Data wrangling
The hands-on work of getting raw data into a usable form: cleaning it, reshaping it, and combining it with other data.
The term overlaps almost entirely with data preparation. It tends to be used for exploratory, one-off work, where the steps are worked out as the problems appear.
See also
- Data preparationEverything done to raw data to make it ready for a particular use: cleaning, reshaping, combining, and selecting.
- Data cleaningFinding and correcting values in a dataset that are wrong, inconsistent, duplicated, or missing, so the data can be relied on.
- TransformationAny step that turns data from one form into another: converting a type, splitting a column, combining tables, or calculating a new field.