3. Dedup by removal— Any duplicates found in the dataset on the specified attribute will be removed.
4. Dedup by obfuscation— Any duplicates found in the dataset on the specified attribute will be obfuscated
by concatenating a number sequence (rows are not removed).
5. Skip first N rows— Skip the first N rows from the sheet
Skip last N rows— Skip the last N rows from the sheet
7. Skip after if equals to — Skip rows after a specified value is found on the attribute
Skip after if not equals to — Skip rows after a specified value is not found on the attribute
8. Skip after if empty— Skip remaining rows after an empty value is found on the specified attribute
9. Skip row if empty— Skip the row if an empty value is found on the specified attribute
Skip row if not empty— Skip the row if a non-empty value is found on the specified attribute
10. Skip row if less than— Skip the row if the value found on the specified attribute is less than the condition
value
Skip row if less than or equals to — Skip the row if the value found on the specified attribute is less than the
condition value
11. Skip row if greater than— Skip the row if the value found on the specified attribute is less than the condition
value
Skip row if greater than or equals to — Skip the row if the value found on the specified attribute is less than
the condition value
12. Skip row if equals to — Skip the row if the value found on the specified attribute equals to the condition
value
Skip row if not equals to — Skip the row if the value found on the specified attribute is not equal to the
condition value
13. Skip row if in list— Skip row if the value found on the specified attribute is in the list (a comma-separated list
of values)
Skip row if not in list— Skip row if the value found on the specified attribute is not in the list (a comma-
separated list of values)
14. Skip row if starts with— Skip row if the value found on the specified attribute starts with the condition value
Skip row if ends with— Skip row if the value found on the specified attribute ends with the condition value
15. Skip row(s) if aggregate equals to — Skip rows as grouped by the specified lookup attribute, whose
aggregate on the aggregate on attribute equals to the condition value
Skip row(s) if aggregate not equals to — Skip rows as grouped by the specified lookup attribute, whose
aggregate on the aggregate on attribute not equals to the condition value
16. Date Range Fix— Algorithmically adjust (redistribute) the dates found on the attribute to be in the range to
the specified date range
18. Uppercase— Convert the value found on the specified attribute to uppercase
Lowercase— Convert the value found on the specified attribute to lowercase
19. Number round up— Round up the value specified on the attribute to the specified precision
Number round down— Round down the value specified on the attribute to the specified precision