> For the complete documentation index, see [llms.txt](https://docs.coupler.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.coupler.io/functionality/data-set/columns-management.md).

# Columns management

Using Coupler.io, you can structure your data output according to your needs. Columns management features are applicable separately on each Source tab, and also data sets you create.

{% embed url="<https://www.youtube.com/watch?v=TuywQ-89tls>" %}

### Creating a dataset with merged data <a href="#creating-a-dataset-with-merged-data-yqir2" id="creating-a-dataset-with-merged-data-yqir2"></a>

{% @arcade/embed flowId="DTXWRJWMI5z3I5U6EcgG" url="<https://app.arcade.software/share/DTXWRJWMI5z3I5U6EcgG?ref=share-link>" %}

To effectively use data from multiple sources, you can use the "create dataset feature" to merge data. To learn more about how each grouping method for your data works, check out this article:

{% content-ref url="/pages/4IflfvoyGYOQAJyoAnUH" %}
[Combining Data](/functionality/data-set/combining-data.md)
{% endcontent-ref %}

### Hiding columns <a href="#hide-columns" id="hide-columns"></a>

{% @arcade/embed flowId="tcXC8es73469CXViQuwL" url="<https://app.arcade.software/share/tcXC8es73469CXViQuwL?ref=share-link>" %}

When working with your data, you may find that you need to hide a column because it contains irrelevant or incorrect information, or because you want to clean your data.

To hide a column:

* Hover over the column you wish to hide and press the three-dash menu button that will appear.
* Select "Hide Column"

You can also manage the visibility (hidden or shown) of your columns through the **Column management** menu:

* Choose to hide or show the columns by pressing the "eye" icon.
* In there, you will also find the option to hide or show all columns.

### Reordering columns <a href="#reorder-columns" id="reorder-columns"></a>

If you want to group related columns together or if you simply want to move a column to a different position to analyze your data better, you could do so by clicking on the column you wish to move and dragging it to the desired position:

<figure><img src="/files/jUjILxae89iaDUajScNq" alt=""><figcaption></figcaption></figure>

### Renaming columns <a href="#rename-columns" id="rename-columns"></a>

{% @arcade/embed flowId="0UDCn3FIzYBkcVgObK3b" url="<https://app.arcade.software/share/0UDCn3FIzYBkcVgObK3b?ref=share-link>" %}

Renaming columns is important in cases where the column names are hard to understand or you need columns to have the same names in order for [data combination](/functionality/data-set/combining-data.md) to work.

* Hover over the column you wish to rename and press the three-dash menu button that will appear.
* Select "Edit column"
* Specify the new column name you wish to use.
* Press "Apply".

### Changing the column type <a href="#change-type" id="change-type"></a>

{% @arcade/embed flowId="0Kw4MgifsxboFt25Spea" url="<https://app.arcade.software/share/0Kw4MgifsxboFt25Spea?ref=share-link>" %}

* Hover over the column you wish to edit its type and press the three-dash menu button that will appear.
* Select "Edit Column".
* Under "Column Type", select the new column type you want to apply to your column.
* Click "Apply".

Coupler.io supports different data types and formats. You can read more details in the article:

{% content-ref url="/pages/pldamQ4EDwBjX3hRXsdU" %}
[Data types and formatting](/functionality/data-set/data-types-and-formatting.md)
{% endcontent-ref %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.coupler.io/functionality/data-set/columns-management.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.