This section provides an overview of how to perform mathematical operations between columns.
Before you begin, you should verify that the data types of the two columns match. Check the icon in the upper left of each column to verify that they match.
To change the data type, you can:
After setting data types, you should address any missing or mismatched values in the column. For example, if you change a column's data type from Decimal to Integer, values that contain decimal points may be reported as mismatched values. Use the
ROUND function to round them to the nearest integer.
See ROUND Function.
Tip: You can use the
See FLOOR Function.
See CEILING Function.
You can express mathematical operations using numeric operators or function references. The following two examples perform the same operation, creating a third column that sums the first two.
NOTE: Expressions containing numeric operators can contain more than two column references or values, as well as nested expressions. Math functions support two references only.
For more information, see Numeric Operators.
For more information, see Math Functions.
To perform math operations, you can use the
set transform to update values in a column based on a math operation. The following transform multiplies the column by 10 and adds the value of
All values in
colA are modified based on this operation.
You can use the
set transform to perform math operations based on a condition you define. In the following step, the
Cost column is replaced reduced by 10% if the
Qty column is more than 100. The expression is rounded down to the nearest integer, so that the type of the column (Integer) is not changed:
For rows in which
Qty is less than 100, the value of
Cost is written back to the column (no change).
To create a new column in which a math operation is performed on two other columns, use the New Formula transformation. The following multiplies
UnitPrice to yield Cost:
If you need to work with more than two columns, numeric operators allow you to reference any number of columns and static values in a single expression.
However, you should be careful to avoid making expressions that are too complex, as they can be difficult to parse and debug.
Tip: When performing complex mathematic operations, you may want to create a new column to contain the innermost computations of your expression. Then, you can reference this column in the subsequent step, which generates the full expression. In this manner, you can build complex equations in a way that is easier to understand for other users of the recipe. The final step is to delete the generated column.
If you are concatenating string-based content between multiple columns, use the Merge Columns transformation The following creates a third column with a dash between the values of the two source columns:
Tip: This method can be used for columns of virtually any type. Change the data type of each column to String and then perform the merge operation.
Array column types can be concatenated with the ARRAYCONCAT function. See ARRAYCONCAT Function.
You can use aggregate functions to perform mathematic operations on sets of rows. Aggregated rows are collapsed and grouped based on the functions that you apply to them. See Aggregate Functions.