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. - 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.

Select the
Dataframe
that contains the column you want to split. Select the
Column
that you want to split. 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. 
Press the
Split on delimiter
button and notice the new columns in your sheet. 
Last modified 1yr ago