row. With that object, you can reference any column’s value for each row. Let’s say you have a column called
name, where each row contains a person’s full name, like:
Bostock, Mike. You can write a simple expression to extract the last name into a new
last_name column like this:
row["name"].split(', '). What once took several cells to achieve can now be done completely within the Data Table cell.
Check out the documentation for more details, and let us know if there are ways to make this new feature even better.