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.

Creating a dataset with merged data

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 right herearrow-up-right.

Hiding columns

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

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:

Renaming columns

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 combinationarrow-up-right 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

  • 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: Data types and formattingarrow-up-right.

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