#x20;

Select the `Column` that you want to split.&#x20;

Use the `Delimiters` section to build the delimiter that you want to separate on. If you select multiple delimiters, either of them will trigger a split.

The `Columns Preview` shows you the first three rows of the new columns you will create by splitting using the current configuration of the taskpane. &#x20;

![](/files/6rvfT7Epp79ndyIljD9n)

#### Split the column on the delimiter

Press the `Split on delimiter` button and notice the new columns in your sheet.&#x20;

![](/files/lMDRLTAqLJOTNAac4hfM)


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