Split column
The Split column step can be used to split data from one string column into multiple columns based on a delimiter.
Parameters
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Input column: required, select a string column to split.
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Delimiter: required, specify a delimiter to be used to split the data.
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Both single characters (including a space) and multiple characters can be used as delimiters.
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You can also select newline or tab characters as delimiters from the dropdown list.
-
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Number of columns: required, enter the number of columns the data should be split into.
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The newly created columns keep the Input column name and include part 1, part 2, etc., in the column names.
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If the result is an empty value, No value is displayed. See Working with empty values for more information.
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If the number of columns to be created is lower than the number of the resulting split values, the last column will include the remaining values in the unsplit form.
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Examples
Example1: The Phone number column sometimes includes multiple phone numbers, separated by commas.
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Result of spliting into 2 columns:
| Phone number | Phone number part 1 | Phone number part 2 |
|---|---|---|
+17755784197,4063492232,504.626.7424 |
+17755784197 |
4063492232,504.626.7424 |
4063492232,504.626.7424 |
4063492232 |
504.626.7424 |
6710488141 |
6710488141 |
No value |
No value |
No value |
No value |
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Result of splitting into 3 columns:
| Phone number | Phone number part 1 | Phone number part 2 | Phone number part 3 |
|---|---|---|---|
+17755784197,4063492232,504.626.7424 |
+17755784197 |
4063492232 |
504.626.7424 |
4063492232,504.626.7424 |
4063492232 |
504.626.7424 |
No value |
6710488141 |
6710488141 |
No value |
No value |
No value |
No value |
No value |
No value |
Example 2: The Customer name column needs to be split into 2 columns, with space as the delimiter.
| Customer name | Customer name part 1 | Customer name part 2 |
|---|---|---|
Joe Michael Smith |
Joe |
Michael Smith |
Jane Smith |
Jane |
Smith |
Anne |
Anne |
No value |
Smith |
Smith |
No value |
Example 3: Address is on multiple lines and it needs to be split into three individual records. You can use \n as the delimiter here. See Remarks for more information.
| Address | Address part 1 | Address part 2 | Address part 3 |
|---|---|---|---|
Baker Street 221b NW1 6XE London |
Baker Street 221b |
NW1 6XE |
London |
Remarks
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The original column is kept in the dataset by default. If you want to remove it, use the Delete column(s) step.
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You can use escape sequences (
\n,\t, etc.) as delimiters. -
To use a backslash itself as a delimiter, enter two backslashes.