Cleanse
The
Cleanse action can help eliminate some of the impurities within the dataset to allow better post-processing. For instance, due to human error, there are leading spaces in some cells within a column, "Female" vs. " Female", causing the data to arbitrarily inflate in unique categories. Or in another example, some values are "nulls" within a numeric field, forcing the field to become a string field and lose all the numeric features. Acho currently supports cleaning action at the column level, and the available cleaning actions are:
- cut string
- from left
- from right
- remove a specific character
- padding with a rule
- from left
- from right
- uppercase/lowercase standardization
- capitalize all characters
- capitalize the first character
- decapitalize all character
- trim leading zeros
- trim spaces
- from both left and right
- from left
- from right
- replacing string nulls with blanks
- replacing numeric nulls with zero
Last modified 2yr ago